67 | Lin Tar Kuan and Eric Tse on AI Career Skills

How do professionals stay relevant in an AI-driven workplace? In this episode of The AI Marketers Playbook, host Audrey Chia speaks with Eric Tse, Chief Product Officer at JobsTaylor, and Lin Tar Kuan, clarity strategist and transformational advisor. Together, they explore how human intelligence complements artificial intelligence and why clarity, curiosity and ownership are essential skills in today’s evolving workforce. The conversation covers real-world challenges companies face adopting AI, how individuals can become intentional AI users, and why leaders must align values before implementing new tools. 

Tune in to learn how organizations and professionals can confidently navigate AI transformation without losing the human edge. 

Learn more about Human Intelligence in the Age of AI here: https://www.sginnovate.com/event/human-intelligence-age-ai 

Join my weekly Newsletter: https://lp.closewithcopy.co/welcome 

Transcript

Audrey Chua 0:00

Hello and welcome back to the AI Marketers Playbook, where we cover actionable frameworks to help you leverage AI and marketing strategies in your business. I am Audrey Chair, your host, and today's episode is a slightly different but very timely conversation because we are not just exploring how organizations are adopting ai, but what it actually takes for people. Two, work well with ai. Joining me today are not one but two guests bringing complimentary perspectives to this topic. So we have Eric, chief Product Officer of Jobs, Taylor, and AI career advisory platform, and Lynn Tarquin, a clarity strategist and transformational advisor. Now both of them are from the Asia AI Association and are huge advocates of combining human intelligence with artificial intelligence. Super excited to have you both on the show. Welcome.

Eric 0:49

Thank you, Audrey. Yeah.

Audrey Chua 0:52

Awesome. So first of all, Eric, maybe you can let us know a bit what is the Asia AI Association?

Eric 0:58

Sure, yeah. As you mentioned, uh, I'm from job scale doing the product side, and after that I also do some marketing. Of our platform. And, uh, also thank you for your workshop. It's very insightful. I learned a lot. And, uh, after I joined the HA AI Association, I met a lot of, uh, like-minded people to how to utilize AI better for our work for life. So, uh, what actually HA AI association is, under Registry of societies IOS in Singapore. And then we also have other chapters in different countries like Malaysia, Philippines, uh, UAE, et cetera. So our aim is to advance the conversation around artificial intelligence, AI and human intelligence, ai especially why the feature of AI adaptation. Not only on better tools, but also on stronger human capabilities such as judgment, clarity, adaptability, and wise decision making. So we run, uh, different networking events, industry insights, sharing workshops, uh, skill development events, and we also have publications for our members. So, um, later on in May, we have our Friendship, AI, and AI event. So this is a platform exploring how founders, uh, leaders and professionals can harness AI while strengthening the human quality, essential for leadership, uh, for innovation, trust, and sustainable growth. So together with me today, Lynn, uh, she's a master trainer and coach, a co-creator of the HI program from a true mind. So, uh, she's the one running the I Program can explain more actually, what is a HI, human intelligence. So maybe over to you Lynn.

Lynn 2:43

Uh, thank you Eric. Uh, thank you Audrey also for having asked, and I'm honored today to actually share what I is. I'm one of the founding members of Asia Association, and as we progress through and as we talk to a lot of, uh, individuals from the AI industry. We, we realized there's one gap there where humans part that the, the human factor, it's diluting. A lot of us actually then lean on to the technology, what AI can do, this and that. But then what about the human aspect? The human aspect has diluted. That brings out a lot of confusion, a lot of, um, people feeling uneasy with the development of ai. So then we. Uh, brainstorm. And from my specialty, um, I actually realized that we can actually contribute and bring values from the human side that then, human intelligence was born. So human intelligence in the way that I work with isn't just about ai. I mean, IQ isn't just about emotional intelligence, you know, it's the full capacity of human, being able to perceive clearly. To think independently, to feel accurately and to act with intention. So it is actually the ability to be very present in what is actually happening. Okay? So in any situation, so in a situation of your work, in the relationship, even with ourselves, so then we can actually then respond from a place. Um, rather than, you know, from all the noise. So we can cut through that and with the human aspect, we can actually then work towards, uh, find true clarity, making the wise decision while utilizing, uh, the AI tools that it's already, you know, so much around us to be used and so great to have it around with. Yeah.

Audrey Chua 4:26

Yeah, definitely. I think you mentioned a lot of great points, right? A lot of us focus on the new tools, new workflows, but we forget maybe the skill sets or even the mindset needed to adapt with the change. Maybe for the audience who are listening, right. Lynn, what is your background and how do you end up with doing this?

Lynn 4:42

Well, I'm very passionate, uh, as a human being to learn about other human beings, so I, I am in a personal development space. I actually came from a very niche, background where I work in a corporate setting doing corporate insolvency and all that, which requires a lot of things like, you know, retrenchment, closing down companies, selling all assets, all the sunset part of it. So it, it really then me. I don't want to be ending something. I want to be bringing light into it. Is this just life? You know? So when that happens and going through my own journey, I start to explore in the human, the personal development space and in the personal development space. I see. A lot of lights. You know, people always say there's lights at the end of the tunnel, but I see lights a lot along the tunnel, and it's not just a tunnel, it's a space that we can actually walk through. So when I journey into it, I find the passion and I find the way to be able to give back through my, coaching career and through training because this world needs more, informed and trained coaches. So I'm actually able to certify and train, uh, licensed coaches. I really hope that we can actually work together and, bring more clarity to every individuals that we can actually meet, at our best, uh, ability. Okay.

Audrey Chua 6:01

Definitely. I think a lot of times like this journey is actually very personal for many people. I've heard from many of my friends who have actually been replaced by ai. Um, for example, friends who are coders, right? Their company just retrenched half of the staff.'cause they don't actually need coders to their capacity anymore. And for them, they have to figure out what is that next move? Where do they go? How do they adopt? And how do they learn new skills to navigate? So maybe a question for you, Eric. So Eric, I know you're also doing a lot of job matching, um, helping people to search for new AI talents. Now. What do you think are some of the challenges the companies face and the challenges the individuals face in this new world?

Eric 6:39

So, uh, thanks. This is a very tough question for everyone actually. Uh, for now I see a lot of corporate day. Heard about a lot of stuff on AI and then they would like to try a lot of things. And then it's kind of, they put a lot of effort, budget, and time in, but they don't see the result over the one or two year. as you also mentioned, there are a lot of companies they, uh, try a lot of. Programmers, cookers. Same as a lot of my friends, my background, also computer science. but I didn't do cooking for some time. then, but interestingly, after they got retrenched, after three months, a holiday, they come back and suddenly the old company asked them to go back. Why?'cause a lot of corporate, they think, for example, white cooking or using, uh, the open clock can do. Everything, but actually it's not. So there are a lot of internal workflow they need to align on before they do any transformation, whether it is digital transformation, ai, whatever, but they didn't do that before the, before they start doing, understand their workflow, have all those consideration of how to build launch to fit their business. They already find their colleagues. After a few months, they find out, okay, so, uh, AI is good, but it's not perfect. They still need human inputs, to work together to make it a good process, good progress, and then launch and monitor. That's why they hire back the engineers with higher budgets. So, that's we see a lot in our industry. So that's for the corporate part. and therefore individual. I see that previously, after church GBT is out, there are a lot of tools. People start to use ai, especially when the company offer them the tools, but they are not using that for their work. They use it for personal use, like, planning a trip or any, uh, uh, homework assistant for the students or for the kids, but. for them, for their job security. Before that, they didn't really feel the change, but after that they feel the change. They panic and then they get into a bit resistant. Some of them they would like to try more, like try on the open call, but then find out there are a lot of credits burn. That means their budget, but then some of them still a bit reluctant now, to learn a lot of stuff'cause it's too many hypes, too many information going around.

Audrey Chua 9:06

Yes. I think the information overwhelm is something that a lot of people are struggling with, especially since there are new updates every single day, and it's almost like you want to catch up, but even before you master one tool, there is new information and new tools out there. So maybe a question back to you, Lynn, as a human, how would you advise someone to navigate this change?

Lynn 9:27

I think as a human, for me, I always tell, um. My friends, even my clients, my coachee, I tell them that you need to have clarity on what you want. So you need to know what is it that you're focusing right now. Okay? You can use AI for many areas of your life. You can use AI for your personal, for your relationship, for your work, but in the work setting, you want to be able to have clarity on the outcome that you wanna achieve. So then you will become an intentional user. An intentional user is somebody who will actually pretest and then, uh, use AI to actually, Pressure test to expand and to challenge their own thinking. So I have a friend, right? He wanted to write a book. He already know what is it that he wants to put in the book, okay? But then he needs to, uh, actually adjust the nuances and he actually needed to actually, make adjustment and find whether or not there's any copyright infringement in between as well. So what he does is that he has everything outlined. He has the framework and structure, so the video study where he wants to write, he actually went on Gemini to actually, you know, pressure test to go and argue to go and debate with Gemini and ask it to find. And then he actually used the other platform like, uh, chat g Pity to actually substantiate it and confirm with. With clot. So that's what he did. He used all this as a paid account, and this is what I call as a intentional use user. So for us to have clarity on what we want as an intentional user, then we won't be get, we won't get carried away. When I say get carried away, it means that we don't outsource our thinking to ai, give it to ai, let it prompt, and then get the information come back. And then that's where you realize that you are not taking the driver's seat, you're taking the backseat. So when taking a backseat, you'll always be driven. And that's where at a human side, is very danger, dangerous. I feel it's dangerous because then you will lose the con, um, confidence in yourself. You'll lose the kind of rapport with yourself'cause you have outsourced too many, uh, decision making, your thinking ability to ai. So that's what I think.

Audrey Chua 11:27

Definitely, um, what stood out to me was that term of outsourcing your thinking. Right? I think a lot of times when we have ai, then sometimes we just don't think as much. We just ask AI to come out with the end output. But I often find that even for me, when I'm doing my trainings, the best tool. Generate the best results with the right thinking. So without the thinking process, the tools can only give you V zero results. But with the thinking process, you can get it to your V 10, um, if you teach it how to think. So maybe another question for you, Lynn. Um, we talked a lot about maybe. Navigating it emotionally and and the mindset. But what are some practical things that people should be doing right in order to, to build the skill sets they need? Because if someone is a coder, for example, and he or she or they feel like, Hey, you know, coding is no longer as essential as before, what do they do? So what kind of advice would you give Lynn?

Lynn 12:23

Okay. you find that you are in the intersection between, uh, I'm, me being a coder, and then you, you realize then you'll be able to catch yourself that, I'm coming from the like mentality side and not the abundance mentality side. I always tell individuals when we start questioning our ability, you want to be able to tune it back. To the middle, which means to say every one of us already have the resources, okay? Every one of us actually have within ourselves the answers to our challenges, the answers to what is it that we find difficult to actually overcome. Even if we don't have the direct answers, we know where to find the resources. So when it comes to ai, if, let's say you don't want to talk to anyone, you, you, you don't know who to actually speak to, and you still need to deliver your work, you treat AI as a friend. AI has its own personality. Like Chad J pt, you can do research, okay? A Gemini tweak towards a little bit more of a human language clot. It's definitely the human side of it. So when you know a little bit about this personality, okay, you can go to this, uh, different personality of ai and then you can ask question and uh, be able to catch yourself. Bring in the self-awareness to allow yourself to, Just be curious and then ask questions and then explore from there. And allow yourself to always bring back yourself to the abundance mindset, right? What can I do moving forward? What's next? How best can I approach this? Instead of like, oh, I was a coder and then now I, I'm not sure how to do it. It just, it just doesn't brings you anywhere. But one way to actually do that as well is to bring your presence into the present moment. Now, just now we are talk about, we want to know our destination. So when you bring your presence into the present moment, you know the destination and you're aware of all the friends that you have, that AI tools that you have, you choose and then you start using. Just like Eric mentioned earlier on, and we start using it for personal, not so much for work. It means to say they just want to express themself first. So when we want to express ourself, it means that we are human being first before the hat that we wear, the role that we play. All these are expression of who we. So when we have clarity and we reckon with ourself, okay, I know that I'm here right now and this is what I'm going to do. I want to actually reach this outcome in this context in my work. Okay? For example, in my work. So I'll reach this how best and I can approach that. Okay? As though what question? Sometimes when you, when we realize that we have been asking why, why, why? And then we just sitting there not moving. Try to change it to a what question?

Audrey Chua 15:02

Wow. I think that's a very powerful shift, right? Um, being able to see, you know, with the glass half empty, the glass half full. I think that mindset, AI or not, is still true for so many of us. And just that shift in perspectives helps us to focus on the opportunities that are out there. Even for me, when I first started my company close with copy, my client actually sent me a message and he said, Audrey, you're gonna be replaced. And he sent me the link to chat, GPT, uh, that was the original version. So I'm so glad he did that because it forced me to figure out how am I gonna use this new tool? How am I gonna stay ahead? And now AI is such an integral part of my workflows and my client's workflows as well. So I think for anyone who is listening, right, just knowing that whenever there's risk, there's also opportunity. Uh, it's. You know, side we wanna focus on, and a question for you Eric. So let's talk about the company's perspective, right? On the company's and what have you seen so far? Are companies a lot more receptive towards ai? Um, especially in the Asia region? What changes have you seen?

Eric 16:02

For now, this one or two quarters we see more, uh, adaptation on, uh, ai, uh, in-house, uh, especially in, uh, some region, uh, in Asia like Singapore, Hong Kong, China, Vietnam, India. So for those corporate, they are not just look at purely tools, but the consideration is how they integrate the tools. With the daily work of, uh, the staff or how to streamline with their equipment workflow. At the same time, they need to look at the security and then we also need to know. was the data going in the AI engine? So of course they're not just subscribed those out of the box.'cause uh, on security part it's still a concern. So a lot of time they will build their own small model. So no longer, uh, LLM is a large language model, right? But it's more a in-house targeted model that what data they have in the over. 10, 20, 30 years. But as we always say, garbage in, garbage out, in tech industry. So if their previous data are not so clean complete, then that may not bring out too much value for the current workflow. So for them. For better corporate. They know how to do the transformation. They will look at it, look at the data, confirm with different business, uh, leaders, and then they can bring in, uh, the, the, the right data face by face and then do the testing, uh, by different users at Lean Manion. But some other companies, maybe SME, they were challenge, like they think they put SEC in, then they, there are some outcome right away. Okay, so it's like 10 years back people think, oh, website's very easy. Just build it. But there are a lot of different concerns, uh, how you build a SEO, how to improve the U-S-U-O-I. So then they find out, oh, okay, we screw up something. And then they need to hire someone like, different AI consultants to tell them actually what is a step by step guide. To do it, any documentation they need to refer to any SOP or any mindset that people have to be aware of, uh, when communicating to, uh, AI or the business analyst, the one who can understand the business and then design the AI workflow for them. So that's how we observe in the previous one to two quarter.

Audrey Chua 18:24

Yeah, I think one thing I'd like to say is some companies, they, they rather pay to do things twice. Then pay once to do it. Well, um, I think it applies to so many businesses, right? You wanna get things done fast, which I can understand. But at the same time, also, if you don't get the foundation done right many a times, the output isn't, isn't what you want it to be. Uh, and that requires a lot more rework. So for, for me, what I always advise my teams is start with the n in mind. What is the objective we want to solve? What are the business matrix that we want to achieve? And then with that. We figure out solutions on a smaller scale before scaling up. Um, I think if you take a more step by step approach, you would also see that, hey, you know, um, the results are a lot cleaner, better, and sharper than before. So, Lynn, going back to yourself now, we talked a bit about, you know, the individual navigating change and the companies, you know, having the right foundations. What are your thoughts around leadership and management? For leaders who are navigating this new world, how do they first empower themselves and then empower their staff? And if there are AI agents that are joining their team, what does that team structure look like? So we would love to hear our thoughts on how would leaders navigate this change.

Lynn 19:36

Okay, thank you. So for leaders, when it comes to transitioning into having a new, technology into the company, to, Enhance the businesses and all that they need to play a very active role. First in the line of work that I do, I encourage these leaders to check in with themself and find out what's the values that they have personally, what are their values? What is it that is important to me? Okay? For myself, number one. Secondly, what is important to me in the context of my work or my business? Once you have clarity in that, then when you are actually going in and talk to your, your, team, when you talk, talk to your whole organization and all that, you have a clarity and you are able to discern, okay, this value is my own personal values. These values to work values. Okay. And because the leader will actually form the culture and the direction of the company, so then go in and understand the values of your, middle management, your team, and all that. Once you are able to do that, it's from a human angle, you know? Then what will actually motivate your team members, the, the employees, people that you are leading to stay and what will actually motivate them to actually move on. Okay. With that information, you will also know what role they can actually play when you're able to position them in the role that they can actually play very well efficiently, effectively. Whatever AI tools that you bring in will then allow them to train it appropriately because they have clarity what's important to me and what's important for my work. And then in the work that I do, the role that I play. How do I actually input my, intell inte intelligence? My experience, my wisdom, and this. Putting the data and train the AI appropriately. And that will actually, um, go into the part where Eric mentioned right now there's a gap, you know, data rubbish and rubbish out, you know, all that. So when people take ownership of their work, it's when they feel valued. When they feel valued, is that you reckoned with what's important to me. You understand me. And this is the part where AI will not be able to replicate, and this is where human is, the driving force behind the productivity of the AI that we're going to bring in. It will also then lessen the friction of, how do you actually bring in that tool and have it sufficiently trained, during each period, during, each timeframe or each phase that you actually have in so that you get. The feedback you need from the public as well when you roll that out. And then with that, you won't raise, you won't waste the resources, not human resources, not course, not, uh, any other business resources. You minimize the risk as well. So if you're able to work together as a human from the value aspects, what motivates them, what actually allows them to, express themselves best? I think that is great. They all have to start with the leader.

Eric 22:31

Yeah, so they need to play a very active role. If I can actually add on one more part,

Lynn 22:36

really, AI will not replace human. It is the roles that ai, those who know how to use AI, can replace those roles. AI will not replace human. They only replace the roles that other users, who knows how to use AI to replace those roles. Yeah.

Audrey Chua 22:51

Yes, I absolutely agree that, um, that human element is so important in so many aspects of our work, our lives, and I think the being able to firstly accept that AI is here, but secondly. Work with it and thirdly, help your team work with it. I think there is the true like capability triangle. So maybe then another follow up question, right? So for business owners, now maybe they're navigating this change, they're implementing AI in their businesses, and some of their team members might be feeling very uncertain. They might think like, oh, is it gonna replace my job? are you sure it's not, you're not just trying to replace me. So with that context, how should. Either the business leaders or the employees ma manage this. Do they communicate about this? What is the best way to have that hu human element in this process?

Lynn 23:39

The best way is to, of course, communicate about it, but sometimes when you talk about big organization, when they have hr, HR can actually come in to, to do the communication part. When you talk about SME, the business owner might not have time. They're navigating so many things, right? So it is more about the ownership. You can do it two ways. it is a top down approach, which the, the, the top down approach is diluting in, in the way of how we are gonna manage organization these days. But what we can do is that we can encourage this, employees to do self-development, evaluate themselves, how can I innovate? How can I bring in the self-leadership in me to play a more proactive role in that? Okay. And then leaders model after you. You just model after. You allow yourself to be model after and you walk the talk and you encourage your employees to continue to develop themselves. Coaches these days, train coaches these days are available, you know, for them to actually talk to. And any help is health. That's my tagline. Any help is self help. So if you are really afraid of something, take it as a personal ownership to find the clarity. You are aware that it's great. You are aware that, you know, you, you have this fear in you. Okay? So take the ownership, exercise that, and go and find resources to allow yourself to, uh, break through it. Find values in how you can actually, you know, Work around this and better yourself with that, you get inner clarity and you can actually bring value not only to yourself, but you can bless those around you, means bringing value to those that you're working with as well. As you help your leaders, your leaders are able to better focus and help you as well, especially for SMEs, for organizational HR. Work towards understanding your human capital. Bring about the structure, the implementation, all the, Trainings and all that you can actually bring in to help them, grow as a human being and grow as somebody who can actually contribute to the organization.

Audrey Chua 25:34

I love that, Eric, for you. Right. Um, given that you work with so many individuals and companies and you sit in the middle, I'm assuming at Jobs Tailor, what kind of advice would you give that individual? You know, uh, trying to, to, to, to figure out where is their role in this workforce? Um, do you share the same sentiments as Lynn or is there anything else you would add?

Eric 25:54

Uh, it is quite similar to what, uh, Lynn just mentioned, and I agree, uh, how to take the ownership and also the clarity, the mindset to put into it are very important. I'll highlight in three aspects that, uh. The, uh, professionals how to, uh, put in, in this, change transition. First one is in a corporate, if a professional working there, you need to help, uh, setting the quality judgment to benchmark, instead the AI output. Uh, sufficient enough. Is that 90 marks or 95 marks, or we need to hit 100? Then at the end of the day, human is the one to be the gatekeeper of that. Uh, for example, there are companies that they have automated their, uh, approval workflow, uh, have the controlling. So is that, uh, really working well? Is that building another tools to monitor that or, during the process, during the testing, is there any risk there? So the one managing or involving in this approval flow have to be proactive as what, uh, Lee mentioned or at that, another example, I'm working for some clinic for their finance reconciliation. Of course, after, um, the. AI workflow. Take the, uh, invoice or other receipt information, do the calculation correct. Is the number sense sensible to you. So if you were the admin or finance staff, you have to know then what is the quality, what is the basic benchmark that you have to make sure before you roll out. So that's something that you need to set when you do the change transformation. Another thing is, uh, continuous, uh, quality control. Quality as. So after the launch, after transition, of course you still need someone to make sure it works well for the corporate. Then if you are the professional strong in that, uh, business sense, you know, the knowhow, then you are the one managing that, of course. Uh, the first thing is accountability. You take the ownership, uh, any issues you come up with the solution, the plan to work it out. So I believe these are the key, uh, free suggestions for professionals.

Audrey Chua 28:01

Yeah, I think that what both of you mentioned, right? The term that stood out to me was ownership. Um, a lot of times we like to maybe blame everything else that's changing. Oh, the economy is bad. No tech is changing. Jobs are market is not as good. But actually a lot of times it's also about the individual being able to say, Hey, I wanna learn something new. I wanna. Show you that I can implement and if I, even if I don't get it right the first time, it's fine because I'm sharing my progress. And with that, we can take one step closer towards that change. So I think having that mindset garden accompanied with the skillset is extremely important to unlock growth for the individual as well as the wider company that you know you are working in. So we talked a lot about the good parts about ai, the potentials right of ai, but let's just talk about some things we should, you know, be. A bit more careful of, or careful with when it comes to ai. So then from your perspective, what are some watch outs? Right, uh, for either the individual or companies when it comes to using ai?

Lynn 29:00

Uh, the watch outs, it's the overreliance on what actually is being shown out from ai. And without discerning, you actually use it and then you put it into practice. I think two years ago, uh, there's a big four his, that's been sued because they actually turn out a report came from AI and they did not check the factual part of it. it's quite, um, unfortunate because it comes from the professional. Okay. It comes from a professional where we actually hire Big four because of the credibility, because of the profession that they're in. And it's very unfortunate that they do that. And when they actually got caught, they will, the credibility risk was then it was at stake. So you really need to be able to discern. What is right, uh, in terms of what is factual for your company and what's not. And that comes where human needs to really, you know, know what to value in their employees.'cause some, they are really, really very experienced. They might not be, very chatty. They, they might not be bringing in a lot of, uh, revenues, you know, because they don't go out and get the, the money in. For example. Okay. But they are key to the checking points, the quality and the assurance that is needed for the company. There's also another professions where the lawyers in the us, a case in the US where the lawyer in the litigation court case, they presented a, a. Court, uh, they actually cited a case that never existed to substantiate their, their, their claims. So that law firm is also being reprimanded, and the court actually took the very action against them. So we need not have all these, right? Don't take shortcuts. As a human, sometimes we lean to the easier part. I know that if you're able to have clarity on what you're doing, you take ownership of what you are actually producing, you are willing to go through the crux of, I, this is what I need to check this properly, and I need to actually inquire with people who are much more experienced. I need to do the, Quality assurance do that even though it takes a little bit more time with that. At the human aspect, you are also building a rapport with yourself to. Instead of outsourcing your decision making, you are actually building a rapport to, do the grind work and allow yourself to have the confidence of what you are actually presenting to be true. Okay? And that allows you to bring back the credibility and the ownership to yourself. And when you go out, you will speak very differently with others. And that's personal, uh, leadership. Okay. You know what you are talking about, you study about it, you did the work, and that's where the refinement, how you actually feel that this is my job, that self ownership will grow, the confidence will grow, and you will actually not only help yourself, but help the team as a whole.

Audrey Chua 31:50

Wow. And Eric, what are your thoughts on that? Would you have anything else to add?

Eric 31:58

Thanks a lot. Uh, I guess link cover a lot. but I would like to highlight a few examples that some people may not aware if they're not following AI news so much. So, for example, the accuracy of LM actually, uh, may not be. Too reliable because they, we are using the guesstimation of the next word. So it's like someone can be so well. So a lot of time we need to double fact check, uh, whether the answer is correct, if you are asking for, different ideas. So maybe it's easier, but if you are doing fact check, then have to be very careful. And then another example may be the open core hype. as Lee mentioned, humans tend to take the easier path. So you see some country people queue for long time, get someone paid for you, paid, to install the open core for you. And then after that they find out, oh, it burns too much credit can help on their daily work. Then they find out, okay, we need to uninstall, and then they also need to pay someone to do that. So that will be, uh. To, to interesting stories. But, uh, even for professional, there are some security issue, uh, for a security head of a social media platform. After he tried the open crawl, his mailbox got nearly created, and then he has to unplug the machine then to save the mailbox. these kind of things, have a lot of considerations before you really. Work on it. You need to study it hard and then make sure you know what you're doing, whether you use the external virtual machine or you do your own corporate hosting. That's something, I believe the corporate or the working professional have to study first. Have your clear clarity mind before your action.

Audrey Chua 33:38

Yes. Um, even one of my contacts of mine, he told me that he has open floor on a separate MacBook. Right. Because he doesn't know what it's gonna do. And of course it's very powerful, but it's also still very dangerous. So, like what you said, being able to deploy AI with tech, um, and also with just a bit more. Wisdom in terms of how safe you feel AI is right now versus what it actually is, right? I think those things definitely matter. So I think we covered quite a lot of amazing insights in this conversation, but I think for our listeners, right, they may not actually know what, uh, AI Asia Association is. Eric, could you tell us a bit more about what you guys are, what you guys are doing? Hmm,

Eric 34:16

sure. So as mentioned, we do a lot of networking events. Um, there are some publication or complication on the industry insights. So, uh, some of the, tech events in Singapore. Uh, we also have some booth to explain to, uh, the industry people that any, corporate or enterprise solution we can provide. another one is what we've mentioned in May 7th of May, we have, AI and HI workshop, in SG Innovate. So maybe Lynn can cover more on that and, uh, anyone interested can come and talk to us.

Lynn 34:46

Good. Um, so on seventh May, it's an event that we work together with, uh, SIM, Singapore Institute of Management, and we actually are able to invite different backgrounds of individuals, uh, the AI expert themselves, uh, myself, I'm humbled and I'll be one of the speakers there as a hi lead. And then we also have an educator that, uh, he's, uh, specifically flown in from. The UK and he understand from the educational part, uh, how do we then, um, teach the, younger generations, you know, how to actually implement, uh, and use AI from the human spec. We also, um, are able to bring in another industry practitioner who is an alumni from SIM. And, uh, also a student leader who will then give a perspective as a student as well. So we got a, good, breadth of, uh, different individual background, who we come together and we do this, intentionally because we want everyone to know that AI is a tool. AI is a tool to help us regardless of, what. What, uh, hat we wear and what, role we play and all, and we can hear it from each one of us who are actually specializing in different, different specialization. What does it mean to have the human factor in the AI application in the AI world? So it's a one hour fire chat. Uh. That begins at 6:00 PM between six to 7:00 PM we will then transition and then after that we will have a HI workshop. So everyone is welcome if they're interested. Yes, come talk to us or you can actually, uh, visit sg Innovate website on the event site and register yourself there. Yeah,

Audrey Chua 36:28

awesome. I will also be adding the links to the show notes, so don't forget to check it out. Now, as we come to the end of this podcast, I would love to hear from both of you for someone navigating the fast pace, fast changing world of ai. Right now, what is one human capability? Do you think that they should protect? Maybe we can start with Eric and then Dean can end us off. Eric, over to you.

Eric 36:50

Curiosity to stay curious to keep update on the news. there are a lot of platforms, educators talk about any new tools, workflow precautions, their painful experience. So you learn from them first and then you can practice.

Audrey Chua 37:05

I love that Lynn, yourself.

Lynn 37:07

Uh, myself is clarity, of course. So not just intellectual clarity, but the kind that comes from knowing yourself enough and know what you actually want, what you actually value as well, and the kind of leader and professional that you choose to be. And use AI to assist you, the ai, be your best friend to help me.

Audrey Chua 37:27

Awesome. So with that, I think Eric, you said curiosity. Lynn, you said clarity and I shall end off with another word with C Confidence. I think, um, there's a lot of fear going on and there's a lot of anxiety all the time, but if you go ahead and go into things, you know, and just dive right in with a bit more confidence. In yourself, right? Being able to trust yourself as a human to learn how to use ai, I think that's what's gonna make you truly irreplaceable. So with that, we've come to the end of the show. Thanks so much for tuning into the AI market display and we'll see you in the next episode. Take care.