Open, with David Gray Widder

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’ AIhttps://www.wired.com/story/the-myth-of-open-source-ai/ Open (For Business): Big Tech, Concentrated Power, and the Political Economy of Open AIhttps://papers.ssrn.com/sol3/papers.cfm?abstract_id=4543807 Limits and Possibilities for “Ethical AI” in Open Source: A Study of Deepfakeshttps://davidwidder.me/deepfakes.pdf Dislocated accountabilities in the “AI supply chain”: Modularity and developers’ notions of responsibilityhttps://davidwidder.me/supply-chain.pdf Computer scientists designing the future can’t agree on what privacy meanshttps://www.technologyreview.com/2023/04/03/1070665/cmu-university-privacy-battle-smart-building-sensors-mites/ Hosted on Acast. See acast.com/privacy for more information.

Om Podcasten

Hi everyone, my name is Mél Hogan and I’m a critical media studies scholar based in Canada. I’m working on a project called The Data Fix through a series of conversations with scholars, thinkers and feelers. Together we explore the significance of living in a world of data, and especially the growing trend of “digital humans” in the form of chatbots, holograms, deepfakes, ai images and videos, and even tech that revives the dead. The conversations are minimally edited, and serve as an archive of the collective thinking and feeling that is going into the Data Fix project. Please see thedatafix.net for more details and show notes. Thank you so much for listening.  Hosted on Acast. See acast.com/privacy for more information.