Artificial intelligence poses opportunities as well as dangers; understanding them – and regulating carefully – will help avoid harm to individuals and society as a whole.
Articles on Algorithmic bias
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A new tool called Biometric Mirror exposes the need for public debate about the ethics of AI.
Information on social media can be misleading because of biases in three places – the brain, society and algorithms. Scholars are developing ways to identify and display the effects of these biases.
Top contributors
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Professor of Information Systems, Michigan State University
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Professor of Information Science, University of Washington
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Professor of Informatics and Computer Science, Indiana University
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Professor of English, Macalester College
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Senior lecturer in Law, Brunel University of London
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Assistant Professor of Communication, University of Arizona
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Adjunct Associate Professor, School of Social Sciences, Linguistics, The University of Western Australia
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Postdoctoral Researcher in Data Science, University of Oxford
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Kyle Webster has just completed an internship in the Office of the Prime Minister’s Chief Science Advisor, focussing on Artificial Intelligence. , University of Auckland, Waipapa Taumata Rau
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Senior Lecturer in Philosophy, University of the Witwatersrand
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Associate Professor of Industrial & Manufacturing Engineering and Computer Science & Engineering, Penn State
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Senior Research Fellow, Applied Ethics Center, UMass Boston
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Ph.D. Student in Linguistics & Germanic, Slavic, Asian and African Languages, Michigan State University
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Professor, Real Estate, Université du Québec à Montréal (UQAM)
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Professor of Information Technology and Organisation, University of Sydney