Spoke for Product Managers, Developers on Framework Fatigue in AI Governance at Hyderabad!

From Abhivardhan, our Chairperson

Had a short, and sweet trip at lovely Hyderabad this weekend.

At the kind invite of 42.ai, and Simrin Kapoor, I had spoke for an audience of developers, people running & building AI workflows, and even those who shaping their focus to get into the AI domain, and product managers at Lamakaan last Saturday.

So, here's what I had discussed: Framework Fatigue in AI Governance.

Across the world, endless regulatory, ethical, legal, market-related and industry-policy documents on artificial intelligence have been published. Sometimes one can lose the count of all of it, even if we get gaga over it.

The fun and sad part of it is that for product managers, AI governance professionals, and even people who build such technologies by any virtue, will not be able to go through every single compliance/ guidance document around AI governance.

Another fun part one must realise is that artificial intelligence governance, irrespective of the impact of the EU AI Act, has facets which are tailor-made, except those which are generalised around data-related and privacy-related practices.

Since every AI system deployed need not be high-risk per se, and the industry is still coping up with the fact that there is no moat around AI right now under the LLM-research pivot (even OpenAI never had one), despite owning too much compute, AI governance practices will diversify.

Through this workshop, I tried my best to emphasise that one cannot deny that just because regulations ain't coming in India on AI, AI governance would be dead.

Not happening. The DPDPA will be implemented, including their rules in months, and not years. There will be adjudicatory issues around AI use. And to face that confusion - one should at least be prepared at a basic level, let's say.

Here's the report I had presented in that session as well, feel free to read it: https://indopacific.app/product/iplr-ig-013/