人形对话代理的好处和危害
Sandra Peter1, Kai Riemer1, Jevin D West2
1University of Sydney Business School, The University of Sydney, Sydney, NSW 2006, Australia.
概括
大型语言模型 (LLM) 可以令人信服地模仿人类对话,引发了人们对欺骗的担忧. 这种观点探讨了这些人形对话代理的好处和危险.
科学领域:
- 人工智能的人工智能
- 人与计算机的交互
- 认知科学 认知科学
背景情况:
- 最近的大型语言模型 (LLM) 在说服性写作,同情心模拟和类似人类对话方面展示了先进的能力.
- 这些被称为"人类形态交谈代理人"的系统,在没有真正的社会理解或同情心的情况下,令人信服地模仿人类沟通.
- 当前警告人类形态主义的研究受到挑战,当人工智能系统内在表现出类似人类的品质时.
研究的目的:
- 提高人们对人类形态对话代理的双重性质 - - 利益和风险的认识.
- 解决关键问题,即是否接受或减轻LLMs的人类能力.
- 探索不可区分的人工智能与人类沟通及其社会影响的含义.
主要方法:
- 这篇视角论文分析了LLM沟通能力的现状.
- 它在先进的人工智能系统的背景下审查了人类形象主义的概念.
- 它讨论了人类形态代理所带来的伦理和社会挑战.
主要成果:
- 士在模仿人类沟通方面出色,经常在特定任务中超越人类的表现.
- 人工智能不能与人类对话者区分开来,这带来了重大风险,包括欺骗,操纵和虚假信息.
- 在LLM沟通能力方面的进步很大,但往往被专注于推理所掩盖.
结论:
- 在设计,开发,部署,使用和监管等各个阶段都需要积极参与人类形态代理.
- 需要进一步的研究来理解和减轻与类似人类的人工智能通信相关的风险.
- 社会框架和政策必须适应复杂的对话性AI的日益普及.
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