大模型对齐与安全

Risks & Benefits of LLMs & GenAI for Platform Integrity, Healthcare Diagnostics, Financial Trust and Compliance, Cybersecurity, Privacy & AI Safety: A Comprehensive Survey, Roadmap & Implementation Blueprint

Kiarash Ahi

专题命中 AI治理与伦理 ：safety(title,abstract)；AI safety(title)；分类 cs.CY

KLAAD: Refining Attention Mechanisms to Reduce Societal Bias in Generative Language Models

Seorin Kim, Dongyoung Lee, Jaejin Lee

机构 * Dept. of Data Science, Seoul National University（数据科学系，首尔国立大学） ； Dept. of Computer Science and Engineering, Seoul National University（计算机科学与工程系，首尔国立大学） 纠错

专题命中 AI治理与伦理 ：alignment(abstract)；分类 cs.CL

Assessing the Reliability of LLMs Annotations in the Context of Demographic Bias and Model Explanation

Hadi Mohammadi, Tina Shahedi, Pablo Mosteiro, Massimo Poesio, Ayoub Bagheri, Anastasia Giachanou

机构 * Department of Methodology and Statistics, Utrecht University, The Netherlands（方法论与统计学系，乌特列支大学，荷兰） ； Department of Information and Computing Sciences, Utrecht University, The Netherlands（信息与计算科学系，乌特列支大学，荷兰） ； Queen Mary University of London, London, United Kingdom（伦敦女王玛丽大学，伦敦，英国） 纠错

专题命中 AI治理与伦理 ：alignment(abstract)；分类 cs.CL

Black Box Deployed -- Functional Criteria for Artificial Moral Agents in the LLM Era

Matthew E. Brophy

专题命中 AI治理与伦理 ：alignment(abstract)；分类 cs.AI

Comments 42 pages. Supplementary material included at end of article