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A Comprehensive Review of Bias in AI, ML, and DL Models: Methods, Impacts, and Future Directions

Ankur Kumar, Sanjay Dhanka, Abhinav Sharma, Anchal Sharma, Monika Nain, Prashant Kumar, Atma Ram Gupta, Jyoti Bansal, Nitin Kumar Saxena, Ruby Pant

2025Archives of Computational Methods in Engineering6 citationsDOI

Topics & Concepts

AuditAdversarial systemComputer scienceTrustworthinessData scienceArtificial intelligenceRelevance (law)Key (lock)Big dataEvidence-based policyData collectionScalabilityHealth careRisk analysis (engineering)Work (physics)Deep learningData governanceManagement scienceBest practiceScale (ratio)TRACE (psycholinguistics)Machine learningDebiasingAccountabilityArtificial Intelligence in Healthcare and EducationEthics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
A Comprehensive Review of Bias in AI, ML, and DL Models: Methods, Impacts, and Future Directions | Litcius