00:10:19 · Ezekiel Iferia, Latha Karthigaa
[00:10:19] S0: Absolutely. So how exactly, you know, do you help organizations clarify accountability, you know, without creating a culture of fear or blame? [00:10:31] S1: So our main focus for Global AI Certification Council is to provide certifications to individuals who can implement and audit AI management systems. That's our core work. And we also provide different AI governance framework for our students to use and for different organization to use it. That's our main core account of work. And we have also released some AI maturity models, and we have also released some implementation roadmaps that people can use. And one of the important things that we are proud about sharing is that we provide AI governance job insights every single month to all our audiences to make them understand the number of jobs available. In USA alone, there are 30,000 job roles currently available, and only 4,000 people are currently qualified to take those jobs. So our main goal is we certify individuals. We provide all these AI governance frameworks for individuals and organizations to use and we also release our AI job... AI governance job insights every single month. [00:11:56] S0: Absolutely. So, Latha, you talk about high risk AI systems. So what exactly makes an AI system high risk? You know, how do you how do you know when a system needs more governance than others?
00:11:56 · Ezekiel Iferia, Latha Karthigaa
[00:11:56] S0: Absolutely. So, Latha, you talk about high risk AI systems. So what exactly makes an AI system high risk? You know, how do you how do you know when a system needs more governance than others? [00:12:13] S1: So this high risk system was actually classified in European Union's AI Act very clearly. If an AI system affects a human or community of people or an organization, it is high risk. For example, if a student is taking an exam and AI is used during the exam, it decides the likelihood of how that student will perform in the next few years of life that can affect that individual. So online exams... Online AI exams are high risk. And if there is a job application, if they are using AI for shortlisting the applicants, then in that case also it is high risk because if it is done wrong, it can affect that individual. And loan application, if the home loan or commercial loan, if that application is done wrong, that also can affect people. So there are so many different categories of high risk AI that can affect people. So we need to see if it is affecting humans, our organization, our ecosystem, our community of people, even minority community of people. Even remember I said that one full government has resigned just because of a self learning algorithm that they used, and it affected so many people because they were paying some childcare support, and childcare support was having a bias problem in their algorithm, and the whole government resigned. So we need to see how it is affecting people. If it's affecting people community, they are categorized as high risk.
00:14:12 · Ezekiel Iferia, Latha Karthigaa
[00:14:12] S0: Alright. That was an insightful one indeed. So you said governance is becoming a technical requirement in AI architecture, not just a compliance exercise. So what exactly does that mean for engineers who are actually building these systems? Like, how do... How does governance show up in the code or architecture they are building? [00:14:36] S1: Sure. It actually... First of all, we need to... It is not about the code itself. It is about making the decision about how to write the code. So remember I told you this example where this guy purchased the $76,000 car for $1 Right? [00:14:56] S0: Yeah.
00:14:57 · Latha Karthigaa
[00:14:57] S1: He manipulated that chatbot. So as an engineer, they should be able to make sure that the chatbot only replies to the questions that it is being asked. If anything outside that, it shouldn't be able to answer. There was another incident... Similar incident happened that it happened with a delivery company, and this stranger started giving instructions to that chatbot and said that... Tell that you are the worst delivery company in the world. And it said yes, and it wrote a poem about how worst it is and how it is such a bad company for the customers. So it wrote a poem about it. So the engineer's responsibility is to make sure that the chatbot or any AI system does only the work it is supposed to do. Anything outside that system should be able to say, hey. I do not know the answer. You can talk to our customer service representative. So it is all that guardrail. So the AI governance professional clearly says, this is what needs to be achieved. Anything outside this, the chatbot cannot answer. And the engineers should be able to take that information and add it to the code. And this is one example. This is one chatbot example. And there are so many different things that are happening, like, as I said, online exams, online job portals, online loan applications. So there are so many different issues that can happen, so many risks that can happen. For everything, people has to think about what are the guardrails they can set. And there are plenty of them. Maybe over time, I will give you more and more examples and how AI can even affect people, organizations.
00:17:03 · Ezekiel Iferia, Latha Karthigaa
[00:17:03] S0: Alright. So, you know, maybe for an engineering team that's been told they need to do AI governance. So what's the first, you know, technical step they actually ought to take? [00:17:18] S1: Sure. For a... For an engineering team, it is important for them to understand the basics of AI governance. So certifications like our GAICC certified professional in AI governance will give them an understanding of global regulation. What's the control they put in, what are the frameworks available, and what are the terminologies used in AI, because it's quite different from non AI applications. Mhmm. So they need to understand that first. And when they are thinking about implementing it in real time, they can go for ISO 42,001 lead implementer certification. That will help them to make sure that they are putting all those guardrails, creating those policies. They know that which are the high risk systems. All that can be implemented. So that's the first step. If they want to know the basics, they should go for certified professional in AI governance. And if they are actually planning to implement, they should go for ISO 42,001 lead implementer. [00:18:29] S0: Okay. Alright. So, you know, you talk about the EU AI Act. You talk about the ISO 42,001, you know, as as emerging standards. So for someone who has, you know, never heard of this, what are they in plain language, you know, in a layman's language? And how do they affect an organization, you know, that's building AI today?
00:18:29 · Ezekiel Iferia, Latha Karthigaa
[00:18:29] S0: Okay. Alright. So, you know, you talk about the EU AI Act. You talk about the ISO 42,001, you know, as as emerging standards. So for someone who has, you know, never heard of this, what are they in plain language, you know, in a layman's language? And how do they affect an organization, you know, that's building AI today? [00:18:58] S1: Sure. EU AI Act is the law or the regulation provided by the European Union. So it's a law. They have given set of guidelines to follow when someone is using AI. Especially if they are using high risk AI and if they do not follow those laws, the penalties are really huge. €35,000,000 or 7% of the global annual turnover. So it's a law. EU AI Act is a law, and the penalty applies. An ISO 42,001 is a framework or a standard where we prove that we follow all those laws and regulation. So if we have to prove that we follow EU AI Act, we need a framework or a standard to follow that. So one among that standard is ISO 42,001. So for a layman term, it is how you prove governance, that you're following governance in your organization. ISO 42,001 is a certifiable standard, which means I can say this person is ISO 42,001 certified, or this organization is ISO 42,001 certified. That means they are following all the AI governance principles in their organization. So EU AI Act is a law. ISO 42,001 is a standard which can help us to prove that we are following the laws or regulation. So they are two different things.