Amba Kak, executive director of the AI Now Institute, an AI research nonprofit, said lawmakers should be cognizant of the regulatory tools and frameworks already in place to address risks.

In testimony prepared for Wednesday, Kak will recommend prioritizing data privacy — in particular, passing “strong, legally enforceable data minimization mandates,” such as the ones included in the American Data Privacy Protection Act (ADPPA).

Kak said that countries with data privacy laws have been able to “act very quickly” in response to privacy concerns after the public release of OpenAI’s ChatGPT and other large-scale AI systems.

“In stark contrast, I think, while enforcement agencies are doing all they can using existing authorities and fairly limited resources in the U.S., the U.S. has in good contrast been limited in its ability to respond similarly to this moment in the absence of such a law,” Kak said.

Kak said there is a chance now for lawmakers and regulators to take action before AI systems are “already entrenched in a particular trajectory.”

“Now is the moment to emphasize that there’s nothing about the current path that technology is on that is inevitable, and that we need strong data privacy laws and strong competition frameworks to … make sure that the trajectory of AI technologies is shaped in the public interest and not not solely by a handful of corporate actors that are ultimately only going to be driven by commercial incentives,” Kak added.

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