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AI Act and Large Language Models (LLMs): When critical issues and privacy impact require human and ethical oversight

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arxiv 2404.00600 v2 pith:DHMQLSE4 submitted 2024-03-31 cs.CY cs.AIcs.CL

classification cs.CYcs.AIcs.CL
keywords ethicalimpactoversightprivacyhumanlanguagelargelevel
verification ladder T0 review T1 audit T2 compute T3 formal

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The imposing evolution of artificial intelligence systems and, specifically, of Large Language Models (LLM) makes it necessary to carry out assessments of their level of risk and the impact they may have in the area of privacy, personal data protection and at an ethical level, especially on the weakest and most vulnerable. This contribution addresses human oversight, ethical oversight, and privacy impact assessment.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 2 citations worldwide. Full citation record

  1. LLM Harms: A Taxonomy and Discussion

    cs.CY 2025-12 unverdicted novelty 3.0 of 10

    This paper proposes a taxonomy of LLM harms in five categories and suggests mitigation strategies plus a dynamic auditing system for responsible development.

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