Man is born free. Man must be led to live free. And as part of living freely, man / woman must innovate.
Good morning.
My name is Martha Naikowi. I'm a policy analyst at KIPPRA.
My name is Victor Maina. I'm from Mtoto News.
I'm a lawyer. I work with KensLaw Associates.
I’m excited about the mix of representation in the room because, when it comes to formulating policy, you can’t do it alone. Government cannot do it alone.
It’s always important to have inclusivity and other players in the room when formulating policies.
Ultimately, the bulk of these arguments is that the risks of AI outweigh any potential benefits.
How do we position ourselves so that we're actually going for technologies that support our development?
AI lies the same way we lie.
If you regulate AI instead of people, you're solving a very small problem. Is the human neurons that is a problem? Or is it the AI that is a problem?
The advocates of today can go to ChatGPT and tell it, “Make a case for me.”
Incase it fails, can we fall back to our natural intelligence to be able to do the work that we are doing?
Why regulate chat activity when it doesn't even speak in Kalenjin? Which does not even speak in Luo?
A child born today has a name and a date of birth that is captured by the Registrar of Births and Deaths. That is data.
I have talked to scriptwriters I’ve trained before, and they told me they’re learning to use AI to help them write their scripts. So they don’t see AI as a competitor, but they see AI as a tool that they can use to make their work better and a bit faster.
I have an AI tool that is able to attend the meetings on my behalf. It takes notes, and I'm able to later access the notes and pick out any action points out of it.
The keywords that kept coming up were: policy, regulation, and guidelines.
People will be effective in terms of the work that they are doing, be it in the agriculture sector or fintech.
Please stand and go to your side.
My favourite session was the last session because it was a simulation of what the policy formulation stage is like.
The last session that we did to simulate a policy, identifying a problem, then coming up with a possible policy to defeat that problem.
The “aha” moment was how do you try to get the right problem and craft it in the right way, that it can actually be actionable?
I think for us now, it’s really just a learning curve and feedback on how we are going to do the next masterclass event better.