References

• 2023Artificial Intelligence Risk Management Framework (AI RMF 1.0)1,275 cited
• 2021Algorithmic Bias in Education988 cited
• 2023Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies871 cited
• 2022Towards a standard for identifying and managing bias in artificial intelligence541 cited
• 2023Ethics and discrimination in artificial intelligence-enabled recruitment practices447 cited
• 2022AI bias: exploring discriminatory algorithmic decision-making models and the application of possible machine-centric solutions adapted from the pharmaceutical industry288 cited
• 2023How can we manage biases in artificial intelligence systems – A systematic literature review238 cited
• 2022Auditing the AI auditors: A framework for evaluating fairness and bias in high stakes AI predictive models.233 cited
• 2024AI generates covertly racist decisions about people based on their dialect222 cited
• 2023Human-Centered Design to Address Biases in Artificial Intelligence201 cited
• 2022Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem195 cited
• 2022capAI - A Procedure for Conducting Conformity Assessment of AI Systems in Line with the EU Artificial Intelligence Act157 cited
• 2023AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications155 cited