人工智能作为一种认识技术
1Philosophy Department, University of Oregon, Eugene, OR, USA. ralvarad@uoregon.edu.
Science and engineering ethics
|August 21, 2023
概括
人工智能 (AI) 和其数据科学方法主要是认识系统技术,旨在调查和数据操纵. 了解人工智能作为一个认识论工具,影响了关于可解释性,信任和人工智能的辩论.
科学领域:
- 技术的哲学技术的哲学
- 人工智能研究 人工智能研究
- 认识论的认识论学.
背景情况:
- 人工智能 (AI) 涵盖机器学习和大型语言模型.
- 人工智能在数据科学中的作用正在迅速扩大.
- 技术的性质往往是由它的目的和功能来定义的.
研究的目的:
- 建立人工智能作为一种主要的认识技术.
- 从其他技术区分认知技术.
- 探索通过认识论镜头来看待人工智能的含义.
主要方法:
- 技术和认识技术的概念分析.
- 论证人工智能作为一种认识技术的独特地位.
- 审查现有的AI哲学和伦理学文献.
主要成果:
- 由于其设计和操作,人工智能基本上是一种认识技术.
- 人工智能非常适合用于诸如调查,数据操纵,预测和分析之类的认识背景.
- 将人工智能视为一种认识技术具有重要的伦理和哲学含义.
结论:
- 人工智能的首要功能与认识目标保持一致,使其与其他技术区别开来.
- 了解AI的认识性质对于解决可解释性,不透明性和信任问题至关重要.
- 这种观点为有关人工智能的潜在认识学伤害的批判性讨论提供了信息.
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