法律学士学位,真相和民主:风险概述
1Department of Philosophy, University of Vienna, Vienna, Austria. mark.coeckelbergh@univie.ac.at.
Science and engineering ethics
|January 23, 2025
概括
大型语言模型 (LLM) 对真理和知识构成风险,影响民主. 这篇论文分析了这些风险,并建议教育作为解决方案.
科学领域:
- 人工智能哲学的人工智能哲学
- 政治哲学 政治的哲学
- 认识论的认识论学.
背景情况:
- 越来越多的公众关注人工智能 (AI),特别是大型语言模型 (LLM) 对真理和知识的影响.
- 尽管有这些担忧,但对人工智能对真理影响的政治影响的系统哲学分析是有限的.
研究的目的:
- 提供与法律士相关的真相相关风险的哲学分析.
- 检查这些风险对民主社会的政治影响.
- 探索潜在的解决方案,专注于教育.
主要方法:
- 关于LLM所带来的与真相有关的风险的概述:幻觉,错误信息,认识体系泡,胡说八道,相对主义,认识体系古主义和认识体系乱伦.
- 哲学论证将认识论风险与民主赤字联系起来.
- 思考潜在的干预措施,特别是教育策略.
主要成果:
- LLM引入了显著的认识系统风险,包括幻觉和认识系统泡的产生.
- 这些认识挑战破坏了强大的民主运作所必需的基础知识基础.
- 非极小主义的民主理论特别容易受到这些人工智能驱动的认识系统破坏的影响.
结论:
- 法律法规的扩散带来了严重的政治和知识体系风险,威胁到民主的基础.
- 应对这些风险需要采取多方面的方法,教育被认为是干预的关键领域.
- 需要进一步的哲学和政治分析来导航人工智能,真理和民主之间的复杂关系.
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