Ethics and EU AI Act in Cases of Work Disability Risk and Alzheimer's Disease Risk Prediction

2026-07-08T07:23:52Z987b099c3286d079b09ffbcc90f2f160d921a9842b39295f592c61285e10f056
AI ethicsAI safetyAlzheimer's predictionCANONICCCBENCHCSAMEU AI ActHPCJean ZayLCALLM cultural competenceLLM trainingLucie 7Bchild safetydataset curationeducation technology","vibe coding","GenAI literacyenvironmental impactfrontier AIgovernancehigh-risk AI systemslabor market exposuremedical AImodel governancered teamingwork-disability prediction

What happened

Collection of arXiv preprints (Jul 8 2026) covering AI ethics, governance, safety, and societal impact. Key papers flag medical risk-prediction tools (work disability, Alzheimer’s) as EU AI Act-classified high-risk systems requiring substantial compliance; a position paper argues that preventing AI-generated child sexual abuse material (CSAM) demands new AI-safety approaches and lists 15 open problems across the model lifecycle; CCBENCH highlights large gaps in LLM cultural competence for health queries; an LCA of pretraining the open-source Lucie 7B reports quantified GHG, water use, and GPU‑

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_cy
Record identifier
987b099c3286d079b09ffbcc90f2f160d921a9842b39295f592c61285e10f056
Enrichment time
2026-07-08T07:23:52Z
AI-assisted enrichment
Yes

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