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
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)