AI in Finance: How to Approach Financial Regulation

Knowledge at Wharton

Episode Description

"The Regulatory Challenges of AI in Finance": Episode 3 of 4 in our "Future of Finance" series, hosted by Wharton School finance professor Itay Goldstein

Artificial intelligence is transforming the world of investing. Financial leaders are looking to AI technology to identify and create new sources of value – but at what risk?

In this episode, host Itay Goldstein discusses the benefits of AI in the investment industry – and the ways AI might lead to unintentional collusion. Goldstein is joined by Tobias Adrian, Financial Counsellor and Director of the Monetary and Capital Markets Department of the International Monetary Fund).

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Brief Summary

Itay Goldstein and Tobias Adrian discuss AI's impact on finance, focusing on opportunities, risks, and regulatory challenges.

Key points

  • AI's Impact on Finance. AI is reshaping finance through algorithmic trading and generative models, but risks remain.
  • The Black Box of AI. Generative AI presents challenges in understanding decision-making processes and accountability.
  • Regulatory Challenges Ahead. Regulators face difficulties in defining and quantifying the risks posed by AI in finance.
  • AI Regulation in Finance. Exploring the need for explainability in AI-driven decision making in finance.
  • Fairness and Ethics in AI. Singapore's principles focus on responsible AI usage to combat bias.
  • GDPR and AI. The adaptation of GDPR to AI practices enhances data protection.

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