Panelist Triveni Gandhi

Triveni Gandhi

Dataiku

U.S.

Triveni Gandhi is a Jill-of-all-trades data scientist, thought leader, and advocate for the responsible use of AI who likes to find simple solutions to complicated problems. As responsible AI lead at Dataiku, she builds and implements custom solutions to support the responsible and safe scaling of artificial intelligence. Previously, Gandhi worked as a data analyst at a large nonprofit dedicated to improving education outcomes in New York City. She has a doctorate in political science from Cornell University.

Voting History

Statement	Response
Most RAI programs are unprepared to address the risks of new generative AI tools. Neither agree nor disagree	“The key concepts in responsible AI — such as trust, privacy, safe deployment, and transparency — can actually mitigate some of the risks of new generative AI tools. The general principles of any RAI program can already address baseline issues in how generative AI is used by businesses and end users, but that requires developers to think of those concerns before sharing a new tool with the public. As the pace of unregulated development increases, existing RAI programs may be unprepared in terms of the specialized tooling needed to understand and mitigate potential harm from new tools.”

Statement

Response

Most RAI programs are unprepared to address the risks of new generative AI tools. Neither agree nor disagree

“The key concepts in responsible AI — such as trust, privacy, safe deployment, and transparency — can actually mitigate some of the risks of new generative AI tools. The general principles of any RAI program can already address baseline issues in how generative AI is used by businesses and end users, but that requires developers to think of those concerns before sharing a new tool with the public. As the pace of unregulated development increases, existing RAI programs may be unprepared in terms of the specialized tooling needed to understand and mitigate potential harm from new tools.”