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.

• ‘AI for Social Good’: Whose Good and Who’s Good? Introduction to the Special Issue on Artificial Intelligence for Social Good.- Artificial Moral Agents Within an Ethos of AI4SG.- In the Frame: the Language of AI.- Artificial Interdisciplinarity: Artificial Intelligence for Research on Complex Societal Problems.- Engineering Equity: How AI Can Help Reduce the Harm of Implicit Bias.- Beyond a Human Rights-Based Approach to AI Governance: Promise, Pitfalls, Plea.- Testing the Black Box: Institutional Investors, Risk Disclosure, and Ethical AI.- How to Handle Armed Conflict Data in a Real-World Scenario?.

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.

• ‘AI for Social Good’: Whose Good and Who’s Good? Introduction to the Special Issue on Artificial Intelligence for Social Good.- Artificial Moral Agents Within an Ethos of AI4SG.- In the Frame: the Language of AI.- Artificial Interdisciplinarity: Artificial Intelligence for Research on Complex Societal Problems.- Engineering Equity: How AI Can Help Reduce the Harm of Implicit Bias.- Beyond a Human Rights-Based Approach to AI Governance: Promise, Pitfalls, Plea.- Testing the Black Box: Institutional Investors, Risk Disclosure, and Ethical AI.- How to Handle Armed Conflict Data in a Real-World Scenario?.

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.

• ‘AI for Social Good’: Whose Good and Who’s Good? Introduction to the Special Issue on Artificial Intelligence for Social Good.- Artificial Moral Agents Within an Ethos of AI4SG.- In the Frame: the Language of AI.- Artificial Interdisciplinarity: Artificial Intelligence for Research on Complex Societal Problems.- Engineering Equity: How AI Can Help Reduce the Harm of Implicit Bias.- Beyond a Human Rights-Based Approach to AI Governance: Promise, Pitfalls, Plea.- Testing the Black Box: Institutional Investors, Risk Disclosure, and Ethical AI.- How to Handle Armed Conflict Data in a Real-World Scenario?.