While efforts to make “AI” more “open” have gained momentum lately, it seems like both concepts are worth scrutinizing and historicizing so that we can better understand how these marketing terms become a focus (and distraction), as material conditions are downplayed. With David Gray Widder, we discuss where “ethics” are located and how “AI” workers of all kinds imagine responsibility to be someone else’s problem, or somewhere else down the chain. Recorded Sept 12, 2023. Released Oct 23, 2023.

The Myth of ‘Open Source’ AI

https://www.wired.com/story/the-myth-of-open-source-ai/

Open (For Business): Big Tech, Concentrated Power, and the Political Economy of Open AI

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4543807

Limits and Possibilities for “Ethical AI” in Open Source: A Study of Deepfakes

https://davidwidder.me/deepfakes.pdf

Dislocated accountabilities in the “AI supply chain”: Modularity and developers’ notions of responsibility

https://davidwidder.me/supply-chain.pdf

Computer scientists designing the future can’t agree on what privacy means

https://www.technologyreview.com/2023/04/03/1070665/cmu-university-privacy-battle-smart-building-sensors-mites/

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