David Robinson

@dgrobinson
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Author of "Voices in the Code," book on democratizing AI: http://amzn.to/3JtsHkg Faculty
at Apple University. Plugged in at UC Berkeley's AFOG and Social Science Matrix.
Next was an excellent panel on #AI #bias prevention at the #RhodesTrust with Elaine Nsoesie, @dgrobinson, and Muhammed Razzak. The topics covered here, from equity to algorithm design to prioritizing particular bias problems, are expansive and treated with the care they deserve. Highly recommend https://www.youtube.com/watch?v=yH76s6BIi7c (7/12) #AIEthics
Tech & Society 2022: 6A. Equity: Bias Prevention, not just Mitigation

YouTube
I used ChatGPT to help me write a peer review. It didn't help at all. There is a big difference between being really cool and being a useful tool. This experience provides some lessons for how we should evaluate LLMs and other new AI. https://freedom-to-tinker.com/2023/03/08/can-chatgpt-and-its-successors-go-from-cool-to-tool/
Can ChatGPT—and its successors—go from cool to tool?

Anyone reading Freedom to Tinker has seen examples of ChatGPT doing cool things.  One of my favorites is its amazing answer to this prompt: “write a

Freedom to Tinker

"By using digital surveillance to enforce rules, we focus our attention on an apparent order that allows us to ignore the real problems in the industry ... But under the actual order, the problem in trucking is that drivers are incentivized to work themselves ... to death."

Karen Levy on trucker trackers: https://www.newyorker.com/culture/annals-of-inquiry/surveillance-and-the-loneliness-of-the-long-distance-trucker?mc_cid=adccaf6bf5&mc_eid=94ccaa1b3c

i'm here too.
toot toot.