References

• 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
• 2018Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor3,279 cited
• 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms3,179 cited
• 1999Risk and Responsibility1,590 cited
• 2009Science, Policy, and the Value-Free Ideal1,397 cited
• 2008Punishment and Responsibility1,147 cited
• 2018ECHO CHAMBERS AND EPISTEMIC BUBBLES1,114 cited
• 2004The responsibility gap: Ascribing responsibility for the actions of learning automata1,095 cited
• 2020AI Ethics939 cited
• 2010A General Theory of Domination and Justice703 cited
• 2021Four Responsibility Gaps with Artificial Intelligence: Why they Matter and How to Address them483 cited
• 2020The Oxford Handbook of Ethics of AI454 cited
• 2018ETHICS GUIDELINES FOR TRUSTWORTHY AI400 cited
• 2014Moral Deskilling and Upskilling in a New Machine Age: Reflections on the Ambiguous Future of Character333 cited
• 2020The trainer, the verifier, the imitator: Three ways in which human platform workers support artificial intelligence262 cited