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Adapting financial oversight to AI development, Arpit Gupta notes

Adapting financial oversight to AI development, Arpit Gupta notes
Finance tools for AI oversight frameworks

Arpit Gupta outlines key elements from financial regulatory frameworks that could be adapted for artificial intelligence oversight.

Suggested measures include KYC and AML procedures, clawback provisions in cases of disaster, supervisory exams, model risk management, stress testing, strict liability and torts, insurance markets for disaster risks, capital buffers, living wills, and the involvement of independent auditors.

Gupta has previously analyzed institutional challenges, citing a 2014 Bain report showing Syracuse University’s costs outpaced revenues. He has also discussed the role of predicting turbulence in formalizing economic decisions in earlier commentary (read more). These topics reflect a focus on risk management and systemic efficiency in financial and economic systems.

This material may contain third-party opinions, none of the data and information on this webpage constitutes investment advice according to our Disclaimer. While we adhere to strict Editorial Integrity, this post may contain references to products from our partners.

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