A Data Science Take on Open Policing Data
Linear Digressions13 Juli 2020

A Data Science Take on Open Policing Data

A few weeks ago, we put out a call for data scientists interested in issues of race and racism, or people studying how those topics can be studied with data science methods, should get in touch to come talk to our audience about their work. This week we’re excited to bring on Todd Hendricks, Bay Area data scientist and a volunteer who reached out to tell us about his studies with the Stanford Open Policing dataset.

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Avsnitt(323)

Constitutional AI

Constitutional AI

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A Data-Driven Reality Check on AI in Business (Interview with Tom Davenport, Babson College)

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31 Aug 40min

Understanding AI Text Watermarking

Understanding AI Text Watermarking

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24 Aug 29min

Better Know a Benchmark: Humanity's Last Exam

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17 Aug 23min

A Scientific Deep Dive into Overconfident LLMs: Interview with Kaitlyn Zhou (Cornell)

A Scientific Deep Dive into Overconfident LLMs: Interview with Kaitlyn Zhou (Cornell)

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10 Aug 33min

Reasoning Models: When LLMs Went Beyond Fancy Autocomplete

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3 Aug 25min

Distillation, or, How to Steal a Model

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27 Juli 23min

Invisible LLM Failures and AI Fluency with Chris Potts (Stanford)

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What happens when a Stanford linguistics professor turns his attention to AI chatbots — and the surprisingly invisible ways humans misunderstand them? Chris Potts joins the show to unpack the hidden f...

20 Juli 41min

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