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Specification overfitting in artificial intelligence
16 references·0 citing·43 second hop
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References

  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2020The Ethics of AI Ethics: An Evaluation of Guidelines1,900 cited
  • 2020Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI998 cited
  • 2016Inherent Trade-Offs in the Fair Determination of Risk Scores942 cited
  • 2022TruthfulQA: Measuring How Models Mimic Human Falsehoods893 cited
  • 2021Demystifying the Draft EU Artificial Intelligence Act — Analysing the good, the bad, and the unclear elements of the proposed approach802 cited
  • 2022A Review on Fairness in Machine Learning596 cited
  • 2020CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models438 cited
  • 2020Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI435 cited
  • 2020The Ethics of AI Ethics: An Evaluation of Guidelines394 cited
  • 1960Some Moral and Technical Consequences of Automation365 cited
  • 2021Measurement and Fairness362 cited
  • 2021The (Im)possibility of fairness262 cited
  • 2020Machine learning techniques for credit risk evaluation: a systematic literature review

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226 cited
  • 2019Fairness Under Unawareness150 cited
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