Social biases in digital tech create racist face recognition software and sexist hiring tools, but more data collection isn’t the answer.
Articles on Data ethics
Displaying 21 - 26 of 26 articles
Big tech companies compete over who can gather the most intelligence on their users. Countries like Russia and China turn this information against their citizens.
Tech companies have vowed to do better when it comes to using data ethically, but most ethics initiatives are neither enforced nor enforceable.
Biases are difficult to shed, which makes workplace diversity a powerful and necessary tool for catching unsuspected bias before it has a chance to cause damage.
Parents should inform themselves, and review their and their children’s privacy settings.
DeepMind’s machine learning collaboration with another NHS trust (this time, it’s applying the tech to breast cancer) kicks up more questions of trust.
Top contributors
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Associate Professor, Faculty of Law & Justice; Lead, UNSW Public Interest Law & Tech Initiative, UNSW
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Associate Professor, School of Law, University of Canberra
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Professor in Business Information Systems, University of Sydney
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Professor in Cultural and Social Analysis, Western Sydney University
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Full Professor, Criminology, L’Université d’Ottawa/University of Ottawa
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Associate Professor, Information and Media Studies, Western University
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Lecturer in Design Policy, Lancaster University
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Assistant Professor of Governance, Utrecht University
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Professor of Law and Co-Leader of The eQuality Project, L’Université d’Ottawa/University of Ottawa
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Associate Professor of Public Affairs and Administration, Rutgers University - Newark
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Senior Lecturer – Security, University of Sydney
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Co-Director, Young and Resilient Research Centre/Professorial Research Fellow, Institute for Culture and Society, Western Sydney University
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Adjunct professor, Carleton University
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Professor of Digital Society, University of Sheffield
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Research Associate, Frank Church Institute, Boise State University