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SEC's Gensler warns of AI risk to financial stability

Sep 12, 2023 - americanbanker.com
Gary Gensler, chairman of the Securities and Exchange Commission (SEC), warned during a Senate Banking Committee hearing that overreliance on artificial intelligence (AI) in financial decision-making could pose a systemic risk. Gensler noted that AI is already extensively used in finance, including in robo advising, brokerage apps, and by sophisticated investors. While acknowledging the positive outcomes of AI use, such as market efficiency and regulatory compliance, he also pointed out potential risks, including conflicts in the markets and the possibility of a financial crisis if everyone in the mortgage market relies on one model.

Gensler also mentioned a proposed SEC rule to prohibit securitization participants from engaging in transactions that could incentivize them to prioritize their interests over those of asset-backed security investors. This proposal has faced criticism from the financial industry, with some arguing it would hinder ordinary business activities, including risk-mitigating trades. Gensler, however, maintains a "technology-neutral" stance, emphasizing the need to address potential conflicts of interest, regardless of whether machine learning or other data analytics are used.

Key takeaways:

  • Gary Gensler, chairman of the Securities and Exchange Commission, warned that over-reliance on artificial intelligence in financial firms could pose a systemic risk and potentially cause a financial crisis.
  • Gensler acknowledged that AI has positive outcomes such as market efficiency and regulatory compliance, but also pointed out risks, including conflicts in the markets and over-reliance on a single model.
  • The SEC has proposed a conflict of interest rule, which has been heavily criticized by the financial industry, as it could potentially limit firms' ability to engage in risk-mitigating trades and hedging.
  • Gensler's interest in AI and its impact on financial stability predates his term at the SEC, having co-authored a paper on the subject in 2020 while at the Massachusetts Institute of Technology Sloan School of Management.
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