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Documenting High-Risk AI: A European Regulatory Perspective

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References

2019Model Cards for Model Reporting2,653 cited
1976The Delphi method: Techniques and applications1,347 cited
2018AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias437 cited
2020Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI435 cited
2019FactSheets: Increasing trust in AI services through supplier's declarations of conformity434 cited
2021Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure279 cited
2018The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards176 cited

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2025

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High-Risk Artificial Intelligence

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