http://www.rssboard.org/rss-specification 720 https://escholarship.org/uc/imtfi_co_rw/rss Recent eScholarship items from Recent Works Wed, 1 Jul 2026 03:43:54 +0000 https://escholarship.org/uc/item/4s85826f Machine learning (ML) algorithms and the artificial intelligence (AI) systems that they enable are powerful technologies that have inspired a lot of excitement, especially within large business and governmental organizations. In an era when increasingly concentrated computing power enables the creation, collection, and storage of “big data,” ML algorithms have the capacity to identify non-intuitive correlations in massive datasets, and as such can theoretically be more efficient and effective than humans at using those correlations to make accurate predictions. However, biases can be encoded in the datasets on which ML algorithms are trained, arising from poor sampling strategies, incomplete or erroneous information, and the social inequalities that exist in the actual world. Additionally, the inherent complexities of ML algorithms that defy explanation even for the most expert practitioners can make it difficult, if not impossible, to identify the root causes of unfair decisions.... https://escholarship.org/uc/item/4s85826f Mon, 28 Oct 2024 00:00:00 +0000 Rea, Stephen C