Fairness Definitions and Metrics in Deep Reinforcement Learning for Drug Discovery in Healthcare: A Rapid Evidence Review
arXiv 2606.02902•1faf0284c1e90eb9953faea712ab5b7b68e459a0c3b6d95eeff4ba32f1e3118e
AGI-governanceAI-ethicsLLM-alignmentalgorithmic-compliancealgorithmic-fairnessauditcopyleftdataset-biasdeep-reinforcement-learningdrug-discoveryeducationenvironmental-impactfair-lendinghardware-reverse-engineeringhardware-securitykid-safetylicense-evasionmechanistic-MLmodel-reproducibilityreproducible-buildsreward-designsupply-chain-risksustainabilityweak-supervision
Paper metadata
- arXiv ID
- 2606.02902
- Version
- Not specified by this published record
- Category
- Computer Science — Computers and Society (cs.CY)
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Evidence and limitations
- Source ID
- arxiv_cs_cy
- Record identifier
- 1faf0284c1e90eb9953faea712ab5b7b68e459a0c3b6d95eeff4ba32f1e3118e
- Enrichment time
- 2026-06-03T07:23:53Z
- AI-assisted enrichment
- Yes
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