聊天GPT:从人机交互和心理学的观点
1Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.
Frontiers in artificial intelligence
|July 3, 2024
概括
本文探讨了像ChatGPT这样的大型语言模型 (LLM),重点关注它们对人机交互,心理学和社会的影响. 它强调了对话性AI的改进,同时考虑了对人际关系和隐私的风险.
科学领域:
- 人工智能的人工智能
- 人与计算机的交互
- 心理学 心理学 心理学
- 社会学 社会学 社会学
背景情况:
- GPT-4的发布意味着大型语言模型 (LLM) 的广泛采用.
- 之前的研究集中在LLM的技术和社会影响上,忽视了HCI和心理影响.
- 需要了解高级对话性AI的更广泛影响.
研究的目的:
- 探索ChatGPT对人机交互,心理学和社会的多方面的影响.
- 分析ChatGPT类似人类响应生成的技术基础.
- 评估与ChatGPT在不同领域的整合相关的好处和风险.
主要方法:
- 进行了全面的文献审查.
- 分析ChatGPT的技术基础,包括变压器架构和来自人类反的强化学习 (RLHF).
- 检查对对话界面,心理健康和商业/社会应用的影响.
主要成果:
- GPT模型显著增强了对话界面,改善了用户交互.
- 聊天GPT展示了模仿同情和支持学习的潜力,但存在减少人际联系的风险.
- 客户和社会服务中的应用显示了效率的提高,但也引发了隐私方面的担忧.
结论:
- 聊天GPT在人机交互和社会应用方面呈现出一种范式的转变.
- 未来的发展需要仔细考虑心理和社会关系的影响.
- 提供了对LLMs负责任的开发和整合的建议.
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