In fast-evolving industries, how can organizations implement dynamic, real-time oversight to ensure AI systems comply with shifting regulatory standards and societal norms, while still fostering innovation and avoiding bureaucratic bottlenecks?
This means continuously monitoring AI systems to ensure they follow ethical, legal, and safety standards without stifling creativity or slowing progress.
I think real time AI oversight is tricky but doable. We need simple rules that keep AI safe and legal without slowing down new ideas. Using smart tools to check AI as it runs helps a lot. This way, we can innovate fast while staying responsible.
Dear Anil Shukla ,
As part of the reconciliation bill, the House Energy and Commerce Committee advanced 10-year moratorium that would block states from creating or enforcing any laws that regulate AI systems, models, or automated decision-making tools. The initiative aims to prevent a patchwork of laws across 50 states that could complicate compliance and slow national innovation. While the moratorium advanced in the House, its path in the Senate is uncertain. While no one wants a fragmented regulatory patchwork, achieving a well-balanced AI national framework won’t be easy.
https://www.americanactionforum.org/insight/regulatory-approaches-to-ai-balancing-innovation-and-oversight/
Regards,
Shafagat
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