New Why

"The reason diversity is really important in AI, not just in data sets but also in researchers, is that you need people who just have this social sense of how things are. We are in a diversity crisis for AI. In addition to having technical conversations, conversations about law, conversations about ethics, we need to have conversations about diversity in AI. We need all sorts of diversity in AI. And this needs to be treated as something that’s extremely urgent." - Timnit Gebru

“We’re in a diversity crisis”: cofounder of Black in AI on what’s poisoning algorithms in our lives Timnit Gebru looks around the AI world and sees almost no one who looks like her. That’s a problem for all of us.

What's the most unsettling interaction you've had with AI? For Natalie it was realizing that not only does it "hallucinate" facts, it also hallucinates its own self knowledge in ways that eerily mimic humans' own self-delusions.

A Hallucination of Beneficence - When AI Wants to Please, Above All Else Natalie recounts a recent interaction with ChatGPT, when it promised something it couldn't deliver and set up an elaborate lie to cover it.

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