The books suggested below explores various themes related to Artificial Intelligence and data ethics, including topics such as bias, the ethical and social implications of AI, and automated decision-making on issues like social justice, inequality, discrimination, inclusivity, and the protection of basic rights.
“Without AI, medical technology wouldn’t have come so far, we’d still be getting lost on backroads in our GPS-free cars, and smartphones wouldn’t be so, well, smart. But as we continue to build more intelligent and autonomous machines, what impact will this have on humanity and the planet?”
A sequel to Ford’s New York Times best seller, Rise of the Robots: Technology and the threat of a jobless future (2015), Ford:
“… argues that AI is a uniquely powerful technology that is altering every dimension of human life, often for the better. For example, advanced science is being done by machines, solving devilish problems in molecular biology that humans could not, and AI can help us fight climate change or the next pandemic. It also has a capacity for profound harm.”
“In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile.”
"This study argues that [artificial intelligence] is neither artificial nor particularly intelligent. . . . A fascinating history of the data on which machine-learning systems are trained."—New Yorker
“It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.”
For a useful list of even more further reading, visit the Bookshop.org page here.
