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FMEA-AI: AI fairness impact assessment using failure mode and effects analysis
16 references·5 citing·43 second hop
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References

  • 2017Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy3,071 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2016The social dilemma of autonomous vehicles1,520 cited
  • 1996Failure Mode and Effect Analysis: FMEA From Theory to Execution1,493 cited
  • 2018Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management1,334 cited
  • 2018How AI can be a force for good757 cited
  • 2020Bridging the Gap Between Ethics and Practice747 cited
  • 2017Fair, Transparent, and Accountable Algorithmic Decision-making Processes707 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2020Emerging challenges in AI and the need for AI ethics education625 cited
  • 1998Exploring Strategic Change528 cited
  • 2020Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI435 cited
  • 2018AI and Big Data: A blueprint for a human rights, social and ethical impact assessment309 cited
  • 2010Discrimination Aware Decision Tree Learning303 cited
  • 2020Beyond the promise: implementing ethical AI245 cited

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  • 2021Re-imagining Algorithmic Fairness in India and Beyond228 cited
  • Cited by

    • 2023A step toward building a unified framework for managing AI bias23 cited
    • 2023Towards Concrete and Connected AI Risk Assessment (C2AIRA): A Systematic Mapping Study19 cited
    • 2025A literature review of risk assessment approaches in failure mode and effects analysis13 cited
    • 2024Quick Commerce in the Quantum Age11 cited
    • 2022Updating the FMEA Approach with Mitigation Assessment Capabilities—A Case Study of Aircraft Maintenance Repairs10 cited