April 2, 2024, 7:52 p.m. | Nicola Fabiano

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.00600v1 Announce Type: cross
Abstract: 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.

abstract act ai act artificial artificial intelligence arxiv cs.ai cs.cl cs.cy ethical evolution human impact intelligence language language models large language large language models llm llms oversight privacy risk systems type

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York