Additional information
by Josh Cowls (Editor)
This text interrogates the notion and considers the implication that AI functionally could and ethically should be harnessed for 'socially good' purposes. It includes an introduction, as well as research articles followed by commentaries. It appeals to students and researchers working in or interested in philosophy of technology.
Previously published in Philosophy & Technology Volume 34, supplement issue 1, November 2021
Chapters Artificial Intelligence for Social Good and Testing the Black Box: Institutional Investors, Risk Disclosure, and Ethical AI are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
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This text interrogates the notion and considers the implication that AI functionally could and ethically should be harnessed for 'socially good' purposes. It includes an introduction, as well as research articles followed by commentaries. It appeals to students and researchers working in or interested in philosophy of technology.
Previously published as a Special Issue in the journal: Philosophy & Technology "Artificial Intelligence for Social Good"
Chapters Artificial Intelligence for Social Good and Testing the Black Box: Institutional Investors, Risk Disclosure, and Ethical AI are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Author Biography
Josh Cowls is a Research Associate in Data Ethics at The Alan Turing Institute and a member of the Institute's public policy programme, where he works with government bodies to translate principles of digital ethics into practice for policymakers. A Turing Doctoral Student, Josh's research agenda centers on democratic decision-making in the digital era, and he is the author or co-author of work on AI ethics, state surveillance, online agenda-setting and the use of web archives, in publications such as New Media & Society, Minds and Machines, and in numerous edited volumes.
