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Francine Bennett uses data science to make AI more responsible | TechCrunch

Mar 03, 2024 - techcrunch.com
TechCrunch is launching a series of interviews focusing on women who have significantly contributed to the AI revolution. This interview features Francine Bennett, a founding member of the board at the Ada Lovelace Institute and its interim Director. Bennett, who previously worked in biotech and co-founded a data science consultancy, discusses her journey into AI, her proudest achievements, and how she navigates the male-dominated tech industry. She also offers advice to women seeking to enter the AI field and discusses the pressing issues facing AI as it evolves.

Bennett emphasizes the importance of a shared vision for AI's role in society and the need for a diverse range of people to be involved in its development. She also highlights the need for AI users to understand the tools they are using and for the government and industry to create conditions for user confidence. Bennett believes the best way to build AI responsibly is to consider the potential societal impacts before implementation and to be willing to stop or change direction if necessary. She also suggests that investors can push for responsible AI by asking critical questions about their investments.

Key takeaways:

  • TechCrunch is launching a series of interviews focusing on remarkable women who’ve contributed to the AI revolution, with Francine Bennett, a founding member of the board at the Ada Lovelace Institute, being one of them.
  • Francine Bennett is most proud of her work that uses AI to improve people's lives, such as using machine learning to find patterns in patient safety incident reports at hospitals.
  • She advises women seeking to enter the AI field to enjoy the intellectually challenging and constantly evolving field, and not to worry about knowing every single technical aspect.
  • She believes that one of the most pressing issues facing AI is the lack of a shared vision of what we want AI to do for us and what it can and can’t do for us as a society, and emphasizes the importance of diverse teams in AI development.
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