AI for Safer Workplaces & Smarter Industries Transforming Risk into Real-Time Intelligence

out a long, lengthy form of information for that to be processed much later by another human in the loop, per se, to really looking at how do we get an experiential learning and an experiential engagement where the intent is to keep everybody safe and our workplaces safe as well, and then obviously have AI be an enabler in how we get this into the system as well as processed, and that giving us the right signals for predictive intelligence. So that’s a paradigm shift that we are looking at, obviously, in today’s times, and the evolution has taken us to this stage right now. So we as Benchmark Gen Street have been around the business of digitizing environment health, safety, and transforming workplaces for the last 30 years, and we work across the world with close to 450 global…

Subscribers. and about 8 million user base using the system day in and day out for various aspects of compliance, assurance, environment, health and safety to sustainability and ESG management to obviously looking at supplier engagement and quality and security as well. So it’s a time -tested active product and the challenge for us over the last three years has been really to transform a SaaS -based system that we have today into making it AI -first. So that’s been our motto over the last three years in how we convert all of our intelligence, learning experiences into giving our customers AI -first philosophy and methodology of engaging with the platform. I think I covered some of this aspect. And in the pipe, I think we have.

I think we have already 75 different use cases in AI that we have available. but I think our next gen is about agentifying a lot of that to deliver the right value for engagement. So with that, I think I’ll invite my colleague Chandan to take a shot at helping us walk through the use cases and really talking through the value proposition of how AI is here to change the way we do stuff. So, Chandan.

Thanks, Naveen. So now we’ll walk you through, I would say, a story of someone who is working at a work site and how they really look at the different risks and hazards at the work site. So let’s say I am just walking into my work site, and this is something that I see the moment I kind of walk into a construction site. I look at this scene. and I know something is wrong here. I am not entirely sure what is wrong here. I am not sure what kind of safety rules that they are violating. But I know, I get a sense that something is wrong here. Traditionally, in a very traditional sense, what Naveen spoke about, you know, earlier what used to happen is that I am supposed to kind of, you know, go find a form, fill it either, you know, manually on a paper or, you know, find a portal, look at a form and fill it, understand what is the type of risk, the type of hazard that I want to report on.

But now let’s look at what the transformative way of looking into these hazards and risks. So I will go online. What you are looking at is one of the programs that we have. We call it observation reporting. And this is something that is used for engaging people in reporting. Reporting any kind of health and safety concerns that they have at their workplace. What a worker can or anybody for that matter they can really do here is look at let me just I think I am not connected to internet so just give me a second to connect it back but essentially what I can do here as somebody who is using this kind of platform and AI technology I can very easily scan a QR code on my phone or scan a direct photo of something that I am seeing and then look at sharing it with the agent that we have we call it Jenny AI and the moment we kind of share it with the Jenny AI the agent can really process and look at all the different health and safety related hazards that we have and kind of fill that form on my behalf.

So let me let us take an example we will look at the same photo that I was showing you earlier and let us see what that overall process will look like. So assuming I have already captured the photo here. I will locate that photo which is in my phone or my computer. And let’s see what really happens here. What you will see here is the Genie AI, which is the agent, AI agent. It will pass through the photo which is uploaded. And that’s what is happening right now. It is analyzing the image input. It is reading through the intent of the input which has been provided. And it has filled the entire form on my behalf.

I did not have to go and tell it or describe the hazard. It says that there were a couple of workers or two workers who are working at site. And they do not seem to have any fall protection equipment which is there. Now, of course, we do understand that the AI is just looking at the photo. It does not have broader context at this point in time, which is where it will also ask you, do certain things that it does not care about. So right now it is not very certain that while the people are working at height, it’s not certain of what is the height that they are working at. And it will ask you some follow -up question that you can kind of really provide.

But this is where it will help you, you know, update most part of your form, if not everything. Now let’s, you know, assume that I don’t have a photo. I am there in the site and I just want to kind of go and report something that I saw. And I do not, I am not very fluent in, let’s say, English or the corporate language that we use. So I want to do it in my own, let’s say, language. So I am going to use an example. I am going to speak or describe what I saw in Hindi. And let’s see how the agent will respond to that. So I am going to say, I am going to speak in Hindi.

And I am going to say, I am going to speak in Hindi. And I am going to say, I am going to speak in Hindi. And I am going to say, I am going to speak in Hindi. So what I did just now, I spoke in Hindi and I described that I saw, you know, a bunch of people working it. And now let’s see what’s happening here. So the AI assistant, it is analyzing the voice, what I spoke in Hindi, and it is kind of, you know, trying to put that into the form, into an structured data for me to again go back, validate, and then submit it. So what, you know, how it really helps is, let’s say I do not have the safety inspector’s lens or competences, but I still want to contribute and I want to report things.

This AI can really help you, you know, put things in. So you can get the perspective in the right structure and get the data into the system. now let’s say you know I have reported this I saw two people they were doing something which was not really safe and it was reported into the system what’s next? The next step is for us to really understand why they were doing it and that’s where the incident investigation comes into picture it is a process for the industry to look into what really happened and then understand the root cause behind it and that’s something that we do here using the other AI that I want to talk about which we call as 5Y AI analysis and 5Y is nothing but a way of looking into what exactly happened and why it really happened and we keep asking question you know as to why it happened so in this example you know two people were working at height they were not using any safety equipment then the question would be why they were doing that you know were they not trained about it or were they not really, you know, given that safety equipment, right?

So, this is how you look at all the different reasons which really contributed to that particular incident. Now, in this case, typically when we do it in a very traditional manner, what it needs is, you know, multiple people who have years of experience, they collaborate. These are the, you know, team of cross -collaboration, you know, experience. And then they look at all these reasons. But in the absence of that kind of experience, this is where, again, AI can be used as a digital co -worker. So, in this case, the AI is helping me kind of articulate what really happened here, and then it will support the entire process of conducting a YY analysis. So, the moment I click on suggest, it kind of opens up a separate form, takes into account everything that has been reported here from a context standpoint, and the moment I click on…

generate Y statement, it will give me different branches, different options, which I, as a practitioner, I as a supervisor, I can really pick at and then conduct this analysis. And this is the process that I will kind of, you know, go and repeat until I reach to that final Y as well. So this is again, like I mentioned, the idea here is that even if someone does not have that kind of experience, it can use the LLM, the large language model, which are, you know, trained on the latest datasets. And that’s something that can, you can really use to, I would say, substitute the experience part of it. Now, let’s say we have investigated this.

And now we need to also figure out what do we do to really, I would say, repeat the recurrence of similar incident, right? Two people were standing on a drum, they were doing something they were not supposed to do. We investigated it, we understood that, you know, maybe they were not trained, maybe they were not given the right kind of equipment. So, now we need to look at what should be done to really, I would say, correct that. Typically, when we talk about corrective preventive actions, there are different controls that we talk about, right? Not all controls are same. There are certain controls which are more structured, more powerful. We call them, you know, we identify them as hierarchy of controls.

So, in this example, when someone is working at height, the first type of control that someone would look at is the elimination. Is there a way we can eliminate this risk altogether? If not, can we substitute it with a less hazardous risk, right? Instead of having two people climb the height, can we do it through, you know, maybe something else? Maybe we bring in a forklift or maybe we bring in a Caesar lift and we do that activity accordingly. And then we talk about the engineering. Engineering control and then the other administrative control that we have. So many times what happens is, you know, when people are thinking about these controls, they don’t really have a very structured thinking in identifying these controls.

That’s where we have this option or this AI agent which looks into the details and then across the hierarchy of controls which should be applied, we can look at generating those different type of controls. And that’s what you are seeing here. It is giving me a very good first draft on what are the things that I should be doing for preventing the recurrence of similar observations, similar incidents here. So just to kind of recap, this is how AI can really help people in not just understanding the context of what they are seeing at the site from a risk perspective, but also look at understanding the root causes behind it and also come up with the corrective preventive.

actions without, I would say. you know, of course, it’s not again, a replacement of human, but it is a digital co worker that you can have in your pocket and which can really guide you through the entire process that we have. Now, let’s look at the other example here. I think we spoke about fall from height and the risk that you saw there is very, very evident, right? You saw two people who are standing at, you know, maybe three meter height, and there is a risk of them falling and you know, sustaining a fracture. But there are other risks when you work in industry, which are not so visible. And one of those risks is ergonomics risk, risk, right?

It depends on, you know, what kind of activity that you’re performing, right? What type of movement, the body movement, the manual material handling that you’re doing, and it creates a strain on your shoulder on your backbone, and so on, so forth. Typically when industry you know run these programs they need people who are actually trained on these guidelines some of these are called Reba Neosh guidelines and that’s where you need someone who is certified ergonomist to really look and identify those hazards. If you are a remote site if you do not have a certified or trained ergonomist this is where the AI can be really helpful and powerful. All you need to do is take a video clip of that particular activity which is being done and then you run it through this AI agent and it can really help you identify all those risk points that you have.

So in this case what you will notice here in this video is a person who is standing next to this conveyor and his job here is to pick these boxes manually and place it back on on this conveyor. So it might look you know a very very simple activity but if you keep doing this for one hour, two hours, six hours, eight hours a day there are a lot of risks that you are exposed to from your ergonomic standpoint. So if I just kind of run this video, you will notice that the Ergo AI agent is looking at all those pressure points and trying to kind of identify those risks which you are not able to identify unless you have gone through that rigorous training of being an ergonomist.

Once it is done, you can also look at converting it out and generate a quick report here. So the moment I click on summarize, it takes all those learnings, those analysis, and it is creating a ready -made output for me to kind of go and share with the relevant people. So this was an example of, I would say, ergonomics. Now, let’s also look at another example. And I think Naveen spoke about how we are kind of transitioning from having AI as a standalone functionality or feature to now looking at the AI. So if I go to my software, I’m going to go to my software, concept where the AI functionality works in the entire ecosystem and focus on autonomous action as well.

So it’s not just about the inside, but it is also about taking action on behalf of human, of course, within the certain defined guardrails that we have. The example that I’m showing you here is of a legal compliance. Typically, when you are in an industry, you need to go through multiple type of regulatory compliances that you need to report on. I’m taking one such example of a regulatory requirement from one of the steel industry and feeding this information to this particular AI. What it will do is look at consuming this entire information and it will then deconstruct it into different requirements that we have. And this is where you will see that the agent here has deconstructed it into almost 35.

Individual requirements that the industry is supposed to comply with. At a click of button, we can also take all of these requirements into a tool called compliance calendar, which is where these requirements can really be operationalized. Right. You can, of course, interact with this agent and, you know, ask specific questions or give specific, I would say, directions. Also, in this case, I’m asking you to do a quick synopsis also, as well as taking a quick way of auditing this entire activity. So this is where the single agent is kind of, you know, connected and working with multiple of the programs that you have within that defined ecosystem that we have. Now, the last piece and, you know, one of the most important piece that we wanted to share with you is all of these individuals.

Individual AI components that we saw, they tell you, they process a single record and they tell you a story about that particular record. but what if we want to understand the overall trend and the story that all of these data points together they are telling us that is where the RISC -AI comes into picture it looks at processing all of the records that you have each and every record which is logged into the system across different programs whether it is observation whether it is incident, it is kind of processed and that is where it helps you identify the patterns the trends of precursors things which can go wrong so I think again going back to the example that Naveen used of Bhopal there were of course many many precursors before that incident happened in terms of maintenance in terms of safety culture but all of them probably went unnoticed so this is where a system like RISC -AI is extremely powerful extremely helpful which really helps you see kind of trend and help you take a preventive action also The other aspect that it can also do is help you visualize the different kind of risk that you have in your organization.

So using this chart, and let me just refresh this for a second. But what you will be able to do here is use a mathematical model to assign a severity of different type of risk that you have in your organization and visualize those on a heat map. In this case, what you will see here on the x -axis, I have the volume of those different risk categories which are captured. And on the y -axis, I have the overall weightage risk score. If I just talk about some of the examples here, for example, slip and trip risk, you will see that the count, record count is on a higher end. There are almost 75 records which are tagged to this category.

But the weightage risk score is comparatively low when we look at some of the other components here. Such as fall from height, because it is taking also into account the inherent risk that you have in that particular activity. So this is how it can really generate a very powerful picture of helping you understand what are the areas that you need to kind of focus on from a prevention standpoint and also provide you a bit of predictive intelligence about what and where you should focus next, both in terms of the different part of your workplace, organizations, as well as the different kind of activities that you’re having in the system. So with that, I will now invite Naveen back on the stage to kind of, you know, Naveen, anything else that you want to add from a closing standpoint?

Thank you, Sundar. I think this is great. I think I had a few friends come up to kind of comment on the demo, which I think they could relate to a lot more, I would say, from an industry standpoint. But overall, I think as benchmark Gen Street, I think our journey this year is going to be focusing around some of the stuff that Sundar showed. which is autonomous agents being able to do a lot of the stuff, a lot of the heavy lifting that is required by individuals who were earlier wanting to engage with a platform and type in all of those details which are required. So I think with that, I think hopefully we’ve been able to do some good justice in helping you understand how AI can transform a function like safety and look out for us over the next year or so in making it a completely agentic platform.

So with that, ladies and gentlemen, thanks a lot for your time. We do have some time for questions if you do, but yeah, otherwise we have a booth back in the room when we can have a lot more personalized conversation if you’re specifically interested. So thank you. Any questions, please let us know. All right. Thank you again. Bye.

A bumblebee cannot fly but it still does. The thing is that when this statement was made in 1930, we understood very little about aeronomical designs. And by 1980s and 1990s, more research came up and we realized that okay, a bumblebee can truly fly because its wingspan and body weight support a variable flying measure. That is what design does. And AI only understands what we know of design today. not what we can create with it tomorrow. Creativity is today’s human advantage. AI can generate, AI cannot originate lived experiences. The context, the culture, the emotion, the meaning and the human intuition matter more than ever. Good design is not about a good drawing. Good design is about good solutioning.

Good design is not about beauty. Beauty, good design is about good solutions. And good solutioning needs good understanding of design. And hence, I make a very provocative, bold statement today that resumes are going to die by 2030. Because the skills that you may have learned today, I may have learned so far today, may become irrelevant. AI probably will be able to do everything faster, better and at a much lesser cost than us. So then which is that? Not one skill. that remains extremely, extremely important. Design and creativity. The workforce that we need 5 years from now, I’m not even making a bold statement by saying 10 years from now or 20 years from now, which can think across disciplines, which can collaborate with machines and not compete with machines, which can communicate visually, which can learn continuously, which can adapt to context, to cultures, which can build and shift fast and which can adapt without fear.

And hence, being human becomes your advantage, even in the age of AI. And how do you become more human towards solutions is by the essence of imagination, that is creativity and design. Good afternoon, I welcome you all to this session hosted by Code. And now I welcome my colleague Garima, who will invite all the panelists and we’ll continue the discussion. Thank you so much. My name was Magma Sree. Thank you.

And we are proud to have Dr. Shweta Chaudhary, founder and director of CodeEDU and host of this session, a leader working at the intersection of creativity, learning design and future ready education ecosystem. Thank you all for being here. And I would like to thank Dr. Shweta Chaudhary for his time .

Hello friends and thank you for being here with CODE, the Centre for Originality, Design and Expression. Why we need it? I am thankful to Umang for setting the stage that yes, the bumblebee can still fly. So what is it that in the age of AI will keep all of us the way we are, the humans? I am privileged to have with me an August panel which has been through various walks of life as a student from esteemed institutions, as workers, colleagues and administrators into institutions of high repute and public administration, as founders who have struggled and evolved built systems which have handled talent at a larger scale. So let us hear from them what it means to them that why and how the human intelligence will stay, should stay, has to stay in the age of artificial intelligence.

I would prefer to begin with Sir from Sunstone, Puneet here, Piyush here, sorry. Piyush sir, what does this word creativity, cognition and culture mean to you as a person? That’s the best way to introduce ourselves. Rest of the chat, GPT tells about us. So today he asked. He can’t tell.

I think these are all the pillars which define any human being. Because whenever we talk about Vixit Bharat, whatever we may think of, we might have things like GDP coming our way, but at the core of it, it is the human capital. So, whether it is personally us or we talk as a nation, creativity, cognition, culture would always be the key pillars. As a founder of a tech school, I can tell you that today coding is no longer a skill. It’s table stakes now. Because how you apply that, how you solution to that, that creativity works. So, I hope this will help you lead the way forward. You can ask any question, write me an essay, create me, you know.

Give me these points. But if you are not prompting the system again, you are not challenging your cognition. You are not challenging your thinking process. And thirdly, culture. I think we have a big 5 ,000 -year -old heritage to live with. There are more than 22 languages, innumerable dialects. To be able to take that along, to be able to understand those nuances is also very important and not to be ignored in this AI -led world. Therefore, no matter where this, and it is quite evident that AI is shaking up a lot of things and will shake up a lot of things. But the power of creativity, cognition and culture is here to distinguish. what is human led and what is mission led.

Perfect. So it’s not about the countries or the continents that are fighting to fight about who owns it but it’s about the human beings of those countries and continents who will be owning it. So let’s keep us intact and keep our humanness. Thank you sir for that take. Let’s have sir who comes with a background of public administration. Sir, how do you think that creativity, cognition and culture in this setup really keeps you intact or how does this value into your ecosystem?

Thank you very much. First of all, I thank CODE for organizing this beautiful session and the kind of passion they displayed in insisting upon me to come here is laudable and that’s why I am here and I would also like to tell everyone that I liked what Umang said in the beginning very much. Beautifully he presented in a very brief thing. I told Umang personally that I liked what you said. so you know i’ll tell you how i mean creativity cognition and culture why it matters i was going around this stall i also came day for yesterday for something else so i was trying to meet this this floor has a lot of government ministries so i was trying to meet trying to find out if there is some officer from any ministry i didn’t find except in ministry of skill development stall i met a lot of youngsters consultants other people so i said are you worried about ai or are you happy about ai more often than not i said we are worried sir i also across you know across the spectrum i try to meet a lot of people and talk to them engage them it’s great fun and great learning actually so i found that you know there is a lot of fear and i found that you know there is a lot of fear and i found that you know there is a lot of fear about ai and people are actually not very clear about what kind of changes ai will bring And in this kind of fear and anxiety, we should not forget that our originality, our USPs as a human being, they will matter much more than today in the world of AI.

Because AI is what the data tells the tool or the bot to give us. If the quality of data is not correct, for example, today if the data is not reliable, the results will not be reliable. So one of my friends said that, sir, AI is not like you ask a vendor to give an AI solution, he gives you and he goes. Like an IT solution used to give a software, a computer laga diya, ho gaya. It’s a continuous engagement to improve the results. Because the AI bot will improve its own results, different habits, colors of skin and languages. I think that will matter much more in the future. Thank

A very beautiful take as put up by sir. One thing that’s most resilient is us. amongst all the crowd or amongst all the stages that are set up. Something that differentiates is our originality. Yes, and that is to be kept intact. Coming to some very beautiful solution, I would say, or innovation to education comes from a university which itself is formed on a very innovative format of education. I would request, sir, to define his definition of creativity and cognition.

Yeah, thank you for this opportunity. So, as an educator, when we jump into this new term called orange economy, so the new orange, how the orange would be. So we have seen oranges, but we have not seen orange economy. So the new terminology came which defines what creative, how cognitive, and the culture immersed together to define the human being. I represent South Asian University, which is the first university in the world set up by Sark Nation. where students come from all eight countries. So people come from Nepal to my university, people come from Afghanistan to my university, people come from different destinations. We represent Asia. So within Asia, are we same by cognitive thinking? Within Asia, we are same and we are sharing same culture.

So culture to what extent? The same culture. Are we different in culture? When we say creative, Indians are more creative than the neighborhood. Neighborhoods are more creative than Indians. So when I look at this international perspective to my institution, I engage with more students and I evaluate critically what you do better. So as an educator, when I say I am in the age of AI, we are already in the immersion of the AI. People have already started AI. Students are already using AI for different tasks. So when a student comes to me, sir, I have done this work, I ask, show me the problem. I first thing I ask show me the prompt so it is not the skill that you have done assignment you have done reports it is done by GPT your skill like that you said that your skill is how you define redefine your code how you build the skill to understand the code coding is not a new thing now lot of training usually happen but what remains us creative human being how you apply your creative brain that always you can’t beat technology always assist you I believe with my personal opinion technology always assist you technology bring efficiency in you technology support you but the decision -making is always lies in the human brain are we are using the technology responsibly we are using technology ethically there are so much concern as a educator I have to train to my new human resource And I believe this new orange economy will give lot of opportunity in the time to come to the people who feel if my job is displaced, I’m sure some new job will come that you have to learn, you have to survive and you have to adapt with the change with AI time.

So that’s my perspective as an educator.

Yes, sir. Beautiful perspective where he tries to say that culture and cognition and creativity bind us as Asia. That’s a very beautiful definition and separates us from the Western world and they tell us that this is what keeps us together. And at the same time, this is what will keep us going will be the cognition. Thank you, sir. Coming to Satya, sir. Coming from an IIT as a student, getting into a technical field of learning, engineering, and then coming to administration. I mean, all these numbers and domains, or I would say background, sound very redundant and sound very boring. So how still creativity stands with you, creativity, cognition and culture keeps you going.

Thank you so much, Swetha. Thank you very much, panelists. And I would like to thank that this question is being asked. And I just want to describe the way we are sitting here in this hall, right? After every one hour, this hall is changing with the audience, speaker and everyone. And this is the standard setup. I would like to give the answer for all the three things. This is the standard setup is being provided for all the type of stakeholders, be it global, different types. The type of creativity we are putting or hosts are putting into this, you will see after every hour, this is being changed. And the kind of cognitive inputs or… discussions are being done must be different and it will creating level of the discussion and reception of all the stakeholders and in the similar manner the kind of culture both the sides be it speaker side or audience side or host side it will be literally different so my main just to answer this question this is a very subjective and with respect to AI AI is artificial intelligent it will always be artificial and human intervention human inputs humans with inputs of human creativity cognition and this culture will always surpass the best thing I would like to agree with professor Ashish that the kind of input prompt and expertise of that particular field which always surpass and that’s why I was discussing with Upade sir that everyone is scared, children are scared I say that there is no need to be scared with them, on these things in fact, their level of artificial intelligence will be very good they will be able to give their input through their input so there is nothing to worry about

so nothing to worry about friends the walls are going to remain the same we are the emotions into those walls and that is what is going to make the difference so let’s keep the emotions and the humanness intact, I am happy to say that all my panelists here strongly say that human intelligence will supersede the artificial intelligence let’s talk about the audience, anyone who feels that the artificial intelligence is going to top us and the humans are going to stay behind or all of us are on the same page let’s start with you audience, any take on this? human intelligence or artificial? what comes first? all agree to the panel yes sir please

you mean to say there will be a timeline where this human intelligence will cease to supersede it’s a time bound super time bound position basically as AI improves is there a timeline like after certain years that AI will be better than human intelligence

please say your good name please so Saurav says there is timeline to it

I think certainly there is merit to the line of argument which you are making so as AI becomes more and more intelligent our education system is continuously under stress. It is being tested. There is a stress test happening all the time. What’s happening is that the shelf life of hard skills is really diminishing. Like if I could hold on to a skill and take my whole life career with it then it came to 20 years and now it’s a matter of couple of years, three years, four years and so that the shelf life of hard skills is really shrinking. But where we need to focus is that not only making. Earlier we used to say that don’t learn but make things.

Now it’s not only about making things. You have to understand the meaning of it. You have to apply it. Rather if you can say that not only artificial intelligence but applied intelligence is where humans are going to really be there. Because I can tell my student to code. They can make a chatbot, right? But can that chatbot tell, let’s say, a farmer in MP that whether he will be able to sell it at a good price or not? So the application of it, the solutioning of it will matter. And again, the timeline, I think it’s right now not an easy answer. But that’s the direction where we can at least all go and we know that we can expand it further.

Okay, thank you. Yes, maybe that’s one of the reason why we all talk about the fear. Is that a timeline or it will be the resilience that will go forward and the humans will become smarter or the artificial intelligence will become smarter, yes? So it’s a generation that all of us are going to see and go through. So let’s keep ourselves crossed for it that we will remain the smarter ones as the panel says or the generation sitting on that side, many of the young faces don’t even want to answer. Because they are waiting and trying to tell us. that every next is smarter one.

Yeah, so actually, as I was mentioning you that I was interacting with a lot of youngsters and in the overwhelming feeling that I got from all of them, apart from fear, is that, you know, everybody is very unclear and unsure about how the AI will shape the world in the future. I mean, he said about timeline, which could be 10 years, 20 years, I don’t know how many years, even I don’t know. Nobody, none of us are sure about how things will actually unfold in the future with more and AI systems being more and more smart, data becoming more and more strong. And so there is a lingering fear among everybody in terms of what will be the impact as it unfolds because we actually don’t know.

And there are no mathematical models or something which can predict how things will unfold. But as I said, as an administrator, as a public policy person, for me today if somebody asks me a simple question that tell me what should be the purpose of having ai i would say that you know when i go to a village i find that you know there are a lot of people sitting without any work they don’t have any money in their pockets they all look for some kind of employment and they are not very well educated so they are very poorly educated in the village school you know a lot of absentism happens in government schools in the rural areas people don’t go or whatever you know i mean all of you know this so for me i mean the for example if i talk about ai in education so i should be able to use the ai bot or ai tool to examine a person’s background very quickly and find out what best i could skill i can give to him so that he or she can fend for himself or herself have a decent job And I don’t think of anything bigger than this because there is an army and army and army of people who have no job.

And that scares me more than the AI because in the future, if in such a big country, so many people will not have work, then this may lead to social imbalances and problems. So, for me, AI should be able to, and AI does it actually, because in a class of 50, 100 students, 40 students, AI, with the help of AI, we can find out about each and every boy and girl’s learning abilities, how much quickly they can learn, and then we can design programs for them, which a human being, a single teacher cannot do. So, anything which we do with hand, for example, plumbing or repairing a vehicle or doing any hardware kind of. Everything AI cannot do.

It has to be done by hands. Robots can do one day, maybe, but then. when will that time come again I don’t know so these are my takes as far as our country is concerned or South Asia is concerned because today you know we are having neighbours Nepal, Bangladesh, Sri Lanka, Pakistan in this neighbourhood we are sitting if any one of the neighbours as we have seen in the past is disturbed the country gets disturbed so in our own interest and there is too many people all around in South Asia so if people can get some kind of job as per their abilities with the help of AI that would be the best

application so friends yes that’s an important take to understand that where the human capital will go and what will be called the human capital how does you keep it sustained yes ma

so I want to know in a developed India we youngsters from 18 to 25 years for us it is very difficult to understand it is very easy to search a lot of things on YouTube search on chat GPT but what about our parents what about our kids what about the people who are like right now in the age of 2 to 3 years and they are learning now they are depending on chat GPT or my parents are afraid of chat GPT what can happen in AI how can AI be a fraud when are we going to teach them how to use it 140 crore people when will all of them be trained how to use AI

I mean I would just say how did you teach them how to use Instagram they haven’t learned yet people are still afraid so the easier it is the easier it is it’s all about intensity education has something I will talk to everyone about it education requires an intent for sure if you have an intent then maybe yesterday a teacher first your mother and then the technology is training you to become there to reach there we will take this question again with our panelists also and also discuss about human capital per se which is the human capital human capital is scaring us and when will we be able to train it and going forward how will we be able to make this human capital so sir as a professor how do you look at professors to become better with AI?

Or what’s your take on human capital of educators?

Yeah, so this is an educator’s dilemma. To what extent we support the use of AI and the more important ethical and responsible use of AI, right? So the question came, when do we have to teach people to use AI? So as an educator, when we see, do we have to start from school? Or do we have to start from college? Or when we go to higher education? So the most important foundation comes from the school. If you look at the kids now, they are more gadget friendly. They have tablets at home. They have IPTV at home. They have mobile at home. The kid has WhatsApp too. The kid operates WhatsApp on his own. The kid has his own group of school.

Teachers put topics in it. The kid asks the meta, that I want this meta, I want an article on this topic, of 100 words, and the meta scripts it and gives it. and he copied it from there, put it in a notebook and gave it to the school. This is not a challenge, actually. People will learn. People will learn by default. People will learn by training and people will learn through pressure. High work performance environment, where you will have to learn that technology. The problem in school is, how much ability we are able to use. That is cognitive thinking. Has that student used as much brain as the teacher said, this assignment has to be done.

He copied that much and put it in the meta, or put it in the GPT. He did not make the effort that we used to make at our time, when we used to search by ourselves, open the book by ourselves, make the notes by ourselves, and he is doing all the work in GPT. So the question came, to what extent cognitive skill remains strong into the market, learning is not a challenge, learning is not a challenge, learning is not a challenge, learning is not a challenge, learning is not a challenge, government of India is also taking lot of initiative through digital skilling. Kahi saare portal create kare kiye gaye hai jahaan par government khud ye chaat ye koi bhi citizen of India un portal par jaa kar apna registration in fact I did registration yesterday only to AI readiness.

Ki main AI ready kaise ho sakta hoon. Right. I know something of AI but I may not be perfect of using the AI. So that is my ability to learn fast. Government is has launched such programs through digital skilling portal jahaan par wo free mein apne citizens ko wo training dena chaati hai. Second perspective new education policy. Government is constantly trying to make over, re -look into the perspective of policy but again the challenge comes kya hamare school AI training ke liye tayyar hai. Infrastructure AI ke liye chahiye. AI lab humko chahiye. So learning, people are willing to learn. There is no resistance to learn, but how to support. And more importantly, I always emphasize ethical and responsible use of AI.

One more example. A few days ago, people started creating their image from Ghibli. Who taught them? Ghibli images were… Millions of images were created by family, housewife, homemaker, cooking, restaurant. Everyone put their DP on their WhatsApp. Everyone put their DP. At that time, we didn’t think about privacy. Where will that photo go? We didn’t think. Instead, we thought of creative images which has been created. Now people think about GPT. A carrier creature should be created. Chat GPT will create everything which you do. Who taught? We have learned it by learning through enemies. A friend told us. YouTube told us. Chat GPT taught us. Be clear. How to create? How to create? caricature. Yes. So indeed the human human capability to adapt is an important aspect.

Hi, thank you so much for this valuable inputs like government is there, universities is there. So my question is like how we are thinking about this ruler areas. Like they say already there are many universities, there are many colleges. But still after 12 candidates, first year, second year, final year candidates is not getting that much knowledge like what is going on in AI. Now people don’t even know what is to be studied in AI. It is not clear yet. How does AI work? How AI engineering, feature engineering, this data science, data analytics fields actually work? So how does this field how does this ruler and how does this ruler and urban is fine. How will it go to ruler areas?

Like I belong to a city. Murtujapur, whose name is also unknown. So there are such children who want to learn but they don’t have money. So what is the government is planning for them? Universities which are fine, everything is best. How they can shape these underprivileged candidates economically backward class.

So, yes please. That’s a very beautiful thought that comes and in a country like ours where diversity is huge we need to understand that not everyone has that take. We would also want to listen it from both our panelists sitting on both sides of me. One coming from the government and one who has developed education in a decade. Seen India growing with it. So sir, what is the systematic approach and what it has what is the process to make all of us understand that this is new but it will not stay new. When the efforts keep going continuously, we reach somewhere. So, sir, a portal like GEM, a government -y marketplace where you have been in the part of the system right from day one of inception till today, how do you really think that the people have to trust on something of a government initiative that it will reach and become everyone’s kitty?

Any person who is having a GST number, they can onboard, register on this thing. And they can participate in various products and services of the government. And in that, as madam is asking, to validate and recognize it, all the vendors, if they have any services and products, they can be onboarded and as a reliable product and source services, we properly do vendor verification and after that, we onboard its catalog. And if all those products are to be purchased by the government, services are to be purchased by the government, then tender process can be done there and can be purchased through direct market place. So I can just say that, if I am correctly pointing out taking your question ki jo ye services aur products banenge agar AI entrepreneurs jo bhi hai jo unke product aur services banenge toh wo sarkar unko sahi madhyam se leh sakti if I am able to take yes there is a system that has to start a day 2016 jain shahid JEM shuru hua hoga humne nahi socha hoga ki that we will be able to reach to this level where every smallest of the manufacturer or vendor from the rural area, the urban areas and every part of the country can become a part of a sales or a buy, sale and buy purchase platform of that scale so it takes time for sure, technology integration and adoption and also making it a part of mainstream is a process and journey let’s listen it from Piyush Piyush how do you say for such a diversified scale the question here

sso I think AI apne aap mein ek bahaat bada democratising tool hai learning ke liye hume kya chahiye hota hai? Ek self motivation chahiye hota hai aur ek koi madhyam koi medium jo hume koi padha de jo samjha de Now this part of the problem is solved by AI Right? If you have motivation and the assumption being we all know internet is everywhere now Specifically for tier 3 towns for rural areas Now anything and everything can be learned as well as anything and everything can be built Now you will see that as a trend we will see lot of solopreneurs single person small setups kyunki aap website khud buna sakte ho creatives khud buna sakte ho marketing content khud likh sakte ho everything you it is now more empowering rather so I think it is only more democratizing and more empowering for the rural India you can build things of your own you can have aspirations which earlier needed lot more things which are now possible.

I would like to give, as a parent I would like to give your answer. I have two daughters. My elder daughter is in NID Ahmedabad. And in creativity, NID Ahmedabad is quite good. And my younger daughter is in 11th class. She is a player and plays in 11th class. My elder daughter, because she didn’t have much, I asked her how you are going to deal with AI. She said, I don’t have to deal. The answer she gave me I want to tell you how the children are thinking. Our curiosity will be reduced. Professor will also be finished. She said, I don’t need to be afraid. I am studying. I will learn that first. As long as this tool is made, it will be for all of us.

I have to understand how to use that tool. And for that, until I don’t read the subject well, until I don’t understand the subject well, there is no benefit. So I don’t have to fear about what is happening. And the younger daughter, because in her college, as you said, sir, because in addition to the responsive and ethical use of AI. So once I said, how do you do notes these days? So she said, in our college, a lot of my school children use chat GPT. So I said, you don’t use it? So she said, if I use it, I won’t be able to use myself. So this was the answer from her. So in addition to what sir, professor sir has mentioned, we have to educate them for ethical and responsive use of such kind of tool, not limiting to AI.

So perfect, sir. I would like to add one answer to his question. That. Rural urban divide has always been a challenge in India, right? I remember the time of internet 2k internet launch hua it has the perceived that internet kaha tak jayega pehle shehron tak tier 1 metro then now you see the penetration of internet to aaj gaon tak internet pohucha wo infrastructure create hua government ne utna scale up kia telecom companies ko utna strong banaya ki wo us market tak pohuchka aapko aaj ek affordable rate me data de paye right aaj rural humari population hai that plays significant role in terms of economy in terms of business in terms of small business also and I am agree that education is also a fundamental right for the student who live very far areas of India AI ko bhi wo infrastructure chahiye AI ko bhi scale up karne me utna time chahiye the way internet penetrated slowly AI also in its studies in school, in course in its curriculum, in its lab it will assimilate slowly things moving we always look at where technology comes from, where technology is made and how technology diffuses technology sometimes don’t go immediately to every places, sometimes there is systematic movement of technology from one place to another place one more thing should we fear?

it is better to learn the things we should not afraid of whatever challenges us we should adapt to it better the version is the things which challenge you, it is better to look at it, adapt it and find out the new solution that how we can bypass how we can surpass and how we can head to head head to head competition with the technology right Maybe there is one question by Saurabh That with time technology will become so strong That it will surprise human beings Maybe it could be When you as a human being Feed the LLM When you as a human being You feed the LLM What could be the possible situation of a cricket shot Then the Chetji PT will tell you You have to play this shot Which is unique Because you have to feed the LLM first How LLM will know The large language model Has to understand the human What human think first Then the LLM work in the background For the answer to be the correct one The question has to be the correct one And the question has to come from the audience And the people How do we take it forward

Yes sir Namaste Thank you Thank you for a wonderful session I joined in late It was a little far from the other one So for India to become the India of the world we are talking of a 4 trillion economy 7 .3 trillion in 2030 it could easily be 10 trillion if we start trading our people we are not trading our people so if anyone of you are connected with policy makers Indians who travel outside India should suppose I travel to the UK and I work in the UK and I pay 40 % tax in the UK then 33 % of that 40 % should come back to India if I want to maintain my citizenship of India we will become 10 trillion economy just by this if Donald Trump can play everything we can also play so that’s question number 1 if anyone has any comment on that question number 2 is someone mentioned about motivation for education and the medium for motivation motivation comes and goes I think I would like to hear all of you all all of you all of you The power of confidence and does stereotyping in the education format that we have today, does it enhance confidence or does it kill confidence?

Because I meet so many students across the country. Last week I was in Hubli, I was in Belgaon, you know, I traveled to the depths of the country. And you’ll meet students who are fantabulous. People say we have Gen Z right now. I think we have Gen X, Gen Y, Gen Z, all 25 year old, depending upon the geography they are in right now. So fabulous students, but low on confidence. They are not from the city. So what does the education system do to multiply and enhance this confidence? If confidence increases, then it will do everything.

So I’ll take the second question. I think as an education system, we have to move towards a more inclusive education system. from learning to creating to applying. And when we create, when we make things, there is a different kind of a dopamine release which is there and it also gives you confidence. If I have built a working prototype, which right now, currently the education system by and large is not really supportive of creating things. It is about learning things. And today’s discussion where we were, you joined in late, is that even this is not sufficient now. Now we not only need to create, but we also need to apply it. That is it useful? Okay, this thing exists and it works.

But is it useful for someone? This is the next level because with the AI coming in, this is where we need to be. But by and large, to answer your question, I think the confidence really comes by creating and not just by learning. I think the confidence is the key. I think the confidence is the key. I think the confidence is the key. So if we have more and more creating opportunities, building opportunities for our students across the board in education, across programs, across the board, I think the confidence level, and this is right from K -12, I am not even talking only of higher education, this is right from K -12, I think more and more creating is what we need to really instill.

Thank you, Piyush. We would say that, yes, there was a time when knowledge was the reason of confidence. I know it, that’s why I am confident. But today it is that because I can build it, I can have the confidence. So friends, we are moving from the age of knowledge to the age of cognition, from the age of knowing something to the age of creating something. That is where we are here to discuss that it’s not just the artificial intelligence that is going to take us forward, but it’s all our collective cognitive ability that’s going to keep the Vixit Bharat or the India or all of us to come back to India. because yes, we were this what we are today but to get you all back to all of us we have to stay the way we are and that is something that is going to get us in that let us keep this intact the layer intact, the context the culture, the creativity of ours with that friends, I would thank my panelists for being here with us because we have to take this stage forward and the floor will be open for all of us to discuss we also have a team to have a product demo and a few of our friends to join hands together in taking creativity and cognition way forward in education so I would thank all of you for being such great listeners and be here till the time we have the next part of this session coming forward with the product demo I would thank my panelists to be here and would request for a group picture with all of us can we have a group picture so friends this is an inaugural or unveiling of one of the products that we say may I request the team also to come forward the team here may we have Ajay Rivalia sir, Viplav sir Nandaji, Garima ma ‘am Mansi the moment Vijay sir may we please have you here yes we have discussed about creativity and cognition this is going to be the tomorrow and this is something that is going to keep all of us intact so we are the torch bearers to it and we present to you a product which is going to make it better and educate all of us for creativity and cognition may I request our mentor Unkar sir to please join us Thank you, friends.

And now put your hands together for a product demo, which the AI -led education platform brings to all of us.

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Thank you. Thank you. May I please request your statement for how do you take it forward along with your current work that you are doing how will you add it up as a creativity layer to the systems

No, I think this is what would separate a graduate from a real world professional because we really need this layer beyond this, everything wrote, everything monotonous is going to be taken up you know one gentleman asked about the timeline, that question is pretty real and I think partnerships like these will really help us future proof our students, so really looking forward

Thank you sir, we also have our team from MEC Connect from across the borders with us to join hands The Next Gen Academy Thank you

So, we are proud to contribute to this academic industry partnership by bringing the design -oriented courses to our coding students. Our focus is that our students should not only learn the coding. They should have idea about the design thinking, digital thinking. They should apply all these stuffs in the product development. We want to make them entrepreneur. So, definitely this product going to help us a lot. Thank you.

Thank you, sir. We have a strong, strong education partner with us called Nimbus. Yes. Learning is already there with the academic institution. So, I saw this entire presentation was really great. One of the thing which, you know, I saw here was with learning, the accessibility should be there. So, we have solved the problem of accessibility. But with CodeEDU, I guess collaboration, providing the next -gen courses, exploring or connecting or creating network with developers. Definitely help the students to be industry ready. And, you know, really do wonders into this area.

Thank you sir, the make connect We are going to I am happy to see that the product, to be frank we are too excited as well and I as she said that we will be taking it abroad and see that we have a platform of students so we will be definitely taking it and joining hands with them on this Thank you. So thanking our partners may I request our partners Ajay Rivalia sir, Vipulov sir to please come forward for this for marking this milestone time that we have we have good education partners with us who plan to take us forward not just across the country but across the continent and make our intent stronger make our intent stronger within MOU that yes together we stand to make the education more meaningful for the Vixit Bharat to come so may we have a picture to document this All of us are overwhelmed to stand on a stage which the government has provided us with, so we want to be a part of this milestone.

Thank you. Thank you. Piyush sir, Gyan Prakash sir, please come on stage. Thank you. so with this I will conclude this session I hope everyone enjoyed this insightful and wonderful session and everyone agreed with this AI may automate ecosystem and system but creativity determines direction thank you so much everyone