Responsibility by Design Featuring AI Leader Shiphrah Wairima

AI is moving at “anything you can imagine is real” speed, and that pace is already colliding with cybersecurity, elections, scams, and jobs. We talk with Shiphrah Wairima, Kenya's President / AI Advocate, in the Global Council for Responsible AI, about what AI governance actually looks like when you stop treating it like a policy buzzword and start treating it like safety work. From her background in information technology and security operations to her focus on AI security research, Shiphrah brings a grounded view of responsible AI that includes both people and systems.

We dig into the threats showing up right now: deepfakes, AI-generated images, and voice cloning that can con families and target people online. Shiphrah shares practical AI safety habits, including the idea of a family code word, and we explore why cybersecurity and AI governance are inseparable when trust is the real product. We also tackle the career reality many teams avoid saying out loud: AI will automate parts of entry-level cybersecurity, so the smartest move is strategic upskilling that adds AI literacy to security and security to AI.

For leaders, we break down AI red teaming in plain terms, why CFOs and CTOs should budget for it before the breach, and how to think like an attacker without becoming one. We close by challenging policymakers to build adaptive regulation, involve education systems, and work with innovators so governance can keep up without killing progress, especially across Africa, where context matters. 

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Credits
Host: 

• Stella Gichuhi

Producer: 

• James Njoroge

Executive Producers:

• Harry Hare
• Agutu Dan

Transcript

Welcome And Fast Moving AI

Stella Gichuhi 0:00

Tuning in was an absolutely amazing guest, Shiphrah Wairima. Right now, young people are living the principle of Pablo Picasso, which anything you can imagine is real. So innovation is moving so fast. It is, yeah. And I feel like if we don't start thinking about AI governance right now, it's going to mess us up. We get to hear a side that we normally don't hear about. Tune in and discipleself. That's it for me. Stella Gichuhi.

From IT Diploma To Cybercrime

Shiphrah Wairima 0:33

Tell us a little bit about yourself. So my name is Shiphrah Wairima. It's a Hebrew name. My first name is a Hebrew name. It means beauty or splendid. And you are beautiful. Thank you so much. My last name, Wairima, means from the mountains. It's a Kiku name. Yeah. I work in intersection with cybersecurity and AI governance. And also I do a lot of empowerment in women in tech. And also I do a lot of empowerment on talents in underrepresented places. And so like you're very multifaceted. There's cybersecurity, there's AI, there's representation of the underrepresented, and there's women. Yes. So let's unpack each. Right. On cybersecurity and AI. What's your background in? Because most people I meet, it's do I have to study cybersecurity. What's your background? What did you study? So when I started campus, I did my information technology. I did my diploma in information technology. Right. And then currently I'm upskilling on criminology and cybercrime. So a little bit of CIA, right? So I try to tell people that you can start from anywhere. Yeah. Because I feel like as much as I studied information technology, I upskilled so that I learned a lot of cybersecurity. It wasn't not most information was brought in from like campus information. Yeah. Yeah. And I want to expand that. How important is it for the techie of today or the non-techie of today to upskill, reskill, cross-skill if there's a skill attached to it?

Upskilling That Builds On Past Skills

Stella Gichuhi 2:05

How important is it to the skill evolution? It's really important, but you have to be very strategic. Okay. When I mentor students, I use the quote Jack of all trade must have done, but often better than a must-have one. And they tell people once you have a skill, don't ignore the past skill that you had. Like for example, in my career, I started as a freelance mentor. Okay. And from there, I became, I did a lot of uh SOC analysts. Okay. And then from there I scaled up into being a security leader. So all everything adds up at the end of the day. Yes, it does. So being a freelance mentor guided me to guide more people in the cybersecurity space. It also helped me to gain courage to do speeching events. Yes, which everything really adds up. Yeah. So what I can say is that make sure you're upskilling strategically. Okay. No, whatever you're doing next will add up to whatever you did in the past so that it doesn't become a loss to whatever you're doing

Mentorship For Women And Rural Talent

Stella Gichuhi 3:00

in the future. And on mentorship. Who's your target audience and why did you want to get into mentorship? My target audience is women and talents in 100% places. It's very strategic. Yeah. For women, it's because my late mom died recently, just a few years back. Oh, she did. And she used to be an engineer. She used to fix things in the house, fix radios, fix stuff in the house. And I could see potential in hide. I used to ask her, why didn't you finish school? Yeah. But at the end of the day after she died, the pain was that she died without fulfilling maybe a dream that she once had. Okay. And the burden was maybe it was because I was born early and she raised me earlier. So my burden has been to find more women who have lost their hope, who had their own dreams behind them, and they have these crazy ambitions and they really want to push forward. And I try to help them become whatever they had envisioned in the first place. And for talents in underrepresented places, currently I live in Aquari. It's not a big city. And strategically, I live in Akuro just to prove to young people that you can succeed outside the city. And how has that been? Challenges, opportunities? There are a lot of challenges that come with it. Most of the time I have to be very strategic on what kind of maybe opportunities I'm trying to get into. Yeah. And have to vet is this opportunity worth for me to move from Nakuru to Nairobi or Nakuru to maybe a certain or another country. Yeah. So talents in those places usually suffer from maybe you don't have money to come to the to where the opportunities are. Maybe the opportunities are there, but you don't know how to get there. But you need to realize that there's so many opportunities virtually. And that's where I used LinkedIn as a scaling device for me. And it has helped me get a lot of networks virtually so that I can scale up even physically. Oh, so strategy, LinkedIn. So use what you have to get to where you want to be. Yes. And through your work now, you are in the Global Council for Responsible AI. Yes. What's your role? So with the GCRAI, I'm currently the chapter president for Kenya. Okay. So I'm leading AI governance here. We have local ambassadors working with us. And right now, there's not so much shown us because we're doing a lot of skilling on our teams. Yes. Trying to show them this is the right way of governance so that we get them out there, they're doing the right work. And just recently we launched our framework called the Grace Framework with the Global Council to try to operationalize AI governance for different organizations, businesses, fintechs, and all these kinds of businesses. Okay.

Kenya’s Responsible AI Governance Push

Stella Gichuhi 5:44

Why AI governance? I'm going to push back on that. Why are we ready? I think we should work on the readiness. Right. Because right now, young people are living in the principle of Pablo Picasso, which anything you can imagine is real. So innovation is moving so fast. It is, yeah. And I feel like if we don't start thinking about AI governance right now, it's going to mess us up. Yes. So right now, even we're not talking about policy and innovation. What we're talking about is now the pace that innovation is moving and AI governance is not the same. So how do we make them keep up? Oh, okay. Okay. So the tech is outpacing, but then this is a tech that is equally beneficial, but equally dangerous to an extent. Therefore, there needs to be that hat that says, guys, we need to govern AI. So are you governing the tech? Are you governing the people? Are you governing the institutions? Help me understand AI governance. So when we talk about air governance, we talk about all things people and all things systems. Okay. Because first thing first, people need to understand the safety measures of using AI. Yes. That's also another method of governance. Right. And also we talk about systems. We need to start training the young people to create innovations that are safer for people to use. Oh, okay. So at the end of the day, it's not about people or about systems. It's about all these inclusive solutions. Um, what does the human being know about AI governance? Or how to use AI. Okay. Or how about the young people? Do they know that there are dangers or risks that come with creating solutions? You know, right now they have crazy ideas and crazy innovations that are coming. And some of these solutions that are coming out, unfortunately, introduce social harm. Uh, your deepfakes, your the images, how you know women are being attacked and AI is starting to replicate the social ills. So I I see I see where all your work is tying up. And in conversations with the other chapters in globally, what is standing out about the African continent? So I realized actually the reason why I became very involved with the Global Council is that I was sitting down and was looking at all these responsible AI initiatives, and I'm seeing the EU, I'm seeing the US, but now I'm sitting, I'm like, where is Africa? Currently, Kenya is the only chapter in Africa. Wow. And uh working on operationalizing AI governance.

Shiphrah Wairima 8:30

Wow.

Stella Gichuhi 8:31

We're trying to help other chapters set up, but at the end of the day, we need to move in a faster space in Kenya. Yes. But we need more people to realize that we need these AI governance systems. So we need to help Uganda, we need to help Rwanda so that we can move in one voice and one accord. And how did you get onto the council? How did you get there? Audacity. Please. Yes. So I was on LinkedIn scrolling and I'm looking at an issue of AI governance, and I'm like, we need to talk about AI safety. And that time I was transitioning from SOC, SOC analyst to AI security research. Okay. And what I really wanted to do is being an advocate for AI safety and AI governance. Got it, got it. And I was looking for all these initiatives that are being started for AI governance. I was like, where's where's Africa? I'm seeing it. Yeah, yeah. So I got to one council and I saw it's the Global Council for Responsibility. And I'm looking at the chapters. I'm like, wait, there's no one African chapter. What do you? Why? Yeah. So that's when I took a very daring step, and I texted the global CEO Carmen, who was very nice, very receptive. And I told her, I'm seeing you've started a really brilliant initiative. Yeah. But I'm not seeing the African faces. I'm not seeing us. Exactly. I'm not seeing us. And you know what she did? She just said, send me your email. And she sent me all the details of what happens in the globe castle. I got to understand what happened. Okay. And then now from there we started working together with Carmen. So audacity. Audacity. Put yourself. Put yourself out there. Put yourself out. If it's not making sense to you, take up the mantle. See the niche. Yeah. Go for it. And you say, and that applies to not just young people because I'm no longer young. But it applies to me as well. You look young. I look young.

Deepfakes AI Clones And Trust

Stella Gichuhi 10:20

My God's grace, Amen. But but why I'm asking that is I hope I don't sound like it's a war on a tangent. We focus so much on young people, young people, young people. What about this other side of the older generation? I don't know the politically correct term. Older adults. Yeah, older adults and adults after 35 because you stop being youth after 35, right? What are we doing for that millennial or that exer? Has the focus been on too many young people? Or I mean, we focus on where the attention is at the time. You focus on the attention. Right now, innovation is at peak. What we are doing for the adult is just making sure that they are aware. Yeah. Like for example, I was hearing a friend of mine who was saying that the mother was conned with a clone. Yeah. Yeah. An AI clone. Exactly. But now, us as maybe children, we need to be very the younger ones, but not children. The younger ones. The younger ones. The younger kids are. Yes, the younger generation just have to make sure that their parents are aware. Yes. Or even having that form of, you know, maybe a code name for your family. Yeah. Where when they listen to your voice, you can say, maybe say the code password. Yeah. So that it's easier for you to know if this is an AI cloned message or an AI cloned person. And we are in that age where AI is moving so fast. Have you seen photos? Like you can create photos right now and you wouldn't know if it's real or not real. Listen, I don't post my children for that reason. I I got to a point. I said, yeah, it's not worth it. It's too scary. It's extremely scary. And we have, you know, there's an election wave coming up, so it's gonna be the, I wanna call it deepfake season. Yes. So yes, I I understand the scare. So as a practitioner, where is cybersecurity coming into what you're doing?

Cybersecurity Careers In The AI Shift

Stella Gichuhi 12:23

Cybersecurity is all in all in the business of air governance. Because when we talk about trust, it's in cybersecurity. When we talk about safety, it's still in cybersecurity. Okay. And we talk about governance, it's more of like what's the safest, secure way to use AI without harming the people. Okay. So governance comes in to bring the human aspect of what the human needs are really needed or how we can meet them. Okay. Right? Just trying to make a balance between technology and the human side. Okay. You're again in your mould very multifaceted, brilliant. So are you seeing? I'm gonna go back to Skilly. Are are enough cybersecurity practitioners and professionals seeing the urgency to understand this AI language, or do you then need to make the case for it and advocate for it from your from your lens? They only get to want to learn about AI when it's almost affecting their jobs. Oh, like right now, the entry levels of cybersecurity, most of them are going to be taken away. By AI? Exactly. And I know most of them are not really aware that that's happening or that's going to happen. So I feel like there needs to be awareness to these talents to understand the wave of AI and how it's going to come forward. So that once you're skilling, you add an ad, like I said, you have to be very strategic when you're upskilling. Yes. When you're doing maybe, if you are in SOC, maybe you are a SOC analyst at Severity Operation Center. Yes, try to understand how AI is coming in. Okay. Use AI as an amplification of whatever you're doing. Okay. If you're doing AI, make sure you learn security. So maybe learn how AI security works. Just make sure there's an add-on of how AI is really going to affect what you're doing and how you can use AI to make whatever you're doing better. Yeah, it's people are at the heart, and that specialist skill is required. Yes, yes, yeah. The the human aspect is really, really important and trying to understand where now technology is coming in and always being aware and being one step ahead. Like, for example, just know how is quantum coming in or all these technologies are coming in. I know there's so much more coming. Yes. And we need to be on the loop and on standby just to see how we can, not how to shift, how to adapt. Now, what is responsibility by design? What does that mean? When you talk about responsibility, is the same way you would tell a kid you should go to school and make sure that they don't meander around and don't go maybe to a friend's house, right? Okay. It's mostly self-awareness. Right. When you talk about responsibility, is us as humans to understand how we can safely use AI and how can we govern it to make sure that we are not also limiting innovation. So responsibility is making sure that whatever we're doing, us as consumers and developers at the same time are using AI to make things better and not to destroy things. In cybersecurity, right now, automations of defenses are good. But now remember. Oh, sorry, automated, of course. Automated defenses. Of course. Okay. So automated defenses are good. Yes. But now remember, the attackers who are using this AI, now these automated attackers, also. So we need to make sure that us as responsible humans, make sure that the innovations we're creating, it's more of the benefit of the humanity and not more of breaking the system. Yeah, because cybersecus has been in different circles I've sat in. How do I break, how do I challenge myself to break system XY? But we want to divert that, no, we want to shift that thinking into actually, no, this can have serious ramifications. Yes, yes. Any cases or examples from countries where you've read and you've said this is chaotic? Not really on the hectic perspective. I think one country I'm really admirant on, yeah, it's China. Uh-huh. I really love that place because I feel like the structures that they've made would actually be, they will be able to manage innovation and governance at the same time.

Shiphrah Wairima 16:52

Okay.

Stella Gichuhi 16:52

Because as much as right now they are putting too much funding on innovation. You think is is there too something as too much? No, they're putting good amount of funding on innovation. And at the end of the day, they are going to schools and telling them you can't use AI on your research. Are you seeing the balance? Like at the end of the day, they are trying to help the students use AI responsibly and use AI for their own benefit. And also helping on the innovation perspective. I have to take a note of that because I was I like academia and I keep reading. So I I want to use it as a mantra. Using AI responsibly when I write any research paper in future. Yeah. Okay, so you're pro-China. I'm China. Where tech is involved. Yes. Who else? I I think right now stick with China. You'll stick with China. Yes. Okay. So on the topic of AI and ethics, I'm very cynical around AI and ethics. Yes. How do we get me and those of us who are cynical around it to believe in ethical AI? It's not that I don't believe in it. No, let me rephrase that. There's cynicism because for me, ethical frameworks developed in the global north, being pushed down to the global majority, don't make sense. Yes. The ethics conversation outside of technology in the African context started in the 70s and 80s. So when a global major global north have been talking about ethics since before I was indicted, even years ago. And then now, as a practitioner, it's yeah, adopt our ethical frameworks and standards or else. That is what I'm struggling with. Okay. There are people who are pro-technologists and people who are not pro-technologists. So people who think that AI will solve maybe problems with cancer. Yeah and there are people who think that we need to limit this AI because it will go wrong. Yeah. Right. But now when we talk about policies, you find like we have the EU Act for cybersecurity and also AI. People and countries are actually using it to create their own policies instead of trying to see how much innovation is happening in their own countries and refining or creating policies that actually fit the African context. So we are actually looking up to the Western countries. I think we should sit down as mature people, mature policymakers, sit down with the innovators and try to understand to strike a balance between innovation and governance at the same time. And if you've read the AIA Act, you should go read it. I have. That's why I forgot about it. One thing, one thing I checked on and it really caught my eye is that there was these ministries and I wasn't seeing the Ministry of Education. And you see, for the for the longest time, education has been a really great barrier because people are coming, students are coming out of campuses, and they know nothing. It's like a rite of passage. Yes. Right? And these are the people we need to be training to create responsible systems. These are the people we want them to come out creating uh solutions that are actually safer for people to use. But now they come out, they see AI, AI, and then now they think, how can I use AI to hack? How can I use AI to create my own company? They're not thinking about how can I make AI safe? How can I create this startup to be safe? Or, you know, such things. So I think everything lies down to policymakers coming down to see what innovators are doing and actually going back to the education systems. Oh so, so, okay. So, because again, ethics and I, AI ethics and I, I've really tried to wrap my head around it, but I think you've answered my question. It's understanding AI ethics back to the context. And I like the point you've raised that the Ministry of Education, a critical key engine and instrument, whatever word you want to call it, to now work with the innovators to think of how they're using AI. And you believe it's being left out? It's being left out because there's so much innovation coming out. Yeah. And with the act, I feel like if you don't get in touch with the innovators, we will put them down. Yeah, we're stifling it. And we don't want to put them down. We want them to create more innovations, but they should create the innovations securely. So we they everybody needs to work together to understand what the other is doing.

AI Red Teaming For Enterprise Security

Stella Gichuhi 21:40

For our tech audience, your CFOs, your CIOs, your CTOs, what is red teaming? What is AI red teaming? AI red teaming for the non-technical people. No, no, not for the non-technical people. So okay. Let's take it. Back a little bit. You're the practitioner in the field. You have a proposal for enterprise, right? You know they need red teaming. Yes. So you're speaking to the CT, the tech savvy team, right? But then they have to present the solution to the person with the purse strings. But then what I'm finding is they all need to sit in the room. Yes. Right. So why do they need red teaming? So two questions. Why do you need red teaming? The value and now just break it down. What is it? Why? And what should enterprise do? Okay. So red teaming is the attacker side of cybersecurity. Okay. Why they need it, it's because you need a sequence of attacks so that you can understand the next attack. You need a sequence of attacks to understand the next attack. Yes. It's like putting yourself in, it's like when you're growing in your career and you have so many stumbling blocks. And when you're mature, you know every bad thing that's going to happen. Oh, yeah. Based on your experience and your early days. Exactly. Okay. So you can be able to maneuver around it because of the previous challenges that you once got. So you have to be in the challenge to understand the challenge. Oh. So are they like synthetic attacks? Yes. Okay. But you can decide to resource from bug bounty. Like you can set your systems out there and give the young people to play around with it, hack with it. And if they get a vulnerability, you give them something. Okay. So you're inviting would-be hackers to push and prod your systems. Yes. So that they can realize where you're you could be paralyzed. Yes, yes. Oh, do we have red teaming? We do have the in the country. Yes. Yeah. Now the problem is most companies are not putting in the budget to include these people. People are not CFOs, and these CIOs are not seeing the benefit of why am I supposed to be having that budget? I don't have that challenge at the moment. Yes, yes. But you need to be facing that challenge consistently to understand the challenge that will come forward. So the CTO, CIO, CFO, that the C-suite of the future has to be proactive. So don't wait to be attacked. Don't wait to be attacked. Because attacks of yesteryear could be managed, but the attacks now could deplete everything and finish up, finish, destroy whole businesses. Yo, yo. So are they so back to now red teaming? Are you seeing a convergence in the SOC team, the cybersec team, and the AI team? Are they meeting in the middle or are they still that team over there, that team over there? What again, from your experience? From my experience, we have separated ourselves for some reason. But talking about AI, with the AI SOC coming in and there's a lot of automation on defense, there's a lot of automation on attacks, right? Yes. So you need to be up to date to understand now which side am I going to be in? Or how am I going to mutate or adapt in what level of career-wise? Okay. Yes. So I feel like there's more collaboration right now with AI coming in because now we need to understand what level of capacity does the SOC need and what level of capacity does their does the attacker need to attack the systems. So you have to think like an attacker. Yes. Prepare like a business owner and innovate like a startup. Yes, at quantum speed at the point because with AI, everything is moving so fast. Wow.

Human In The Loop Versus Automation

Stella Gichuhi 25:50

And from experience in conversations and your circles, what's the biggest system failure you're foreseeing for us as Kenyans, as East Africans? What I see is we've we've talked about biases a lot. But I think something that I foresee is automation on how we bring the human, the human aspect of everything when everything escalates. So as much as we need the human aspect of everything, the AI is moving so fast in a way that we can't automate the human response. Oh, so it's the human in the loop. Yes. So the human in the loop in AI deployment is very important. Yes. Theoretically, we know. But enterprise is like if I get rid of it. Yeah. Yes. And I'm looking, I'm like, I've gotten rid of my 10 humans. The money's back in my pocket. But you've risked automating because if you don't have that specialized skill set to understand why you don't need this person, but you need that person. Yourself. Exactly. So now the bind is how are we going to accept automation human interloop? Because maybe finding or trying to mimic human responses. Yeah. Because we can't do that at a scale. No, you can't. Yes. We just have to embrace the automation and see how we can do it securely. Embrace the automation. But how do you do it securely? How do you embrace and huh? I believe that automation is good. Yes. And the way air is coming, we tend to be putting ourselves doing everything. As much as we are going to be checking all the systems. Oh, yeah. At the end of the day, things are going to be moving fast and it's going to be harder for humans to keep up with air. Of course, of course. Yes. So as much as we're going to have human in the loop, we need the automations. So how do we use the automations to make sure it's secure without the human? So you're pro going without the human. Oh my word. Wow. But you don't have a social scientist. People, people, people, people. Your tech. Your tech, tech, tech, yeah. So we need to converge. So I need to say to you, still need a human here, but you can automate here. But why is it? Because you're talking about AI process. Why exhaust myself? Yes. Well, first of all, I'm keeping somebody's job upskilling because there was a question, an enterprise posed the other day, and they said, if you get rid of all the humans, what is the economic disadvantage? But this there's so many things coming in. Like I feel like we should just keep touch on who we are as humans. I feel like with AI coming in, we might we might start feeling AI generated. Like, for example, when we write posts. Yes. That's why we should try keeping check research skills, critical thing, creativity, tour telling, and having that humor as humans. Yes. But now at the end of the day, we need to use all these human abilities to make sure that we scale up. Okay. So you're pro-automation, but you're also where you're automating, where this person might lose a job, you come around as actually upskill or reskill to come up to the next level. Oh, so it's that balance. Yes. We just need to make sure you're just up to date. And that's why I think right now is that core time where we need a lot of awareness, literacy training, and all this. Yeah, literacy. And I love the fact that you talked about how people past 35 might have been passed in some few informations on automation. So we just need to get them to understand what's up to date and how they can keep up. Yeah. Okay. I'm with you. I'm with you there.

Adaptive Policy That Keeps Up

Stella Gichuhi 29:45

Policy, policy, policy. South Africa used AI to write the AI policy. That was a big red flag, right? What should the policymakers of the future be aware of? Policymakers need to be current and future. Yes. Because AI is now. It's not coming. It's now. Yeah. Yeah. I talk about two things. I'll talk about policymakers getting in touch with the innovators. Right. And I'd talk about policymakers trying to see how the regulations and the innovations can actually be at par and seeing how we can manage AI automations, AI innovations speed to the policies. Because policies were meant to be done yearly or five years' time. So we need to have a way where we can have adaptive regulations or adaptive policies. I agree. So that it's not all about we have to wait for five years. We need to be very adaptive in whatever's coming. And policymakers need to listen to the young people, right? They need to understand what's coming up. Yeah. What are they building? So that whatever policy that they are making will be pro-innovators. Okay. So convergence again. Yes. People need to work as a team. The era of silos cannot sustain, it's not sustainable in the era of AI.

Shiphrah Wairima 31:09

Yes.

Stella Gichuhi 31:10

In your readings, what's one African country doing AI governance and ethics right? Or actually, yes, you said China. So that's why we bring it back. European and African. We've already done China. Okay. It's not right yet. We're not there yet. All 54 countries, none of us are doing it right? Not even our homeland that we have. I built it. No, no, no, no. I feel like we are really out of touch and right now, people just having policies so that they can show investors and startups and people coming in with funding that we have the policies set to manage your capacity, your solutions. But if you check these policies, do they make sense? They don't. Well, the A strategy. That made a lot of sense. Okay. It made a lot of sense. So I come from, okay, we wrote about it, we spoke about it, and we're implementing. That's that's me. What about you? Implementation? So currently, what personally I'm pushing at is operationalizing AI governance. Okay. And making sure businesses understand the AI governance and how to integrate them in their businesses as a forefront as they are continuing. But not to think that we're too and we are not there yet to have policy set for AI governance. So I feel personally I'm working on the operational side. Okay. Yeah. Governance is important. Regulation was inevitable. This AI bill was inevitable. Yes. For me, it was always do you not need to be at a certain level, the level of maturity before you introduce such a regulation? Regulation is we're not uh anarchist people. We're uh we're democracy, so yes, it's it's it's right time. But governance, there's always time for the governance. And right now is the right time for governance, right?

Closing Advice For Youth Leaders Women

Stella Gichuhi 33:14

As we're wrapping up, what would you want our listeners to take? The young people, the C-suites and the women in that order. Young people, C-suites, and the women. Okay, okay. For the young people, yeah, please reskill always be on the know of whatever is going on. Amen. For the C-suites, yeah, listen to the young people, the innovators. These people come bearing knowledge. You have the wisdom, yeah, but now listen to their knowledge so that this intersection can become like a good power, a powerhouse. For the women, yeah, please don't give up. Amen. You can do hard things, yeah, and it's inevitable that you will have so many challenges coming forward and so many things coming your way, but you need to show up, you need to be there, and people are observing what you're doing. So that's the only thing I could tell them. People are observing, just do what you're doing, keep pushing. Sounds amazing, and really, I'm not gonna top up with that. Thank you. You've heard from Shiphrah, young people, C-suites, women, show up, give your best, and that is an AI governance powerhouse from Kenya to the world. That's it from us, Tech Talk Africa speaks to.