References

• 2019The global landscape of AI ethics guidelines6,172 cited
• 2017Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy3,071 cited
• 2019Model Cards for Model Reporting2,653 cited
• 2020The Ethics of AI Ethics: An Evaluation of Guidelines1,900 cited
• 2002Analyzing Qualitative Data1,446 cited
• 2020Closing the AI accountability gap1,445 cited
• 2022Human-Centered AI1,044 cited
• 2019AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias884 cited
• 2020Bridging the Gap Between Ethics and Practice747 cited
• 2019Actionable Auditing650 cited
• 2019Recommender Systems and their Ethical Challenges557 cited
• 2019FactSheets: Increasing trust in AI services through supplier's declarations of conformity434 cited
• 2019Establishing the rules for building trustworthy AI392 cited
• 2021Governing AI safety through independent audits249 cited
• 2019Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure205 cited
• 2022Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem