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The AI Act, gender equality and non-discrimination: what role for the AI office?
16 references·2 citing·40 second hop
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References

  • 2017Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints878 cited
  • 2020Human–AI Interactions in Public Sector Decision Making: “Automation Bias” and “Selective Adherence” to Algorithmic Advice588 cited
  • 2020Invisible Women Exposing Data Bias in a World Designed for Men573 cited
  • 2018Teaching fairness to artificial intelligence: Existing and novel strategies against algorithmic discrimination under EU law317 cited
  • 2022Auditing the AI auditors: A framework for evaluating fairness and bias in high stakes AI predictive models.233 cited
  • 2022How do people react to AI failure? Automation bias, algorithmic aversion, and perceived controllability178 cited
  • 2023More than a Glitch170 cited
  • 2021Beyond the individual: governing AI’s societal harm143 cited
  • 2009Profiles, Probabilities, and Stereotypes141 cited
  • 2020Tuning EU equality law to algorithmic discrimination: Three pathways to resilience115 cited
  • 2020Algorithms as discrimination detectors95 cited
  • 2022Gender equality and artificial intelligence in Europe. Addressing direct and indirect impacts of algorithms on gender-based discrimination72 cited
  • 2024Auditing Work: Exploring the New York City algorithmic bias audit regime59 cited
  • 2019Artificial Intelligence: the right to protection from discrimination caused by algorithms, machine learning and automated decision-making

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44 cited
  • 2023Licensing high-risk artificial intelligence: Toward ex ante justification for a disruptive technology43 cited
  • 2022Practical fundamental rights impact assessments31 cited
  • Cited by

    • 2025Fairness in AI systems development: EU AI Act compliance and beyond13 cited
    • 2025Transparent and bias-resilient AI framework for recidivism prediction using deep learning and clustering techniques in criminal justice12 cited