Almost exactly one year ago, Timnit Gebru, one of the leaders of Google’s ethics in AI team and one of the foremost experts in that topic, was fired after sending an email of concern to her team. Now she has set up shop herself with a brand new research institute, DAIR, focused on the topics […]
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3 founders share strategies for navigating bias and building confidence
Entrepreneurs from underrepresented groups are more likely to face an uphill climb than their white, male counterparts, but their challenges stretch beyond systemic bias and lack of access to capital.
How one professor changed the culture of mathematics for his students
Later, as a professor, he noticed a pattern. Ardila’s Black, Latino, and women students who went on to Ph.D. programs also told stories of isolation and exclusion…so Ardila…set out to create, in his own classroom, a new kind of math environment.
F…
A new formula may help black patients’ access to kidney care
Algorithm made it harder for Black patients to qualify for transplants, other treatments.
AI tradeoffs: Balancing powerful models and potential biases
A handful of foundational AI models are emerging that rely upon a magnitude of training data that makes them inherently powerful, but it’s not without risk of harmful biases.
Now that machines can learn, can they unlearn?
Researchers see if they can remove sensitive data without retraining AI from scratch.