- 3 months ago
- #agendaawani
Is Malaysia ready to build a strong local AI ecosystem? Tune in at 9PM as we break down the policies that matter. #AgendaAWANI
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03:08Kelebarannya adalah satu, menggunakan teknologi AI yang mana satu.
03:13Itu yang pertama.
03:14Yang keduanya, bagaimana nak assess pelajar ni.
03:17Memang kita boleh guna AI untuk buat macam assignment kecepat-cepat.
03:20Nak buat nota, nak buat flashcard, apa semua.
03:22Tapi when it comes to assignment, pelajar-pelajar ni, kita lebih kreatif.
03:26Kami dipandai ni selalu hari-hari pembuka sekolah buat program sana sini.
03:29Bila kita interaksi dengan pelajar, pelajar-pelajar ni, use case dia paling utama,
03:34dia guna jen AI untuk benda-benda simple, tetapi mereka guna untuk menipu dalam assignment.
03:39Jadi patut buat essay sendiri, dia buat dengan tu.
03:41Patut buat exam sendiri, dia buat tu.
03:43Dengan-dengan AI.
03:44So, antara cabaran ini di tangan ni adalah ada pendidik-pendidik yang jadi lebih kreatif lah.
03:50Dan benda ni makin meluas.
03:52So, caranya, satu, kita memang susah nak halang cara penggunaan AI.
03:55Tapi pendidik lebih kreatif sekarang.
03:57Contoh, exam tak dibuat dalam komputer semata-mata.
04:00Walaupun di sekolah tu ada iPad, ada komputer, tapi buat di atas kertas.
04:04Semua elakkan pendidik.
04:05Yang kedua, contoh lain.
04:07Back to basic.
04:08Back to basic.
04:08Yang kedua, essay bila di-submit dengan editing history.
04:12So, cikgu boleh tengok dia type ketap, pukul berapa, apa-apa.
04:14Oh, okay.
04:15Bukan sahaja dengan, okay, submit satu doki, PDF, setelah.
04:17So, maksudnya kalau kita nampak dalam editing history tu copy and paste.
04:21Ha, paste lah.
04:21Betul.
04:22Daripada tak ada, tiba-tiba satu saat lepas tu ada semua.
04:24Alright.
04:24And then another way is that, yang lebih penting ialah dia ambil pelajar tu bagi assignment
04:31dan force student tu untuk reflect dari diri sendiri.
04:35Kemudian boleh present dalam kelas.
04:37Yes, student tu beri masa untuk prepare dulu.
04:39Gunalah apa-apa tool JDI ke apa nak prepare, nak tulis.
04:41Tapi kena ada kebolehan untuk present dalam bentuk conversation, dalam bentuk debate.
04:46Defend dia punya idea dan topik, nak test pemahaman dia.
04:49So, apa itu apa yang kita nampak, pendipidik dah mula buat untuk menangani penggunaan AI yang berleluasa tembang pelajar.
04:57Maksudnya, cara kita belajar maupun di sekolah pun harus berubah dah.
05:02Ya, betul.
05:03Kalau mungkin sekarang ini, kelas, assignment, peperiksaan, kemudian dia dinilai sepanjang persekolahan
05:13dan kemudian dia ada exam, SPM, lepas tu STPM ni sebagainya.
05:19Itu juga harus kita tengok macam mana nak reform dia.
05:23Betul.
05:24Itulah, daripada peringkat peringkat pun, mereka dah galakkan pendidik bukan sahaja bagi one-way combination
05:31lepas tu access tu dah berdasarkan output sahaja.
05:33Dia juga adalah berdasarkan proses tu juga.
05:36Macam mana pelajar berinteraksi, macam mana berkenaan dengan sasyah, dengan adab mereka, value-value yang mereka ada.
05:42kemudian, bila cara mereka mengajar pun, kemudian pendidikan Malaysia dah cakap.
05:50Pendidik-pendidik, role mereka makin berubah menjadi facilitator.
05:53Bukan sahaja jadi pusat yang tahu semua benda yang one-way communication,
05:57sedangkan pelajar dengan cara AI boleh buat lagi cepat kan.
06:02So, empower pelajar untuk belajar dengan pelbagai cara kalau mereka advance,
06:07tetapi pendidik ni lebih kepada facilitator untuk memudah cara, untuk control, untuk guide dan sebagainya.
06:12dan mungkin soalan tak akhir untuk blog ni ya.
06:18Secara ringkas ya, apa langkah pertama yang harus ibu bapa dan guru ambil?
06:28Okay. Alright.
06:30Ibu bapa dan guru ada yang concern, yang tak nak langsung pelajar ni terderang AI.
06:33kata, oh, AI ni bahaya, AI ni menyesatkan bias, misinformation, nanti tak berfikir sendiri apa semua.
06:39So, bagi saya, kalau kita refuse nak ajar tentang AI, menedakkan AI, itu macam refuse nak ajar tentang calculator pada mid-20th century dulu.
06:47Memang foolish, memang short-sighted.
06:49So, memang kita tak boleh elak ada dengan AI, dalam dunia sebenar AI akan merata clear kita,
06:54dia akan jadi macam electric yang ada mana-mana.
06:56Sekarang ni, kita AI summit, akan datang, kita tak pernah dengar apa electric summit sama-sama, sebab dia ada clear ni kita.
07:01So, apa yang ibu bapa dan cikgu boleh buat, ialah menedakkan pelajar dalam situasi yang terkawal,
07:08memberi akses kepada device dan data, tetapi memantau bagaimana ia digunakan.
07:14Sekarang ni, ada banyak AI tool dengan parent punya control yang boleh memantau pelajar-pelajar ni.
07:19So, itu cara terbaik, walaupun pelajar, ibu bapa ataupun pendidik ni tersebut, tak tahu sangat, tapi itu cara terbaik.
07:26Okay. Dan adakah, ada langkah yang jangka masa pendek untuk bantu pendidik?
07:32Ni, bukan pendidik di guru-guru, di sekolah sahaja, tapi lecturers di universiti dan sebagainya,
07:39langkah mudah untuk mereka, mudah untuk mengubah cara, terutama sekali penggeredan.
07:46Kerana benda-benda ni yang sangat dikhawatiri sekarang.
07:49Okay, okay.
07:49Oleh mereka.
07:50Okay. So, sekarang Alhamdulillah, walaupun banyak tool dikeluarkan untuk bantu pelajar untuk macam buat kerja lagi cepat lah, apa semualah.
07:57In a way, shortcut kan.
07:58As a pendidik, kita kena ajar pelajar, bukan gunakan sebagai shortcut, tapi guna sebagai tool.
08:05So, sebagai pendidik pun, sebenarnya ada banyak tool yang dikeluarkan juga pada masa yang sama, yang bantu cikgu.
08:11Macam kami, dia pada pandai, kita bukan sahaja pandai untuk pelajar.
08:14Kita ada pandai teacher juga untuk bantu guru dari segi AI dan sebagainya.
08:17So, sebagai seorang pendidik, kita pun kena jadi resourceful untuk explore tool-tool yang ada, yang dikeluarkan hampir setiap bulan ada tool-tool baru yang bantu cikgu.
08:25So, even nak detect whether or not assignment itu digunakan di AI ke tidak, whether or not student follow the right rubrik ke tidak dan sebagainya.
08:34So, ada banyak tool di sana.
08:37Of course, pandai teacher salah satunya untuk bantu cikgu-cikgu sekolah.
08:39Tapi, pendidik apa lapisan masyarakat pun, di pingkat mana-mana pun, ada banyak tool di luar sana yang boleh membantu guru-guru, pendidik untuk mengajar dengan way efficient dengan syarat.
08:50Dengan syarat, berani untuk explore, untuk cuba benda baru.
08:54Terima kasih banyak, Surah Khairul Anwar, CEO Pandai, salah satu start-up di Malaysia ini yang mengaplikasikan AI dalam ekosistem produk.
09:05Sudah lima tahun di pasaran.
09:08Satu juta pelajar menggunakan ini.
09:10Okey, kita akan berhenti rehat untuk kali pertama, kali kedua ini.
09:13Apabila kita balik nanti, kita akan bersama dengan ketemu yang lain untuk bercakap mengenai hal lain, tapi masih lebih AI.
09:20Jadi, kita akan berhenti ke mana.
09:36Selamat datang kembali ke Agenda Wani.
09:38Kita masih di atas panggilan dari AC&AI Malaysia Summit.
09:41Dan di sini bersama saya adalah CEO dari Talent Corp, En. Siva Kumaran Narayan.
09:47Terima kasih kerana menghabiskan masa dengan kami hari ini.
09:49Terima kasih kerana menghabiskan kami.
09:50Saya sangat gembira bahawa saya dapat melihat anda hari ini kerana ada banyak berbicara tentang talent dan keadaan AI kita, dan keadaan AI kita.
10:01Saya rasa ini adalah keadaan yang kita perlu berfokus pada.
10:04Adakah anda setuju dengan saya, Surah?
10:05Ya.
10:05Terima kasih kerana menghabiskan keadaan AI.
10:11Saya rasa ketika kita berbicara tentang keadaan AI, kita juga perlu memastikan keadaan dari keadaan masyarakat dari Malaysia.
10:19Jadi, pertama, kita perlu melihat keadaan keadaan digital.
10:24Dan saya rasa di dalam kementerian digital, kementerian digital pasti melihat keadaan, tapi kita perlu memastikan keadaan yang begitu cepat.
10:30Terima kasih kerana menghabiskan AI, jika kita berbicara dengan seseorang di Terengganu, Kedau, Penlej, yang berada di sekitar 60 atau 70 tahun.
10:40Adakah mereka menggunakan AI untuk aktivitas perjalanan mereka?
10:44Kerana AI akan membantu anda membuat keputusan, membaiki keadaan, membaiki keadaan, dan juga membantu anda memberikan informasi terhadap apa yang anda ingin tahu.
10:52Dan ia akan lebih cepat.
10:53Dan, of course, anda boleh menggunakan keadaan untuk keputusan.
10:55The challenge we have is, first of all, infrastructure.
10:59Do we have enough 5G rolled out to all these areas to ensure people can have faster access?
11:06Do we have infrastructure tools for the individuals, for them to access AI?
11:12Do we have given them necessary knowledge about how to use AI?
11:18So these are things I think we need to actually address.
11:21Jika kita tidak menentangnya, kita akan menjadi lagu dan tidak akan mempunyai produktivitas.
11:28Tidak akan mempunyai sesuatu untuk berubah dengan cepat.
11:31Mari kita menyebabkan keadaan kontekstual.
11:34Kita juga perlu melihat ruang sekolah.
11:37Dalam ruang sekolah sekolah sekolah sekolah,
11:43Pada hari ini, anak-anak yang mempunyai penggunaan laptop atau internet,
11:50mereka mempunyai penggunaan kerana menggunakan AI untuk aktiviti sekolah sekolah sekolah.
11:55Apabila mereka datang ke rumah, untuk kerja sekolah sekolah sekolah.
11:58Pada hari ini, anak-anak tahu bagaimana menggunakan penggunaan.
12:01Dan mereka mendapatkan informasi dan dapat menjawab pertanyaan.
12:05Tapi bagaimana dengan anak-anak yang tidak mempunyai penggunaan?
12:08Yang tidak mempunyai penggunaan sekolah sekolah, laptop,
12:13atau bahkan infrastruktur tidak ada.
12:15Di mana mereka pergi?
12:16Bagaimana mereka mendapatkan pengetahuan?
12:18Ini penting.
12:19Kita perlu mempunyai penggunaan tersebut.
12:22Kenapa Telancorp, sebagai agensi, berhubungan tentang ini,
12:26adalah kerana mereka akan menjadi penggunaan kerjaan depan.
12:29Jika anda tidak menggunaan mereka di sana,
12:32anda tidak dapat mempunyai penggunaan kerjaan depan.
12:35yang menjadi pengetahuan AI dalam kerjaan depan.
12:40Jadi, masalah di sini adalah infrastruktur.
12:43Dan apakah kita telah mempunyai pengetahuan,
12:46atau mempunyai pengetahuan,
12:48untuk mempunyai pengetahuan,
12:51untuk mempunyai infrastruktur yang sama.
12:57Ya.
12:58Dan pengetahuan AI,
13:00AI bukan teknologi inovasi,
13:03yang hanya berguna untuk beberapa beberapa.
13:07Ya.
13:08AI adalah untuk semua orang.
13:09Dan idea adalah,
13:10untuk semua orang menggunakannya,
13:11kita harus mempunyai pengetahuan yang betul.
13:14Seperti semua orang mempunyai pengetahuan yang betul,
13:17dan mereka mempunyai pengetahuan internet.
13:20Kita juga harus mempunyai pengetahuan yang betul.
13:22untuk mempunyai pengetahuan AI.
13:23Jadi, AI adalah sebuah tool.
13:26Tapi, perkara yang paling penting adalah
13:28gunakan pengetahuan itu.
13:29Jadi, dalam dunia AI,
13:31kita mempunyai term yang disebut
13:33Prompting Engineers,
13:35atau Prompt Engineers.
13:36Kerana mereka tahu bagaimana mempunyai pengetahuan
13:39untuk mempunyai pengetahuan yang betul,
13:43dan pengetahuan yang betul,
13:44dari pengetahuan AI ini.
13:46Jika anda tidak tahu bagaimana mempunyai pengetahuan yang betul,
13:48anda akan mendapat jawaban yang betul,
13:50dan juga mengenai pengetahuan yang betul.
13:52Jadi, sangat penting
13:54kita perlu membunyai pengetahuan orang
13:56pada beberapa level
13:58bagaimana menggunakan
14:00Prompting yang betul,
14:01untuk membantu anda menjadi lebih berkembang
14:03dalam ruang yang betul.
14:05Saya mengerti anda menutupi
14:07masa depan kita,
14:09pelajaran sekarang,
14:11pelajaran sekarang.
14:13Tapi bagaimana dengan
14:14kerja kerja di Malaysia,
14:16di Malaysia,
14:18across all age groups,
14:19and across all background,
14:20what are the impediments
14:22that maybe hinders
14:24AI readiness among us?
14:26I think first,
14:27we must do a baseline stock take.
14:29So, AI within the sectors,
14:32let's break it down by sectors.
14:34So, as an industry,
14:35we have actually initiated a study,
14:38and we call it the
14:39Mai Mahe AI Impact Study.
14:41And it covers AI,
14:43it covers digital,
14:44it covers green economy.
14:46and we looked at impact of jobs
14:49and job roles
14:50in these sectors
14:51that we have initiated in.
14:53Today, we have covered 10 sectors,
14:55and for phase 2,
14:56right now,
14:57we got another 17,
14:59total will be 17 sectors,
15:01that means another 7 more
15:02that we are working on.
15:03Now, the important part of this is,
15:05we have then gone in
15:06to look at over 949 jobs, roles.
15:10Ah, alright.
15:11and actually asked,
15:13this particular job roles,
15:14how is AI impacting it?
15:16And we have that information today.
15:19And it's good
15:20because you can access
15:21our platform called
15:22mymahe.my
15:24or go down to Talentcorp
15:26and it will provide you
15:27the link to mymahe.
15:29And people can go in
15:30and put in their job role
15:31and immediately it will tell you
15:33how impacted you are
15:34and what are the new skills
15:35that you need to acquire
15:36to stay relevant
15:38in that particular workspace.
15:39and if it's really highly
15:41impacted job roles
15:43and you wish to get out
15:44of that particular sector
15:45and move to another sector,
15:47what are the new skill sets
15:48that you need to acquire
15:49and how do you pivot?
15:51So, all these information
15:52are readily available
15:53in that particular platform.
15:55But it's not enough
15:57just to have the information
15:58on the platform.
15:59What is more required is,
16:01how do we make sure
16:02that information always stays
16:03current and relevant?
16:04So, we've taken an initiative
16:06called the
16:07mymahe future skills talent
16:08and the future skills talent
16:09council.
16:10And the future skills talent
16:11council consists of industry
16:12leaders and supported
16:14by government agency
16:15and they convene to address
16:17only one subject
16:18which is talent.
16:19And they meet every quarter
16:20by sector to look into
16:22the talent demand
16:23versus the supply.
16:24And this helps in two ways.
16:26One, we know what are the job
16:28and job requirements are coming.
16:30We know which organisation
16:32and number of requirements are there.
16:34and this can be redirected
16:36to university students
16:37to ensure they get into
16:39that particular job roles
16:40more effectively.
16:41That's one.
16:42Second is, we are also looking
16:43to finishing those particular
16:44individuals with AI capabilities.
16:47Probably, prompt engineering
16:48is a fundamental now
16:50that you must have
16:51in your education system
16:53to ensure every student
16:54coming in,
16:55entering the workforce,
16:56they are fully productive.
16:57So, these are the interventions
16:58that we are working on
16:59at the moment.
17:00I'm very happy and glad
17:02to know that
17:03Talent Corp has
17:04taken it through
17:05on how we are
17:07navigating this transition.
17:09Now, I think the challenge
17:11falls into each individual
17:13and how we want to capture
17:15this moment to
17:16upskill and reskill ourselves.
17:18Yes.
17:19And there's a lot of opportunities
17:20to do that.
17:21Yes.
17:22There are.
17:23So, for a start,
17:24I think for them to understand
17:25what they need to upskill
17:26and reskill,
17:27they need to know
17:28where they are
17:29and where they want to go to.
17:30So...
17:31And the assessment
17:32provided by
17:33Yeah, so our platform
17:34MyMahe actually has
17:35that assessment
17:36and you can actually assess that.
17:37What we have done
17:38even further is,
17:39we've also gone on
17:40to have another assessment
17:41in that particular platform
17:43for organisation
17:44to look at their readiness.
17:45Right.
17:46So, how ready are you
17:47in AI adoption?
17:48So, they can actually
17:49do the assessment
17:50and they can find out
17:51where they are
17:52and what needs to be done.
17:54To stay competitive.
17:55Yeah.
17:56Thank you so much,
17:57Mr Siva,
17:58having this conversation
17:59with us.
18:00Thank you for sharing this insight
18:01and hopefully,
18:02we could meet up again soon
18:04and elaborate this further.
18:05Yes.
18:06Thank you so much.
18:07Thank you so much.
18:08We're going to take
18:09the short break
18:10and when we come back,
18:11we will talk about AI
18:12but from the policy standpoint,
18:14don't go away.
18:28we are going to take
18:29a few minutes.
18:30Hi.
18:31This is Chepizan Jowari.
18:32You're still with me
18:33in Nagenda Wani.
18:34In conjunction
18:35of the ASEAN AI
18:36Summit,
18:37ASEAN AI-Malaysia Summit
18:38and today here with me now
18:40is Richard Sterling.
18:41He's the CEO of Oxford Insights.
18:44Well,
18:45he's been,
18:46you've been sharing your insights here
18:50in this event
18:51about governance
18:52and the role of government
18:54in governing AI for instance
18:58and the challenge now we have
19:00in terms of the industry
19:01as mentioned it earlier
19:03is that AI as technology
19:07grows too rapid.
19:09Right?
19:10What we thought was imagination
19:14now is reality
19:16and you also mentioned
19:17about guardrails.
19:18Now,
19:19what are the role of government
19:20in establishing
19:21certain guardrails
19:23so that we could create
19:25a more safe AI environment
19:27for all?
19:29So,
19:30government has a role
19:31to preserve society
19:33and put in place
19:35the rules
19:36and the expectations
19:38to make sure
19:39that things coming into the society
19:41are respected.
19:44So,
19:45with AI,
19:46as you say,
19:47it's changing everything
19:49incredibly rapidly
19:50and government needs to take action
19:53to make sure
19:55that when AI is coming in
19:56that we get the benefits,
19:59we get the productivity improvements,
20:01the better quality of service
20:03but we minimize some of those downsides.
20:05so we look at how people can find new jobs
20:10if there's a job displacement
20:13and we also make sure that the AI systems perform well
20:17and provide the right answers for people.
20:22I mean,
20:23I still remember
20:24in the early 90s
20:27when we were establishing
20:28the World Wide Web
20:29maybe 30,
20:30some 30 years ago,
20:3235 years ago,
20:34there was a clear voice
20:38or rather pressure
20:40to government
20:41not to interfere.
20:43but in this case,
20:46it's a bit different.
20:47Yeah.
20:48Honestly,
20:49I think we're learning the lesson
20:50from that 30 years ago.
20:51Like,
20:52I was one of those voices
20:5330 years ago saying
20:54do not count.
20:55Exactly.
20:56Like,
20:57it's fine,
20:58it's this utopia.
20:59It's self-regulation.
21:00Yeah,
21:01exactly.
21:02And I think looking at the web today
21:03you can see where that's got us,
21:04right?
21:05Like,
21:06naive people like me
21:07when I was much younger
21:08thought that the web was a utopia.
21:11It isn't a utopia.
21:12Right.
21:13Right?
21:14What we're seeing
21:15is we're seeing a technology rise
21:17actually faster than the web does.
21:20And we should take the opportunity
21:23to make sure that we shape it as we go.
21:25Now,
21:26this is hard for governments
21:27because governments like regulating things
21:28that have been established
21:29for like 5,
21:3010,
21:3115 years.
21:32Right.
21:33Governments move really slowly
21:34and really thoroughly.
21:35Yes,
21:36that's the issue.
21:37I don't want to say governments are slow,
21:42but you just said it.
21:45Again,
21:46how are we going to make it flexible
21:48or rather
21:50how we're going to ensure
21:52government act
21:54proactively
21:55ahead of time?
21:57Yeah.
21:58I think that's the challenging part.
21:59This is the,
22:00as someone who's a bit of a governance nerd
22:02like me,
22:03this is the exciting thing.
22:04How do you,
22:05exactly,
22:06how do you do that,
22:07that challenge of like regulate well
22:09on a fast moving industry
22:11when government likes to be very thorough.
22:13Right.
22:14And there are a few techniques
22:15that can work.
22:16Uh,
22:17both,
22:18a couple that I mentioned in my talk.
22:19Uh,
22:20one is,
22:21uh,
22:22in Estonia,
22:23a practice of like almost government being the pioneers.
22:26Yeah.
22:27Yeah.
22:28Yeah.
22:29So they are actively push government ministries to be the first to adopt technology.
22:31All right.
22:32Because what that means is it means that government make the mistakes first.
22:34All right.
22:35Right.
22:36But it also means that the capability in,
22:37in house.
22:38Right.
22:39Shoots up.
22:40Right.
22:41Because civil servants have first hand experience.
22:42Right.
22:43Another approach,
22:44uh,
22:45which is,
22:46uh,
22:47the approach in Singapore,
22:48where they have,
22:49uh,
22:50sandboxes and test beds.
22:51Right.
22:52based environment,
22:53where you,
22:54uh,
22:55look,
22:56are able to see the innovation coming through.
22:58As a regulator,
22:59you're able to look at it and understand how it works,
23:02and then do smart regulation in a timely fashion.
23:06Uh,
23:07because everybody knows that it's like this innovation space.
23:10So,
23:11so that's what I wanted to ask you next,
23:12uh,
23:13the sandboxing and,
23:14uh,
23:15sandbox regulation.
23:16Where are we now?
23:17It comes to sandbox regulation,
23:19uh,
23:20particularly in Malaysia and ASEAN.
23:23Uh,
23:24and how we're going to ensure that the,
23:26uh,
23:27regulation established,
23:29uh,
23:30within the sandbox space is not to limit,
23:34but rather to support the growth.
23:37Yeah.
23:38Yeah.
23:39So,
23:40uh,
23:41sandboxing is something that,
23:42uh,
23:43works really well in ASEAN.
23:44And,
23:45uh,
23:46you know,
23:47you asked about Malaysia,
23:48like Malaysia has done this in fintech.
23:49and,
23:50uh,
23:51you can see some of the fintech successes that Malaysia has,
23:53because of them coming up through this sandboxing environment.
23:56Yeah.
23:57And you can see how the regulator has been able to do smart regulation of the fintech sector,
24:01because they've been able to see it working in practice.
24:03Right.
24:04Now,
24:05my encouragement is to,
24:06uh,
24:07build on that success.
24:08And,
24:09think about how you do this for AI in a number of different sectors.
24:13Mm-hmm.
24:14Because,
24:15you know,
24:16just in your industry,
24:17right?
24:18Like,
24:19AI is transforming the world of communications.
24:20Yeah.
24:21and,
24:22uh,
24:23that means that AI is being used in your industry on the sort of industry side.
24:26Right.
24:27But it should also be used on the regulator side.
24:28Mm-hmm.
24:29Mm-hmm.
24:30Right.
24:31And,
24:32uh,
24:33sort of squaring that,
24:34that circle,
24:35and get the innovation through on both sides,
24:36and the challenge that government faces today.
24:37And,
24:38sandboxes can really help.
24:39The regulation interoperable,
24:42interoperable,
24:43operable,
24:44inter,
24:45interoperability.
24:46Yes.
24:47Uh,
24:49across ASEAN.
24:50Mm-hmm.
24:51Is that something that is easy to do?
24:54Or,
24:55something that is,
24:56you know,
24:57within our,
24:58just within our imagination?
25:00Uh,
25:01I don't think it's within our imagination.
25:03But,
25:04we,
25:05conversation about the,
25:06the need for speed,
25:07because the industry is moving so fast.
25:09Mm-hmm.
25:10And,
25:11uh,
25:12like,
25:13it's a,
25:14sort of,
25:15truism that,
25:16like,
25:17if you want to move fast,
25:18you go alone,
25:19and if you want to move smart,
25:20you go together.
25:21Mm-hmm.
25:22And that's, I think,
25:23what we,
25:24we need to,
25:25uh, work on.
25:26Like, so...
25:27To find the,
25:28the sweet spot.
25:29To find that sweet spot.
25:30Mm-hmm.
25:31And my,
25:32uh,
25:33my approach would be to,
25:34uh,
25:35what the,
25:36the right solution is,
25:37say for Malaysia.
25:38Mm-hmm.
25:39And then go talk to your peers.
25:40At forums like this one.
25:41Uh,
25:42like,
25:43downstairs,
25:44there is the ASEAN,
25:45uh,
25:46AI policy forum.
25:47Mm-hmm.
25:48Use those forums to then work out,
25:49like,
25:50the points of commonality.
25:51Because I bet you that the answer here
25:52is gonna be the answer next door.
25:53Right.
25:54And then you can very quickly ratify
25:55and create a,
25:56uh,
25:57regional standard,
25:58and you get the advantage of having
25:59the whole economic block.
26:00Mm-hmm.
26:01All right.
26:02Last question.
26:03What would you foresee
26:04in the next five years?
26:05Oh,
26:06that's so hard,
26:07right?
26:08The industry,
26:09the industry,
26:10the industry didn't even exist.
26:11Like,
26:12we didn't have LLMs five years ago.
26:13So,
26:14projecting five years into the future.
26:15Uh,
26:16like,
26:17we've got really interesting developments
26:18on,
26:19um,
26:20computer vision.
26:21Right.
26:22So,
26:23at the moment,
26:24language models,
26:25very,
26:26very high performing,
26:27uh,
26:28starting to get towards,
26:29uh,
26:30human level intelligence,
26:31outperforming in some fields.
26:32You add into that computer vision,
26:34really interesting.
26:35You've got massive advances in robotics.
26:37Again,
26:38uh,
26:39the current generation of AI,
26:41and,
26:42uh,
26:43advanced robotics,
26:44really interesting.
26:45uh,
26:46combine that with,
26:47uh,
26:483D vision,
26:49and some of the interpretation.
26:50That's really,
26:51like,
26:52you can start seeing how that's going to transform industries.
26:54Um,
26:55precisely when that happens,
26:56and the killer question,
26:57like,
26:58when are we going to get AGI?
26:59I don't know,
27:00and I'm not going to pin myself down to a five year time horizon.
27:02Uh,
27:03I think there's some new maths that needs to be done first before we get there.
27:06But,
27:07well,
27:08one thing for sure is that,
27:09uh,
27:10governance experts,
27:11like,
27:12you're going to be very,
27:13very busy in the next five years.
27:14I think,
27:15I think,
27:16I think I'm right.
27:17Maybe next,
27:18next time is good.
27:19Maybe,
27:20hopefully next time will not be this easy to get you.
27:23Because you'll be so busy,
27:25uh,
27:26addressing,
27:27uh,
27:28regulation and governance issues across the world,
27:29especially in the,
27:30in the,
27:31in the domain of AI.
27:32Thank you so much,
27:33uh,
27:34Richard,
27:35for spending time with us today,
27:36uh,
27:37in Agenda Awani,
27:38and sharing your insights,
27:39uh,
27:40with us,
27:41on ASEAN regulation.
27:42Alright,
27:43that's all the time we have for Agenda Awani,
27:44uh,
27:45today.
27:46And, uh,
27:47we recorded this session,
27:48uh,
27:49during,
27:50uh,
27:51in conjunction of the ASEAN,
27:52uh,
27:53uh,
27:54summit,
27:55uh,
27:56or the AI ASEAN Summit Malaysia,
27:57for,
27:58and, uh,
27:59that's all the time we have.
28:00I'll see you again soon.
28:01Bye bye.
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