Artist, AI & data governance, Icarus Salon (she/her) https://xitter.cf/t.co/fVTKaVYurq performing over tiktok & insta
- Tweets7.4K
- Following3.6K
- Followers3.3K
- Likes9.2K
ALT Photo of the paper abstract, which says: "Why ‘open’ AI systems are actually closed, and why this matters David Gray Widder, Meredith Whittaker & Sarah Myers West Nature volume 635, pages827–833 (2024)Cite this article 8782 Accesses 49 Altmetric Metricsdetails Abstract This paper examines ‘open’ artificial intelligence (AI). Claims about ‘open’ AI often lack precision, frequently eliding scrutiny of substantial industry concentration in large-scale AI development and deployment, and often incorrectly applying understandings of ‘open’ imported from free and open-source software to AI systems. At present, powerful actors are seeking to shape policy using claims that ‘open’ AI is either beneficial to innovation and democracy, on the one hand, or detrimental to safety, on the other. When policy is being shaped, definitions matter. To add clarity to this debate, we examine the basis for claims of openness in AI, and offer a material analysis of what AI is and what ‘openness’ in AI can
ALT Generative Artificial Intelligence (AI) is a potentially important new technology, but its impact on the economy depends on the speed and intensity of adoption. This paper reports results from the first nationally representative U.S. survey of generative AI adoption at work and at home. In August 2024, 39 percent of the U.S. population age 18-64 used generative AI. More than 24 percent of workers used it at least once in the week prior to being surveyed, and nearly one in nine used it every workday. Historical data on usage and mass-market product launches suggest that U.S. adoption of generative AI has been faster than adoption of the personal computer and the internet. Generative AI is a general purpose technology, in the sense that it is used in a wide range of occupations and job tasks at work and at home.