References

• 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology115,720 cited
• 2019The global landscape of AI ethics guidelines6,172 cited
• 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
• 2012Fairness through awareness3,501 cited
• 2019Principles alone cannot guarantee ethical AI1,869 cited
• 2020Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy1,724 cited
• 2019A Unified Framework of Five Principles for AI in Society1,612 cited
• 2019Review of “Race After Technology: Abolitionist Tools for the New Jim Code”1,474 cited
• 2020Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension1,396 cited
• 2019Machine behaviour1,359 cited
• 2020Bias in data‐driven artificial intelligence systems—An introductory survey1,040 cited
• 2017Counterfactual Fairness995 cited
• 2022Trust in AI and Its Role in the Acceptance of AI Technologies961 cited
• 2019From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices879 cited
• 2019Addressing Bias in Artificial Intelligence in Health Care