AI systems exhibit a 'credibility gap' where they claim neutrality but fail to provide objective, trustworthy information, often presenting fragmented and repetitive content without moral grounding or contextual purpose. Epistemology serves as a remedy by establishing a 'wise mind' paradigm that prioritizes truth, wisdom, and public benefit over mere efficiency, requiring AI to be not just efficient and effective but also wise, with every output contributing meaningfully to society and grounded in ethical frameworks.
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Distinguished professors honored as the beloved family members of our distinguished speaker, students and our audience China.
We shall now receive the welcome remarks with my honor to invite professor Dr. the terrible and very great pleasure to warmly welcome our brother in Malaysia and that of concept or is not much of a disc why many contribution authority.
Those who believe, those who know in for in our state of human noises lecture.
on leadership and contribution. Today we celebrate the lecture by professor Dina all What's behind this moment is the feelings we wear We ability to sleep.
children inspire future generation. Thank you for your support.
said about this is my first stage.
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It's like this at all.
technologies.
Our professor that we are celebrating today let me just before I read this uh prepared words. Let me just say that on university very happy to actually be here so far because I have to change the university and I only know because this is with me just now. This is really one of the very important events that why the universities come about and the fact that it's a professional means that it comes with it years if not decades of knowledge experience sometimes it's very difficult to put the price of so as I mentioned I think uh this is the beginning in the last meeting on Friday would love to see more lectures being organized. So congratulations to the community for for this maybe by internationology analyze your speech results So he left the university continues to trans how information is generated, accessed and interpreted. I think the last part is very important. The interpretation of that that data uh can give very different views about the same uh uh data or the same event. While these technologies bring remarkable benefits and I think there's no doubt that we have to master these technologies, they also raise important concerns regarding the credibility, reliability, and accountability of AI generated outputs. These challenges invite us to reflect more deeply on how knowledge is constructed, validated, meaningfully applied and meaningfully applied in contemporary society. In this regard, once again, we are honored to celebrate the academic achievements of prophet Dr. Roselina of mine whose contributions in information retrieval, semantic technologies and knowledge systems have significantly advanced both scholarly research and broader discourse on the ethical use of technology. A professional lecture today is not only a recognition of a distinguished academic journey but also an opportunity for all of us to reflect on the evolving relationship between knowledge, technology and epistemology in the age of intelligent systems.
You have intelligent systems, you need intelligent people.
uh the people may be intelligent but they may not know how to handle the systems. I can safely say I probably come in that category.
uh this AI world is is something uh quite challenging for many of us and I hope KICT and its related uh centers and units play a part to actually make sure that everybody in the IUM feels comfortable dealing with ICT with AI and so on. I think this is very important uh because we can have the best systems around but if people do not know how to how to benefit from it and how to utilize it I think that's going to be a very very sad thing. Yes.
So please I I I hope uh prof and your team at ICT please assist our ITD and others to to ensure that everybody staff students admin are able to appreciate you know this this this wonderful uh development in in in ICT and in AI systems. I would like to extend my sincere appreciation to the organizing committee for their dedication and efforts in making this event possible.
Uh finally just very short uh point um as part of research and innovation activities inum.
Uh I would just like to you know inform everybody that events like this and also research and innovation activities are going to be given uh a more important role in IU.
Um for some of you I think you all may have no problem appreciating this. you are doing research, you are making those innovations.
But I think for many staff in IUM over the last uh 10 maybe even 20 or even 30 years our main function has been teaching and while teaching is of course fundamental it's it's part of our duty research and innovation is also part of our duty. So I I've been trying to stress this in all meetings and I will do again the same thing in the meeting in a few minutes time to stress the fact that as an academic our functions are at least four teaching research publication and community engagement right so I'm happy to announce that the that the Senate on Friday has already uh listened to our our presentation and profctor has also mentioned it that 2026 we will will see a bigger importance given to the research and publication agenda. Innovation is is something else.
We need to have you know separate preparation for that. But certainly the research and publication part this is something that our university for all these years maybe has made it sound as if it's a should be but it actually it is a must be. You know we must be doing research and publishing as part of our duties as academics. So I I I I make a plea to everybody here. Please join us uh in this uh journey that we are going to be pushing this year 2026 as we have done last year. Uh and we are looking forward to many many more uh presentations like this as well as other events that help us to perform our functions as academics.
Thank you very much bro for the insightful and encouraging open remarks.
Ladies and gentlemen, as a guesture of our sincere gratitude and appreciation, may I respectfully invite professor and latest Dr. Tu Muhammadu, de of KICT to present the token of appreciation to professor Dr. May I invite both distinguished guests to the center of this room.
you very much uh professor uh before you leave we would like to have the photo session with our audience. All right. So please um yes you may be seated um audience at the left and also at the right perhaps uh you can collaborate to Uh, move and get it to get it in the center of this room.
One, two, three. Last one. One, two, three. Everyone comes up.
Thank you very much. Uh thank you profess for attending and opening today's event.
Um professor we will be taking his leave now the chair that you are singing.
Professor Before we continue with the next agenda, may I invite brother to lead the presentation?
Allah.
Oh Allah, we ask you for the best of this day, the best of his opening, the best of his victory, the best of his life, the best of his blessing and the best of his guidance. Allah almighty Allah on this blessed morning, we beseech your rahma and grateful towards you in favor of all the infinite blessings to us to live in safe and prosperous life. We seek your blessing for a flawless and smooth running of this GIC professor lecture by prophet Dr. Rosina Husman from the beginning until the end provide us with guidance in our affairs grant us wisdom beneficial knowledge goodly provisions and acceptable deeds for.
Oh Allah, verify verily you know that you know that these hearts have gathered in the deepest love for you met in the obedience of to you. United in your call and pledge to support and protect your sharia. Oh Allah strengthen their bonds.
Increase their love and affections.
Guide them to the righteous paths and fill these hearts with your lives that does not fade. Open these hearts with the abundance of faith in you and the beauty of trust in you and revive them with your knowledge and unite them to testify in the path of love for you.
Verily you are the almighty protector and the utmost best helper.
Oh Allah make this gathering of ours a blessed gathering. Our parting hereafter is a blessed and protected parting.
Oh Allah, lift up our hearts with your knowledge and ease our t for us. Untie our tongue so that people may understand our words.
Oh Allah, we ask you to grant us a right understanding just like the understanding of your prophets, a sharp memory just like the memory of your messengers and a sheer inspiration just like the inspirations of of the angels who are close to you.
Oh Allah, make us among those who listen to the good works and follow the best of them.
Please bless us with your make us responsible intellectuals. Grant us with a valuable knowledge that will be beneficial to mankind. Make us your righteous servants who follow your commands and avoid all sinful acts.
Allah bestow peace to this beloved university and our beloved country. Protect us from any threat and disasters. Neither may make nor natural disaster. And to you, ya Allah, we ask for security and prosperity upon us, our leaders and our country. bestow patience and wisdom in us in order to face our trials from you.
Please accept our deeds and please reward us accordingly.
We seek refuge in your mercy. Reform our entire affairs and do not leave us to manage ourself without your guidance even for a single moment. Allah we pray for peace not war, love not hate, generosity not greed, unity not divisions and we commit ourself to not betraying our prayers with actions that contradict them. Oh Allah, we ask you for the goodness of this day and the days that comes after it and receivek refuge in you from the evil of the day and the days that comes after it. Please forgive forgives us for all of our wrongdoing.
was for now.
Alhamdulillah.
Ladies and gentlemen, we shall now proceed to the introduction of our distinguished speaker and the word of recognition. It is my pleasure to invite Professor Dr. Aram to introduce our speaker.
Alhamdulillah.
and very good day to everyone.
>> Honorful to stand before you today to introduce our distinguished speaker, Professor Din Dr. Rosina to the academic world. She is a worldclass researcher and visionary leader to us at IIUM.
She is a mentor, a guide and an inspiration.
I would like to begin on a personal note.
During my early years at IIUM, while I was still finding my way in the vast world of academia, it was a professor who provided the unwavering support I needed to move forward in my research.
At that time, she was serving as the deputy dean for postgraduate and research.
Profina's academic journey is one of remarkable achievement.
She earned her bachelor degree in business administration finance with minor in economics from Eston Washington University in 1987.
She then came to IUM to pursue her master's in library and information science specializing in biplometric in 1994.
In 2001 she completed her PhD in information retrieval at the University of Wales UK.
This fro when it marked 25th was the beginning data information while playing on the presentation in the national was innovated that it was officially approved to be good man's test in 1992 during her interview as an assistant lecturer she presented a prototype of an expert system designed as a path finder for libraries.
Today she stand as one of the DIS pioneers.
Profina is a specialist in information retrieval, semantic technology, bometric, knowledge management, AI literacy and open science.
Her teaching career has taken her beyond Malaysia including appointment at the University of Bahrain and Jazan University in Saudi Arabia where she initiated the quality academic assessment for the women section.
Currently she served as a deputy dean also graduate research and innovation at KIC, head of the semantic body of knowledge and technology research unit IIM coordinator formos plus the British grants and horizon Europe.
She is also a visiting professor at management science university and external assessor at University Mallaya.
Her past leadership roles include director of the alumni and carrier service division, head of department twice, deputy dean for postgraduate and research twice, president of B camp and vice president twice.
She is also the secretary for Perto Bhan professor G70.
She has served as an adjun professor at Swimbar University of Technology Sarawa campus and as a visiting professor at Hanu University of Culture Vietnam. She has been invited as an expert and speaker at numerous academic and research event in Japan, Maldives, Iran, Jordan, Egypt, Australia and Indonesia.
Beyond academia, she is deeply involved in spiritual leadership.
having a co-founder the US al since 2006 now session number 386 and Tesa since 2011 now session 256 profina's commitment to her student is significant she h she supervised 57 PhD and master students.
I recall with a great appreciation that my very first experience as an internal examiner was one of her PhD candidate Dr. I'm not sure if she's around. The wife of our esteemed >> in the realm of research. She she has secured in numerous highlevel grants including techno fund FRGS, ERGS, PRGS and tripleI grants.
I have had the privilege of joining some of these projects.
as a core researcher and witnessing her leadership firsthand.
Under her guidance, our selfhelp mam based search engine not only succeeded but also secured and intellectual property and in the process of commercialization and our we semantic search engine has secured two trademarks.
She was sponsored under an EU grant to present her proposal on semantic based search engine and attended research meeting and networking session in many countries.
She has examined 39 PhD thesis local and international and delivered 33 talks and workshops on PhD supervision and bishm marking of PhD by research programs.
She has conducted 50 local and international workshop and seminars related to academic matters and research method and has reviewed over 120 journal manuscripts.
Recently she submitted a total of 36 concept note from IIUM to Arismos plus in for session 2025 prof is deeply rooted in Islamization andic epistemology.
As the current Islamization coordinator at KICT, I recently reviewed our faculty output in ICT and Islam. What I discovered was remarkable.
Out of 48 thesis produced in this niche area, 13 of them nearly 30% were supervised by Prof. Based on my observation, this is likely the highest level of contribution to this field not only in IUM but in the whole of Malaysia.
Her innovation have gained national and international recognition.
She received gold, silver and bronze medals for her research work at various exhibitions.
She founded the Wii semantic search engine. She won the IndoPac special award and the MTE gold medal, was also a broadcast on RTM TV1 and featured in Asia News.
She received award for the Minhaj Mestri and Barnaby's novelity ruler.
She w she was the first at IIUM to receive the highly commended paper award 2005 from Emerald Publishing Group for her article and applied ethnographic method for evaluating retrieval features in the Edronic Library 2004. Her book t friends in information retra system has been used as a textbook and reference in several university.
Her work on image travel was cited by researcher in Austral of its kind and officially named M3.
She has received the best paper award and presented her research in 22 countries including our joint participation in the international conference on Islamic application and technology Ian 2017 in Simarang Indonesia and before that in 2014 in Jordan together with professor denture from Zan. Her books are used as a reference.
Her books are used as references in the USA, Canada, Taiwan, and the Dominican Republic. Professor Lena continues to push the boundaries of knowledge. She has authored 82 book chapters, edited six book chapters, and edited six translated books.
Her latest books in 2025 include scientific research and discoveries based on the understanding of the Quran and the universe.
and another book Islamic Worldview and society which I am proud to have a co-author and edited alongside her. She is currently completing a book on information retrieval and AI literacy.
Current research focus on ethics and social trust in AI adoption, propagation of a truth, integration of knowledge management and AI concept based research methodology in information science and aheadic framework for AI. Professor Lina is more than a professor. She is a visionary.
She leads with her heart and mind guided by an unwavering commitment to epistomology.
Without further ado, please join me in welcoming a true leader, a brilliant researcher and a wonderful colleague, professor that Dr. Rosina to deliver her talk.
Thank you prof for the gracious and touching introduction.
Let us now direct our attention to the screen for a special video featuring the profile and academic journey of our distinguished speaker professor Dr. Rosin Oman.
Beautiful montage. The journey we have just witnessed shows remarkable achievements and a life of dedication that inspires us especially the younger generation to strive for to strive for excellence and contribute to others. Ladies and gentlemen, we have now arrived at the much awaited moment and the highlight of today's event. It is now my greatest honor to invite our distinguished speaker, Professor Dr. Osina Osman to deliver her professor lecture entitled the credibility gaps targeting epismology as the remedy for AI non search results.
The floor is yours.
Alhamdulillah.
Alhamdulillah.
my dear guest, professors and my colleagues and also researchers from IBM of course I so I would like to acknowledge okay our guest uh profan proof emmeritus technologist Dr. Muhammad ible from Dr. Yumi Zuani Johanis sorry Yumi Zuhanis as hashir Dr. Mahadi Hassan from the Madani research center Muhammad Ahmed Reser from Arena Muhammad sorry Mr. Ahmed from Global Peace Mission Hashiman Muhammad from Islam.
Okay. distinguished professors, prospective academ guests, the beloved family members of mine uh and students and our YouTube audience for coming.
So today I'm presenting the professor talk lectures entitled the credibility gap epistemology as remedy for AI's non-committal search results.
Yes. Uh the title might seem uh very attractive to some and also confusing to some. That was the intention. Anyway, uh various research projects and teaching experiences since 2001 have identified the gap and what we call the credibility gap. It's not a new term. It has been there since 1970s.
The outcomes of workshops and classes improve the understanding and expectations uh surrounding the non-committal search results because sometimes you know as human we always say I pass when somebody asks us for an opinion we say I pass. So that was the first time I heard about this was in 1994. So I was wondering what does it mean? So it means that I'm neutral. Okay. So I wonder what does that neutral means? Okay. Does it mean that you do not want to decide for you?
So the submissions of research proposals through consultants outline the parameters of a forwardlooking objective. So now we are getting AI everywhere, AI tools, but we need to see what's in the future for us and have ourselves be prepared especially the young generation as early as 7 years old, 9 years old or 12 years old. Right?
Okay. So uh the contemporary AI is just beginning to explore while we already have seen this many as behavior of the human being. So AI is here actually in a way imitating our behavior and our attitude.
So uh before we move to the next slide, let me define the word credibility and credibility gap.
So uh Cambridge dictionary defines credibility as the fact okay the fact that someone or something can be believed or trusted. Okay. So for example when someone brought the news we say how shall I believe you? To what extent I should believe you? What made you think that I would believe you?
Okay. So it is something that we should apply to AI tools and Mariam Webster provides an example.
Another problem is the spread of fake news and the credibility of sources. So that's the example given by Mariam Webster dictionary. Colleen's dictionary defines credibility gap as disparity between claims or statement. This is what you claim but if you look around we we hear with our eyes there is something else.
So a disparity between claims or statements made and the evident facts of the situation or circumstances to which they relate. Mayfair another dictionary provides an example. This is the credibility gap. It is one thing to generate an answer and another to ensure that answer is consistent. So this is our job and I must say that it has become a cognitive overload for us. Even AI promises to help us and assist us.
It has to be consistent, explainable and aligned with policy. Do we have the I policy at our universities and our faculty? It is one thing to write code from a prompt another to integrate that code into regulated customer critical systems. So in the case of May they refer to the business model and the customer system.
Islamically surah al verse six. or you who have belief, if there comes to you a disobedient one with information, investigate lest you harm a people out of ignorance and become over what you have done regretfully. So that's the opening uh of your professor lecture today. Next slide.
So in the okay a credibility gap. Okay. Uh looking at the false equivalence trap. Okay. So when it comes to the credibility gap in digital information, it is a very critical crisis that intersects between information science, AI and Islamic values. So I came I come from the information science department 36 and do not pursue that of which you have no knowledge. Indeed the hearing, the sight and the heart about all those one will be questioned.
Okay. So we have here the false equivalence trap. Okay. So if you look at the old nursery rhymes B or B one is blaming the other and then finally it reached the snake and the snake state that's his nature its nature right. So therefore we are being given a false claims that this is the cause of one effect of being slander etc and so on or to think. Okay. So this is what we having in the AI now the false equivalent trap when AI said that I'm neutral but what is that definition of neutral okay so meaning that they're not going to take sides fine but that is not objectivity okay it is no steal of a bias let the users decide so first the input query so a user came in okay comes in and uh put in a string of promps into the AI search engine or AI search tool and because it is for the systematic literature review. So the AI according to that level of intelligence for producing a systematic literature review will do all the authors with all the inclusion criteria, exclusion criteria and the period affected and they say that author X says this or okay this author says X other author says Y and then we ask our student to temporary and is to report it narratively.
Okay. again did not pass any criticism judgment or any analytical thinking okay as the output. So it's just categorized okay which actually can be easily done by the current uh the existing databases and also in just a simple Excel sheets.
So meaning that AI is not that intelligent as we expected because if it's just only to categorize who says X who says Y okay so that's why okay at our faculty I have encouraged even for my students it's compulsory whenever they do systematic litigation review they have to do another review on top of that okay such as the matrix because that would trigger okay their time into being critical and not following the influence of AI tools to say that we have to stay neutral. Okay, neutral is not like you we have a liquid scale of five for example in the middle is neutral. Okay, it's not that kind of neutrality.
Next the result okay we have the illusion of balance when the system say that I am being objective okay I'm trying to be objective but actually there's no balance in such objectivity because neutrality is not objectivity it's never equals to so it is our job as the human being having the human intellect following the prophetic intelligence that we should aware of that illusion and then We start to distinguish between what is a quality paper and also what is not and what is not because it has been published in scopus. We have to say something. We're not going to argue on the credibility of the papers because it has gone through reviewers and also the journal editors.
But we're going to put our opinion about it. And what else? if it is a non audited un audited search unodudited AI search tools because nobody said about it but because we got fantastic answers so we are really excited to put that in our paper and also for the students to put it in the in the thesis so it became a conspiracy so both perspective unfortunately for AI presented with equal validity okay So that's why the field of medicine okay for example like their database such as confidence okay and then they also have a clinical key they're very strict and they really follow okay in a way that epistemology they maintain the quality and they say something about the medical reports number four the impact okay uh I must say that from my experience experience in my class with my students and also those participants in my workshops. Everyone said that actually we have cognitive overload in fact cognitive overloaded when we use AI because we always have to check every citation.
Okay, every citation. So whereas in the in Scopus for example, we don't have to do to do that. Okay. So in fact when they use the Scorpus AI tools they don't have to check they just get the search keywords the queries and the structure and then they edit a bit and then they searching then scopus normal search and then they found the results better well ran etc and so on. So what is it you know to compare to the unodited AI tools next.
Okay. So now uh this come to the uh a bit philosophical but not too far away in terms of generations. Okay. Like this from Malik Bi. Okay. Uh develop power disconnected from contextual purpose. We live in this world with a purpose. Okay. Allah has created us with a purpose for a purpose and we live this world with the purpose that we have served in this world. So for Malik binabi he has an equation okay from the human side the man time and the soul. So we need soil we need three of them three of these components.
Unfortunately for the AI we only have two man time meaning that this developer and the processing power. Yes AI can give an answers or do powerpoint slides etc in just a few minutes. Okay the answer is so fantastic the assignment is due at 12 midnight and now what 11:30 or 11:45 gets it done 1 minute before midnight and put it up in for example.
So it's very powerful in terms of processing power but the soil is missing. So meaning that the moral grounding and the contextual purpose is missing. The IT tools never care never put a stance on the social values and also the moral values because for them it sounds more like religion. It sounds more like something controlling. It's like a boundary that you know suffocate tools and therefore because of we don't have the soil in the AI so we call it as epitomic noise just like our G mentioned earlier we have to differentiate return between the right signal and also the the noise so it is meaningless okay I have gone through at least 100 queries input into chat activity into Gemini AI and then into lit map and then into notebook. Okay. And also Jenny AI and they are all meaningless and repetitive.
Okay. Repetitive. So we did an attempt and we found that okay the whole five pages came from only one source whereas I uploaded 100 articles.
It's only from one source. So the AI tools cannot analyze the other 99 sources. Okay. So and hallucinate and foster skeptism. Okay. So but however we learn new terms from AI then we have to okay the history of the of the term the terminologies then we found that actually the AI is skeptical about many things. So we are blinded by AI hallucinations and we do not know that is AI hallucinations only when we talk to our colleagues or professors. Okay, because the outputs are actually subjective. Okay, it is subjective to the developer and the designer of the AI tools. You do not know what culture is that okay it sounds so strange to the global culture. I'm referring global culture to our academic world. Next.
Okay. So now uh I'm going to compare actually to promote as well. Okay. The philosophy and the concepts built and also the paradigm built in our wise team. So the standard AI paradigm they don't have a stance. They always non-committal. non-committal here means that they do not want to commit any perceptions leading related to social and values. Okay, they will just go with whatever they try to tell us that I am being neutral but for wise ment is commit and the word come is uh introduced to us by professor Dr. acic.
So we should wisely filter the epistemic noise. Okay. Nature of truth. Yes. For the standard AI program, it is always fragmented. Okay. Bit and pieces. Okay.
And somehow to confuse us or to mislead us, they put it as bullets and also point form. So therefore we just have to elaborate ourself based on our standing because things that are in PowerPoint slides when is presented in bullets it's open to many interpretations as compared to paragraph text and descriptions. Okay, it will have a clearer picture even though visually it might be boring. Okay. So for the wise magic paradigm we have collective and it is a unified reality rooted in mlah public benefit. So it is for the public.
So every thesis must have the contribution to the society other than the theoretical contribution. So sometimes we have the heading as practical contribution. What is it to the society? the society the public has already given the governmentary contributions their support to universities and colleges. So how does that contribute or return anything special to them? Okay. So therefore we work on that. So for example we have our Islamic family law. Okay. as one of our uh ontology. I give for a voice where you would like. I give the So whatever is happening in all the chara is it the same as And we have the scientific reality because this is what available in Scopus and other databases. It has to be peer reviewed and also we need to add from the masaha the public benefit and as I said earlier every moral truth must exist in the world's reality. We cannot isolate okay our faith into something what we call the closed world whereas actually our job our duty is to go into the world's reality. This is where the gets into our academic uh world by integrating and epistemology. Such system are forced to be not just efficient but wise. Okay. Previously we say okay everyone must be efficient, everyone must be effective. Every system must be efficient. Every system must be effective. But now because we have AI it has to be wise as well. And that's the fundamental question. What benefit does this bring to humanity? Next.
Okay. For the wise mic systemic funer.
Okay. Why I'm talking about the wise minded quite a number of times. Okay. U is that in my experience whenever we try to propose or uh give a suggestions okay uh to a certain problem in the western world okay in US Europe and UK what happened is that they always say show us an example show us a sample it's not just talking okay so that's why since then every time when I say something I always have a backup okay to support me okay it can be in the form of documentations can also be a prototype okay so that's why when I uh had that interview okay I brought my prototype with me and that was in 1994 1992 when I I applied as an assistant lecturer at the department of library and information science so we are trained that way okay because when we talk and talk but there's nothing as evidence. So therefore we brought our evidence. So that's why to everything that I said I put out a claim and I show you the sample. So for the wise mantic okay uh we have what >> okay that we would like to reduce the epistemic noise and uh the standard AI data. So we appreciate the data that AI has collected and therefore we want to make use of that is not everything that is useless or harmful. So let us clean it. Okay, let us filter it. So that's why we have layer one the ontological clustering. Okay, this ontology is not simple. We cannot do it in one month.
Okay, it can take like three at least 3 months at least and also can be 6 months or one year. It's not something that is a very uh simple use okay or simple design because we really need to test it you know uh in in the domain and sometimes it went to like two or three years. Okay. So to avoid that many years okay we have also um sought okay or consulted okay experts in the field and they're not ordinary people they are people who are really on to onto it layer two makam based triggers so this is the makam based search engine where does this word makam come from okay it was a series okay drama series from TV I think when you talk about a scholar I think who has to go to war to help the sultan of the state and then he really you know um wrote I think manuscript and he puts it in the river capture okay because he knows that he's going to die in that field the ruler this come from okay and I really admire and inspired by his work. Okay? Because whatever he said even though sounds like human sciences or social sciences but actually it really inspired people from the technology and the scientific world. So it's filter filtering repetitive imitation. So AI has been returning the same answers over and over again. Okay.
So meaning that there's nothing new and then it's very tiring because we have forgotten what we have checked just now and then we saw it happen again and then we check again okay because what is given to us are just passages and of course the target is the feeder okay for whatever level from from beginning from the foundation to the upper most so it give clarity and why synthesis next Okay. So this is the ontology. Uh we have this is for the >> and we are going to go for the okay after this.
And then we have uh the ontology also.
And it's very sad because we saw cases like you know suicide. It's not just a mere but it's more serious you know it's like of course we're not going to talk about all the one but something depressing like or society and then we have the Islamic finance and banking okay this is from Israel and also IM IBF okay and we found that okay for Malaysia our Islamic banking is a product Okay. However, in South Asia, okay, Islamic banking is both a product and a social welfare.
Meaning that we should run away from rebot as far as possible, okay, from the conventional system. Next, so this is the mang based search system where we receive the IP. So we have seven levels.
So we did the triggers okay that is applicable to issues even the climate issues and it is based on mean hydro epidari.
So what we have is that level one level two. So it can also be used for learning selfarning.
Okay. And it can be in private. Okay.
But of course we are not imitating some religion where you go to a box and then you know in that box you confess and then the person on the other side say you are forgiven my son or my daughter.
It was not intended that way. Okay. But the thing is that our intention is that when we say private it means that you can explore the system and your promised to be secured.
So the first initial state okay this is finite state machine and it is the knowledge of the affirmation of oneness.
So this is where the ty epistemology start and it ended up with uh thankfulness shuk. So here let me read to you the case that we have uh with one of our uh partners. Okay. From uh Tuki, we were invited uh to collaborate on the agent conversation for building project.
So we say building B E A L D I N. But if you look at it closely, it means BL.
Okay. So of course um we kind of agree okay with that term with the name of the project and that was in 2012 okay going for the EU grant. However okay we have issues because we do not want it to be uh rubbing the bottle of genie and the genie came out and then you know um fulfilling our wish. Okay. It's just a concept. Nothing to do with faith or shik or anything like that. However, okay, we hold fast to this particular verse 36 to 40. So one said, "Oh Jin, which of you will bring me a throne before they come to me in submission?" A powerful one from among the gin said, "I will bring it to you before you rise from your place." And indeed I am for this strong and trasy. So the gene said that he is strong and he is truly said one who had knowledge from the scripture I will bring it to you before your glance returns to you. So this is the one that we decided to go for the person who had knowledge from the scripture. So we drew up an agreement and saying that we would like to go for just okay the knowledge part of it and uh we would like to only focus on the agent conversation uh imitating a reference librarian a skillful one a knowledgeable one okay not an ordinary uh reference uh librarian. So we did submit. Okay.
However, there were many changes to be done. So we decided that we postpone it.
And today you have the AI tool such as check GPT relying on agent conversation as well. So indeed okay we have no regrets. Okay. Because is important to our team.
Okay. Next is the novelty rules. This is where the Malik binabi came in. Okay. In terms of knowledge. Yeah. So Malik Babi's thoughts on civilization. We need to conceptualize the framework and prototype. And again as I said earlier when there was a financial crisis globally we were told that give us a sample from your scholar. Okay. So this is our sample. So we use the TRIS method because that's the one that really match is a TR me. distress methods from Russia and it was 1988 but it was really a very strong model. So based on that model uh we found that Abbas Miracle is the one that is leading all the clusters on the Islamic finance and banking in Malaysia and also in the world. Okay. And then we have obligations. Okay. Even from M we have big circles like that. Okay. And of course the one the network citations the one in red are the publication. So we should be proud with our Islamic finance and banking in addition to the Islamic family law.
Layer one next uh layer one okay the ontological clustering the one that I've shown briefly earlier. So we have for the wise mantic we have the reliable effect and we have the non-committal or conspiracy. Okay. So in our place we go for non-committal. Okay. So that to avoid confusion so that people know that no one committed. So therefore we are left to put it aside or open it up for some other analytical thinking and process. So the system weight and rank search result. Ranking search result is very important. If you want to be a good searcher, you do a good boolean search and then in Scorpus and after that rank the results by vector or by relevance and then you will see that you will feel confident not to look at after you know the item after 100 items based triggers. Okay, this is where we need to go for the balance. Okay, I imali is known in this world and also the western world all parts of the world. So therefore it is something that we I mean we do not say something that is not familiar to the to the west.
Okay. So here we depart from balance.
Okay. That means we go from from the min meaningless data into something that we put a value. Okay. I'm not afraid to say that religious value or Islamic values.
So restore clarity. Okay. For example, even in the Islamic law, we have the akat it's very clear stating okay who is going to marry who okay who is going to marry who okay so therefore the epistemology is perfect okay is perfect in terms of knowledge and also in practical and its application so I'm giving I've given you simple one something that we might have experienced Okay. and we experience for some okay so it's not something that is very difficult to understand okay and confused especially when it comes to AI for example like for us it is maha but for AI it is a dowi okay so I told AI please don't use dowi use maha when it comes to the Islamic marriage so when an information creates an imbalance triggers inter so this is where the reading will come and remind the user saying that you know these are the stages the seven stages or seven phases novel ruler on the left hand side is the AI and it is repetitive okay in several searches and also the searches conducted by my students we didn't find something new so my students actually have given up I said that we will go back to another database to the usual one subscribed by the library but with our novelty ruler Okay, we make sure that illness okay originality is there and it will require you less human verification because the initial steps having next from ambiguous interpreter to curator so if you ask me is AI totally not good or harmful I would say no okay we have to accept because that's the latest technology that is today's technology so it just become curator to assist us That means help us clean the data, ask them to find the source and then we get the source and of course we want to go for the confidence level and the level of our own committee. So you will see the the video of Westm and we are going for the high expert consensus. We have many professors they are knowledgeable. Okay. And so we need to consult them and really make them >> uh let them reach the public and the society.
Next, okay, empowering intellectual synthesis. So when we have the credibility gap, we need to close it.
Okay, we need to make sure that the search engine, the AI tools, etc. will do their role as a precise information filter.
It cannot be like you know you have browse 100 search results from AI and in the middle or at the end only one is relevant only one is useful. So we have wasted our time. Okay. So I began my lecture just now with surah.
Okay. So with the intention is good even though we found only one relevant results among 100 search results given by AI. We must remember that we did do something. Okay. And of course we need to take it up other than patience but you also have to go by uh you know reminding everyone even ourself in patience and also in the truth. So this is the conclusion. Okay. So overall picture bridging the AI credibility gap from neutrality to wisdom. Okay. So first the user is confused. they do not know what exactly they they want. Okay, they just gather whatever professor say in their lecture in the class and then they just come and and search okay at the workstation or on their laptop.
So now here comes the AI saying that okay I'm being neutral and they really fall into the trap of false equivalence trap because they are still young still new to the subject matter so they can't differentiate what is the valid and the nonvalid results and AI has mask okay wearing a mask of neutrality I am the neutral okay so it's you to decide okay the responsibility is on you. Okay. So we are telling our students yes AI is helping but at the end of the day if anything wrong you are being punished.
Okay. You have to be fined. You have to receive the punishment or any other uh measures. Yeah. Uh for that kind of uh discipline. So from there I think actually when with the Minhaju everything we can reach okay uh the vision and mission of our university I put it up as I am but of course it goes with other academic word as well. So we have the wisdom based filtering wise mantic we have the newness novelty ruler and the guide from the moral context masaha abilin or our sister m system. So in comparison okay we do not want to have our students our users to have the cognitive load okay uh issues and also decision fatigue. I must say that when I and the team okay uh we are contributing to UTM on the TRGS UTM we had to use AI because that's the approved ways okay to work collectively and we do have decision fat we do have so really we we went selfs finally I said I'll do it manually because I think I'm more skiful than that AI so anyway we have the standard AI search now I'm stance and for us we have committed to truth and wisdom. Of course, it may sound very rigid, you know, very controlling and people say that that's what Islam is, controlling and rigid, but actually it is not. Okay, it is not.
You can still have access to the non-committer and say something about it. Give a stance. Okay, give a stance.
Deciphering fragmented noise or use a road in our role is receiving filtered and reliable truth. subjective shared reality. They're subjective to their own culture and because we are still left behind in terms of technology, we are not part of that subjectivity. So we need the collective and unified knowledge. So with that, thank you very much.
Thank you very much.
Uh I can see that there are several concepts concepts also contains and also the ICT um ICT component in the in this lecture.
Thanks very much for the inviting me and also lecture. We shall now open the floor for the question and answer session. Ladies and gentlemen, if you wish to ask a question, kindly switch on the microphone on the table or proceed uh to the standing microphone. Please introduce yourself briefly before asking your question. For our online audience in YouTube, please type your questions in the chat box and I will read them on your behalf.
Hi. Oh, sorry. Uh, I know here.
Um, so I just have one more question.
So, um, regarding the uh, so how do you see the role of, uh, goes beyond maha or Islamic finance in the Islamic world? Uh do you have plan to include uh cultural beast uh in your uh uh uh to consider to put in your uh hierarchy beside the uh uh the the authority of scholars.
Thank you.
>> Okay.
Okay. Yes. Uh for the first part of the question uh yes it is beyond Islamic finance and banking because included the okay and also the uh of course I mentioned the dua and als uh because we have cases uh as I mentioned earlier among the schools okay the four schools as submitted by the counselors uh by the schools in Gumba okay and also based on announcements of the issues especially related to the moral and uh educating nurturing our our younger generations okay by the ministers of of the of the industry.
So uh when it comes to that part okay going beyond okay of course for the technological features is as presented but uh to the society the dua exe is very important okay especially the short dua because uh the younger children they prefer the shorter version okay so we give them something generic and this only case by case we will give the longer one via the system Okay, we have the system. So I do not wish to reveal further on those cases. Okay, because we consider that has been improving. Okay, uh recently. So that is for the dua and you also have the Quran and the hadith.
Okay, so the Quranic it has a spiral.
Okay, so meaning that it's from the Quranic text and then jump to the translations. So we have the translations. Okay. In uh multiple languages including uh Chinese the Chinese script. Yeah. And uh that is uh part of the effort. Okay. To understand the Quran from a different culture in a way. Okay. Because some words for example like in Arabic definitely one word but uh the translation of that interpretation of that can be one sentence. Okay. So the one that I remember off hand okay is one word from the Quran and then we have two sentences in the Chinese script in the Chinese language to explain even just to explain you know the not really to explain to translate that particular particular word. Okay. And then in that ontology for the Quran and hadith okay we also introduce terms. Okay. Of course, as you say, the Islamic finance and banking and the economics, they do have their own terminology specifically stated in the Quran, okay? Like zakat and and so on, okay? And also in the Islamic family law or the shar. But the things that when it comes to technology, okay, people often go to the extreme one like the big bang theory and and so on and the division or the wall between the the water, okay, the two types of water, fresh water and the sea water. But in the middle okay this is the job of the IT people okay like us okay uh to go into the credit text and find the relevant words okay that describe the AI and etc because right now like okay as I mentioned earlier it talks about innovation so if I were to take the sample from Islamic finance and banking my apology I have to be uh Frank here I'm taking a stairs. Okay. Uh saying that uh sometimes like okay when we align the ontology the academic world ontology did not match the ontology from the industry.
So therefore the likelihood of having that okay on the shelf in the form of publication is there but going outside than that there's no chance. It is only a few percent of that and then okay from the industry they really lack the academic side and academic understanding. So this is where the wise matic did is just beyond it is beyond the proper ontology that appear in the academic world but it goes with the whole reality of the finance and banking including the the issues. Okay. So that's that part there.
Okay. Other than that for the voice ranking itself okay we are going for uh AI okay and the one that we can show you today is just the introductory part of it because currently we are going to have a server okay so that it can it can run okay and to make sure security wise is there last time it was there at my RAM okay using two servers and we have tested with 200 users okay using maxis So now we are going to the renewal. We have to restructure it because of the uh you know the AI uh technology coming in.
So we have to 100% overhaul and and structure it. So what's next for wise men is that it's going to move okay from the non-committed search result into something that people can give a stance.
So acting as the reference librarian back to the actual role during the civilization time the peak of the civilization because right now we need to upgrade okay our uh experts and also information scientists to be at that level. So imagine uh last time previous time in fact in 70s and 80s we have librarians and information uh scientists they produce annotations. annotations and they're very valuable. I myself joined uh the librarians at the National Library of Malaysia producing biblioraphy and one for the orang as in Malaysia. So this is what we want. So this is what was going beyond and of course in many ways it tries to support the vision 2077 as promoted by uh home.
I hope I answer your question.
>> All right. Thank you very much Mr. for the clearation.
Any other question?
Thank you very much for your presentation.
Yeah, I just want some clarification with regard to authority that you have mentioned.
So if I can from your suggestion of that uh you should hold on to Islamicology i.e. the Quran and the internet and so on and use AI only has a reference >> um not in that sense uh actually uh because we cannot take AI as 100 uh reference. Yeah because I mentioned earlier uh what is the intelligence in the AI that we accept as a reference okay because the 100 reference 100% reference should come from the Quran and the and the Sunna and the Sunnah has the prophetic uh intelligence okay and at the same time how many of us has read thoroughly uh the s of of the prophet okay so that to me that is uh uh valid okay uh that means they qualify to be 100% uh reference for the AI okay it's only a tool if it want to be as the point of reference then first thing you must do is that you must imitate at least at least the role of a reference librarian a competent and also a talented and skillful one okay so that's my that's my point Okay, because by nature actually by qualification a reference librarian or reference information scientist is actually well trained. Okay, a well trained uh to be a reference point and they did lots of work but we lost that tradition. Okay, after decades we lost that tradition because it is very tedious. So now that we have AI, we can have AI assisting the reference library. So that means for example so that means they need to find okay and deliver it uh very I mean speedy considering the speed okay and also considering you know fetching the job documents but it is the reference librarians who has to play an important role here beyond plagiarism beyond access outsourcing the job and and so on. Okay, because the the librarian in general has taken an oath. That means once you profess in that profession, okay, in that role, you have to speak the truth. Okay. And of course, someone from can argue with me. A library should just be like an AI neutral actually no such things. Okay. We still need to give our thought not at the reference desk but in our annotated.
So the next step check is minimal for the AI. So the next step should be the AI must dip the intelligence. So this is where the digital twin comes in. But we need to be careful whose digital twin.
Okay. The digital twin of who. Okay. So in our case our project with arena one the digital twin is our honorable director. Okay. because we need to start from the foundation which is the epistemology and he is the person okay knowledgeable and have the intellect on that matter so I hope I answer your question okay right now AI is not intelligent okay so I apologize to somebody who disagree with me but that's my stance okay >> thank you for your question >> thank you very much uh any other questions from My name is Faha. Uh I'm a master student from KCT.
Um I was looking through Google about Wismic and I thought it was a very interesting research especially the search engine. My question is going to be very technical. I hope you don't mind.
>> I don't mind.
Uh I was curious about how do you rank results from the wise mantic because uh either you the current method right now is either using vector based or maybe keyword based but if I got it correctly wise mantic is ontological clusters how does wise mantic actually know which one to rank first second third when the user search for it uh perhaps perhaps maybe like the car makers probably mentioned that uh it's based on the verified research but was that parameterized into the search engine or I'm curious to know about more about the details.
>> Okay, thank you very much for the question. Yes, actually mantic works on the uh ontology. The ontology came from uh the academia and also the industry and uh in some cases it came from the NGO like the global peace Malaysia on the humanitarian side. Okay. Because it defines uh the happiness level. Yeah.
The happiness levels. So the United Nations and the world define happiness in a in their own way and we define happiness by the number of humanitarian activities as well because as I said earlier we hear what we see. Okay. So this is where we uh go for the credibility and identify the credibility gap. So it's not indicators or data uh coming from oneself or or subjective from based on the culture. So we include uh the humanitarian activities translated that ontology. So that is the criteria okay and it is visualized okay in the at the front end for the users to select if they have no idea. Remember we need to reduce the cognitive load okay of of the user so they can identify at the same time because it works on the vector model okay so the vector has been trained yeah the model itself the purpose is to get something similar okay of course at first it was meant for images right especially for the multimedia creative multimedia for example at MU you need sometimes we don't need the whole part we just need one part of the of the photo to create a creative multimedia or campaign you know and and marketing uh strategy as a marketing strategy. So for that also okay uh we use the vector model okay the better space like a neighboring okay so where they can get one neighbor and then you also get all the neighbors that share the same vision and mission okay so imagine you know because in information retrieval we always connect ourself with the real world you know for example the vector we talk about our neighbors or the recall acquisition as we mentioned just now we talk about how we fish and and so happened that all the information retrieval people we have quite a number of similar or common hobbies. One of them is fishing, cycling. Okay. So we have that. So it's easier much easier to understand when we bring what is in reality into into our model. So that is vector. Another one is the probability. Okay. So we compare with the issues. Okay. So that means if let's say the current issues is a okay then the A will be ranked first provided that they are looking into probability.
So there are specific field uh in the search engine that you would like that to appear first so that they can handle uh materials against a particular issues. Okay. So this is what we this is how we rank the item. It's not just a back of words you know. For example, I said query is just put query and then what whatever has the most query and so it has the most occurrence of the query that will be ran first not necessarily so because sometimes the vector model is trained to have clusters. So for example one undergraduate student who does not understand the whole picture of their discipline yet. So they put something a general query. So Wise Mantic will give okay all possible group of ideas connected to that query and then from there the user or the student will start exploring. Okay. So this where we say that the AI tools must behave similar way but intelligently in the sense that when there's a credibility gap that's the that's the one that we should go for in terms of research and publications.
Yeah. I hope I answer your question.
>> Thank you so much.
>> Thank you brother Marisa for the question. Any other question from the floor?
Yes.
>> Right.
Uh your lecture uh stren strengthen my understanding on the uh the power and limitation of AI. We are looking for some proof. So you have given your work proving that of this gap the ative load and this okay because uh refer to the paper in 1936 on on sh problem decision making problem uh he he came up with hoting problem and there's no algorithm that can determine another algorithm Thank you very much.
Okay, we have another question for from Okay, thank you very much.
Allah bless you always. the prof based project.
Of course, the the theory behind it was very solid from Imamazi and he has levels for each criteria which is very solid. But the input at that time because that when was almost some time ago before the new trend of AI. So the data at that time captured by the answer from the user.
Uh but nowadays we can collect the data from many resources from the history >> of the of the user from his the fab side. Last time only the user key in uh the like uh like uh the survey and questions and so on but now the data uh can be captured from many uh sources. Do you think this can be extended for another research? Uh so we can get a lot of data about the user to evaluate the MA and then uh recommend some improvement to the better and >> yes uh thank you very much for the question. Uh yes. Okay. Uh so actually for the assignment that I give to my uh students uh it sounds an assignment very simple but it actually was a tough one was that I asked them to do a meta sorry meta analys yeah so meaning that uh they need to get the data through an AI tool uh actually should have been at least three okay but uh because it's only semester course. So they have to they just take uh the data from one AI2 only. So uh the AI2 is challenge to give the the data. Okay.
And then uh they will do they are doing the uh meta uh analysis. Okay. And we found that uh the well disciplined okay data come from the the field of medicine and related field okay especially uh from the nursing and also the in database such as the clinical okay with regards to the mac. Yes. Okay. We are uh collecting the data but of course we need their their consent. Okay. But we want terms of opinion, okay, and any experiences and their own background that they willing to provide related to that experience, okay? Because otherwise then uh we need to do the cross tabulation.
So that would be quite uh tedious. Okay.
>> And uh we need to really rely whatever is coming out from the statistical software applications. So that's why uh we are designing and of course we need your help as well. Okay. Uh because we need to churn the the data but it must come from okay because what is important here is the agent conversation. It has to fulfill the types of interview session. Okay.
friendly quote unquote and having them to to share their experiences as derived from their background and and profile.
Okay. But of course we need help okay in terms of securing uh the opinion okay because we do not want it to be abused okay because right now we have many people preparing speech that they need a quick research data they couldn't get it from the open data or the open science platform so another way is to use AI unodudited one to steal that data so that is the challenge right now that we are drafting on paper okay to make sure but uh of course uh other than that kind of data okay is a different type of profiling okay uh but it's also talk about you know what stage they are okay it's not the mamers or the mac system is not like the game of snake and leather so that means when you throw the dice you know and then after that you're beaten wisely and then you go down to the lower level.
It's not like that. Okay. Uh the market research is that it's more of a reminder. Okay. So that's why in the case of the we use that uh where we make sure that we are on the paradigm faith and then when we have the what's prophet said so that is the highest level in that in that m so we refer uh to that so yes we would like to have data at every level okay can be attempted before as you know a diary l a diary l okay but unfortunately uh people uh you know are very described of diary because the diary always mean personal so we need to come up with a different name I hope I answer your question thank you >> right thank you very much for the questions maybe I can read a question from YouTube this one comes from Mr. Fendi representative from so the question how are the concepts of wisdom and truth written mantic operationalized in a real AI system including who defines them how they are trained and how they are audited >> yeah it's very clear it's quite uh you know very short but yet many variables there. So okay uh for the truth and the wisdom okay so first we go what we what we have in agreement yeah common agreement with all journal editors okay and publishers and all databases that mean it has to be quality work okay so okay we are focused not on the index only but also the non index okay so here okay if let's say For example, randomly, okay, referring to the general articles first index and learning text is that when we are able when wise is able to read the key words, okay, and then know the content.
So, it is excellent because the title has already been reviewed by the reviewers. Okay. So if the keywords can be read okay and then the uh content is being determined uh then we take that as the truth okay that means the keywords really represent the words okay because we based on the assumption that the reviewer has done their their job okay but of course there are issues so that's why some papers are retracted retracted by the journal editors Okay. So the next one okay on the wisdom side. Okay. So normally okay we have that was to go into the the discussions. Okay. And the and the contributions. So number one is maha to the audit. Okay. Which part of it of the research is the master. So as you know the journal is always in a structured form. Okay. So now you are writing from that other than the journal uh articles you also go for the for the websites. Okay. So that means if there is something wrong okay with the website then we definitely have to reject uh that particular uh results okay and then sometimes okay so it keep on popping up several times even in Google right so therefore we just take take once okay we are not going to promote that particular page the next page and and so on just the main the main page but our analysis is on the other pages. As for the wisdom, okay, other than the the benefit to the society, okay, you also uh go towards the databases that offer the reviewers comment. Okay, so you will see okay what are the significance okay uh of that particular research within the field okay and also to the to the society. Normally they use the word practical contribution. So if you look at many items in emerald they always have that extension >> okay with the website I will touch it and then of course on the YouTube etc. So we provide the uh producer or the provider of that particular video uh etc. So it belongs to okay so if let's say it has been shared as a viral so we don't take it in because we are yet to develop the information dissemination model okay so that's the one that we also have our intellectual uh property okay for the scholars okay for the scholars we have two ways the wisdom of the scholars the wisdom of the public okay you have the taxonomy coming from the experts we have the foxonomy coming from the public. So there are some words from the world of academia that is not favorable to the public. So this is where it will appear in the foxy. Okay.
So for example the Allah. Okay. So the taxonomy said this but the foxomy it is very sensitive. Okay. So therefore we capture that as well. So this is the wisdom of the scholars and the wisdom of the public. We have a dashboard. Okay.
Okay. So in that dashboard anyone okay can just submit a link and then after that it will process via an AI uh tools okay technology but of course it's not that intelligent as we expected to happen and then we have it match with the with the scholars. So normally the most popular one is something to do with and also with dua you know. So this is the one that we are catching now. And of course this is a local M. So we have a lot of we need a lot of improvement to to catch up. But when it comes to AI is everybody's mind now. We are all in the same line and because AI is not that intelligent as it appears. That's my my comments.
>> All right. Thank you very much.
Hopefully Mr. I can be clear with her answer but if not maybe Mr. can always communicate with profina. No problem.
All right. Uh thank you to everyone for the thoughtful questions and thank you once again to our speaker for the valable responses.
Ladies and gentlemen, we shall now proceed to a very special segment, the official launching of Vice.
To officiate the launching, may I respectfully invite Professor Dr. Dr. Professor as Dr. Professor Dr. Assistant Professor Dr. by our distinguished speaker professor Dr. Oman to kindly proceed uh to the center of this room for the launching ceremony.
A special note was a search engine application that can help users find authenticated Islamic content on the internet and based triggers and malnic systemic un search engine. The was matic search engine won several awards like mte gold medal and pack special.
Ladies and gentlemen, we now invite our honored guest to officiate the launching of Finding the right places in chosen just match keyword. We understand your intent.
Take it with me.
Complex through our dynamic field system that learns from you. Separate piece of feedback engine for system health.
The future of intelligent knowledge discovery. Exploring launching. Congratulations on this significant.
May I invite our honor guest to remain at the centers of this room to appreciate the talks to the will now proceed to the traditional ceremony symbolizing gratitude and celebration for this unique virtue.
Thank you to our distinguished guest.
As a token of sincere appreciation, may I invite Professor Amari as Dr. Tuhammed to present the token appreciation to Professor Dr. Thank you. You may go back to your seat.
All right. Thank you, ladies and gentlemen. I now invite everyone to rise and uh anything I am Let's wait in the future.
Share wisdom to the spirit of his father.
Revelation accepting faith we will fulfill.
SP.
together.
See you soon.
Ladies and gentlemen, please be seated.
With that, we have come to the end of the formal program. On behalf of the organizing committee, I would like to express our heart appreciation to our distinguished speaker, honored guest, participants, and everyone who has contributed to the success of this event. We would also like to invite all guests to visit the extension counter featuring the achievements, contributions and academic journey of our distinguished speaker professor.
It is located uh uh at outside of this room and also in the general office of Gary. Before we proceed to the refreshments and networking session, we will have a photo session taking outside this room. So may I kindly invite all guests to accordingly.
Thank you very much.
continue.
Nobody off.
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