New Data on AI Policy and Governance

The Stanford University: Human-Centered Artificial Intelligence center’s 2024 AI Index has been released. It collects and shares highly relevant data to the broad field of AI, covering topics ranging from latest investments in AI research and development, AI in fields such as science, medicine and education, as well as latest updates in regulation throughout the world.

Two topics that I am particularly interested in are “Responsible AI” and “Policy and Governance”. These are two topics that I intend to deep dive in and share my learning in this space over the next few months. To begin with, here is some interesting data regarding “Policy and Governance” that the report highlights:

  • In 2023, the US had 25 AI related regulations
  • 21 regulatory agencies issued AI-related regulations, including those such as the Department of Transportation and the Occupational Safety and Health Administration.

Apart from these regulations, there were two big regulatory framework announcements that captured a lot of attention over the last few months:

Apart from the US and Europe, there’s been plenty of interest across the globe on AI regulation. This is a nascent field and I expect a lot more activity in the near future.

I intend to dig into the AI policy and regulation space a lot more in the coming months. It is fascinating because it overlaps so many complex and nebulous topics: regulation vs free market, objective evaluation of AI models, figuring out frameworks for measuring fairness and responsibility etc.

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