ABSTRACT

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.

chapter 1|20 pages

Opening the Black Box of AI

chapter 2|18 pages

Gendered AI

Performativity, Expectations, and Sexism

chapter 3|10 pages

Queering AI

Gender Expression, Identity, and Binaries

chapter 4|11 pages

AI and Race

Recognition, Bias, and Systemic Issues

chapter 5|22 pages

Bodies and AI

Health, Aging, and Disabilities

chapter 6|16 pages

AI and Class

Work, Education, and Sustainability

chapter 7|17 pages

Intersectionality and Responsible AI