Social biases in digital tech create racist face recognition software and sexist hiring tools, but more data collection isn't the answer.
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Articles on Data ethics
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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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Professor in Cultural and Social Analysis, Western Sydney University
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Principal Research Fellow - Digital, Social and Cultural Research, Western Sydney University
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Professor of Mathematics, Western Sydney University
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Lecturer in eHealth, University of Kent
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Associate Professor in Data Science, Western Sydney University
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Research Associate, Frank Church Institute, Boise State University
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Senior Lecturer in Media and Communications, University of Westminster
