02675cam a2200325 i 4500 889030726 TxAuBib 20230731120000.0 220709s2023||||||||||||||||||||||||eng|u 2022019913 9780262047654 HRD 26.95 0262047659 HRD 26.95 TxAuBib rda Broussard, Meredith, author More than a glitch. More than a glitch [BOOK] : confronting race, gender, and ability bias in tech / Meredith Broussard. Cambridge, Massachusetts : The MIT Press, [2023] 234 pages : illustrations ; 24 cm. txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references (pages 193-332) and index. Understanding machine bias -- Recognizing bias in facial recognition -- Machine fairness and the justice system -- Real students, imaginary grades -- Ability and technology -- Gender rights and databases -- Diagnosing racism -- An AI told me I had cancer-- Creating public interest technology -- Potential reboot. The word “glitch” implies an incidental error, as easy to patch up as it is to identify. But what if racism, sexism, and ableism aren’t just bugs in mostly functional machinery—what if they’re coded into the system itself? Meredith Broussard demonstrates in More Than a Glitch how neutrality in tech is a myth and why algorithms need to be held accountable. Broussard, a data scientist and one of the few Black female researchers in artificial intelligence, synthesizes concepts from computer science and sociology. She explores a range of examples: from facial recognition technology trained only to recognize lighter skin tones, to mortgage-approval algorithms that encourage discriminatory lending, to the dangerous feedback loops that arise when medical diagnostic algorithms are trained on insufficiently diverse data. Even when such technologies are designed with good intentions, Broussard shows, fallible humans develop programs that can result in devastating consequences. Broussard argues that the solution isn’t to make omnipresent tech more inclusive, but to root out the algorithms that target certain demographics as “other” to begin with. Provided by publisher. 20230731. Technology Social aspects. Data processing Social aspects. Artificial intelligence Social aspects. Discrimination. Software failures.