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FMEA-AI: AI fairness impact assessment using failure mode and effects analysis · Study

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ArticleFMEA-AI: AI fairness impact assessment using failure mode and effects analysis

Jamy J. Li2022

Article2022

FMEA-AI: AI fairness impact assessment using failure mode and effects analysis

Jamy J. Li · Mark Chignell

26 citations·0/0 files stored·AI and Ethics

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Ethics and Social Impacts of AI Explainable Artificial Intelligence (XAI)Safety Systems Engineering in Autonomy

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References

2017Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy 2015Certifying and Removing Disparate Impact 2016The social dilemma of autonomous vehicles 1996Failure Mode and Effect Analysis: FMEA From Theory to Execution 2018Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management 2018How AI can be a force for good 2020Bridging the Gap Between Ethics and Practice 2017Fair, Transparent, and Accountable Algorithmic Decision-making Processes

Cited by

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

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Year2022

Typearticle

Published2022-03-07

VenueAI and Ethics

ISSN-L2730-5953

Languageen

Citations26

Files0 public / 0

ShelfEthics and Social Impacts of AI

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doi10.1007/s43681-022-00145-9

openalex_workW4220907003

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