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Goldman Sachs CEO Says Individuals Must Be Held Accountable for AI Failures

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Goldman Sachs CEO Says Individuals Must Be Held Accountable for AI Failures

The principles Goldman Sachs uses to manage risk could be applied to artificial intelligence oversight, Goldman Sachs Chair and CEO David Solomon wrote in an article published Thursday (Oct. 22) by the Financial Times.

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The principles include holding individual decision makers accountable for the outcomes produced by their systems; understanding the risks inherited from the model developers; routinely stress testing AI systems; and rewarding employees for raising concerns when they spot AI vulnerabilities, Solomon wrote.

The principles could be used by both the developers of AI and the companies that deploy the technology, Solomon wrote.

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“The choice is not between innovation and safety,” Solomon wrote. “It’s between poorly governed experimentation and progress built on accountability, trust and confidence.”

Solomon’s article came at a time when there is widespread debate about how to balance innovation and AI safety.

Sen. Maria Cantwell of Washington, the ranking member on the Commerce, Science and Transportation Committee, unveiled a framework for regulating frontier AI Oct. 7 in a possible preview of a federal regulatory push should Democrats take control of Congress in November, PYMNTS reported.

Weeks after agreeing on a voluntary program to allow outside evaluators to see inside their labs, OpenAI and Anthropic are seeking to control what the evaluators can do with the information they gather, PYMNTS reported Oct.


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