Gary Gensler, the U.S. Securities and Exchange Commission (SEC) chairperson, has expressed serious concern for AI technology, calling it a serious threat to financial markets.
Gensler Pivoting Regulatory Eye To AI
Under the leadership of its chairperson, the SEC has shifted its focus from cryptocurrency to artificial intelligence (AI), recognizing it as a technology that “warrants the hype.” Gensler, who previously dealt with crypto industry scams and fraud, now views AI as the most transformative technology of this generation and warns of the risks it may pose if not properly regulated.
Gensler emphasizes that mass automation driven by AI can have far-reaching implications for the trillions of dollars in assets traded on SEC-regulated markets.
While AI’s predictive capabilities can benefit firms in better serving their clients, there’s a concern that it might also be used to obscure responsibility when things go wrong, potentially leading to significant market risks.
A Long-Standing Interest In AI Technology
Gary Gensler has a well-established history with AI, dating back to 1997 when he first delved into it after witnessing Russian chess grandmaster Garry Kasparov’s defeat against IBM’s supercomputer, Deep Blue. His involvement with AI deepened during his tenure as an MIT professor, leading to his co-authoring a 2020 paper, “Deep Learning and Financial Stability,” that examined the risks posed by deep learning to the financial system.
He claimed that existing financial laws do not have the capacity to address the dangers of algorithmic deep learning. He believes that developers can create AI functions without any limits, and these functions might work against fair market ethics.
Calls for Better Regulation
Gensler asserts that existing regulatory frameworks are ill-equipped to manage the risks associated with AI. He highlights the potential challenges of coordinating AI models among major trading houses, which could lead to increased market volatility and instability. To address the conflict, Gensler has proposed one of the first regulatory frameworks for AI, urging trading houses and money managers to assess whether their use of AI or predictive data could create conflicts of interest.
No Loosening of Crypto Enforc
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Author: Amara Khatri
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