机器说话:对话式人工智能和努力对意义关系的重要性
1Neuroscience Institute, University of Cape Town, Cape Town, South Africa.
JMIR mental health
|June 18, 2024
概括
交谈式人工智能 (CAI) 将重点从与机器交谈转移到让机器为我们说话. 通过CAI放弃人际努力可能会降低关系价值和个人成长机会.
科学领域:
- 人与计算机的交互
- 技术的哲学技术的哲学
- 社会心理学 社会心理学
背景情况:
- 目前关于对话型人工智能 (CAI) 的辩论主要涉及人类与AI互动的社会和伦理影响.
- 越来越多的现象涉及使用CAI让机器代表人类进行通信,这是一个明显的关注领域.
研究的目的:
- 检查使用CAI使机器代表个人说话的含义,而不是个人对机器说话.
- 探索当人际努力被CAI所取代时失去的价值和意义.
- 识别自我理解和个人成长的潜在损失.
主要方法:
- 这种观点综合了现有的文学和哲学论证.
- 它分析了人际关系中的努力概念及其内在价值.
- 它将CAI的好处与人类联系和自我发展的潜在成本进行对比.
主要成果:
- 在人际交往中的努力本质上传达了价值和意义.
- 用CAI取代人类努力可能会导致这种传达的价值和意义的丧失.
- 过度依赖CAI进行沟通可能会阻碍自我发现和个人成长的机会.
结论:
- 使用CAI来为个人沟通带来了超出直接的人与人工智能交互的风险.
- 人际努力的内在价值对于有意义的关系和个人发展至关重要.
- 需要仔细考虑由于CAI而放弃人际沟通的努力.
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