Artificial intelligence (AI) is increasingly impacting many aspects of people's lives across the globe, from relatively mundane technology to more advanced digital systems that can make their own decisions. While AI has great potential, it also holds great peril depending on how it is designed and used. AI for Diversity questions how AI technology can lead to inclusion or exclusion for diverse groups in society. The way data is selected, trained, used, and embedded into societies can have unfortunate consequences unless we critically investigate the dangers of systems left unchecked, and can lead to misogynistic, homophobic, racist, ageist, transphobic, or ableist outcomes. This book encourages the reader to take a step back to see how AI is impacting diverse groups of people and how diversity-awareness strategies can impact AI.
Rezensionen / Stimmen
"The book is written in a really approachable way for non-specialists and will engage introductory and interdisciplinary audiences. The sections on gender and queering AI are particularly strong, and the book is a highly worthy and important contribution for those chapters alone." --Ashley Shew, Associate Professor, Virginia Tech
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Academic, Postgraduate, Professional, Professional Practice & Development, Undergraduate Advanced, and Undergraduate Core
Illustrationen
10 s/w Abbildungen, 8 s/w Photographien bzw. Rasterbilder, 2 s/w Zeichnungen
2 Line drawings, black and white; 8 Halftones, black and white; 10 Illustrations, black and white
Maße
Höhe: 198 mm
Breite: 129 mm
Dicke: 7 mm
Gewicht
ISBN-13
978-1-032-07356-9 (9781032073569)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Roger A. Soraa is an Associate Professor at the Department of Interdisciplinary Studies of Culture at the Norwegian University of Science and Technology (NTNU), in Trondheim, Norway. His main research interests are the digitalization and robotization of society and its ethical, gendered, and epistemological consequences. He leads the Digitalization and Robotization of Society research group and coordinates several research projects, including the Horizon Europe project "BIAS: Mitigating Diversity Biases in the Labor Market."
1.Opening the Black Box of AI. 2. Gendered AI: performativity, expectations, and sexism. 3. Queering AI: gender expression, identity, and binaries. 4. AI and Race: recognition, bias, and systemic issues. 5. Bodies and AI: Health, ageing, and disabilities. 6. AI and Class: socioeconomic issues reproduced by technology. 7. Intersectionality and Responsible AI.
