Wharton prof, accountable AI guy, crypto nerd, tech policy maven, game thinker, MOOC teacher, Jewish panentheist, pescatarian.
Philly, USA
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Thrilled to launch the Accountable AI Lab (ACAI) at @WhartonAIAI! We’re tackling the critical challenges of AI ethics, governance, and regulation to ensure AI works for society.
Learn more: ai-analytics.wharton.upenn.e…
#WhartonAI #AccountableAI
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Season 6 of The Road to Accountable AI launches with @robertlevitan, a long-time tech entrepreneur who now chairs the Ethical Tech Project. We talk about why trust matters even more with AI than in the early days of the internet.
accountableai.net
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Striking how much more seriously everyone takes Dario Amodei's call for regulation of frontier AI companies than Sam Altman's similar call before Congress a couple years ago.
Not saying Anthropic is pure or perfect, but trust matters. And it has to be earned.
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Making AI safer isn't identical to making AI improve more slowly. And it's easier to see how external evaluations do the former than the latter.
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Has anyone explained what pacing AI actually looks like? Other than safety exams and audits? How does anyone prove the counter factual of how fast AI performance would improve in a non-paced world?
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Every five years I post this remembrance of 9/11, sometimes adding a coda.
The first sentence remains as true as ever.
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The stock market kept going up, despite the financial crisis and the COVID-19 pandemic, and technological innovation continues to be a marvel, most prominently now with the rise of AI.
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