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Updated: Jul 23, 2025

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Perspectives on Neuroscience
Published on: July 31, 2007
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智力赛博格和科学的未来
1Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), CA, USA; Global Brain Health Institute (GBHI), Trinity College Dublin (TCD), Dublin, Ireland; Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile.
Trends in cognitive sciences
|July 13, 2023
概括
生成型人工智能 (AI) 可以增强科学家,提高研究效率和可访问性. 负责任的发展和积极的监管对于导航这场科学革命及其道德考虑至关重要.
科学领域:
- 认知科学 认知科学
- 人工智能的人工智能
- 科学哲学的科学哲学
背景情况:
- 经典的人工智能 (AI) 与生成性AI有所不同.
- 生成型人工智能在科学研究中呈现出一种范式的转变.
- 嵌入式认知和扩展性思维理论为理解这种转变提供了框架.
研究的目的:
- 探索生成性AI在科学中的变革潜力.
- 通过体现认知和扩展思维理论的透视来分析生成AI的含义.
- 解决研究中围绕生成人工智能的伦理考虑和监管需求.
主要方法:
- 概念分析整合了体内认知和扩展思想的理论.
- 在科学背景下探索生成性AI能力.
- 讨论道德框架和监管方法.
主要成果:
- 生成型人工智能可以显著提高科学家的研究效率和可访问性.
- 生成型人工智能的整合可以导致科学实践的转变,类似于创造"智能赛博格".
- 伦理挑战和需要主动监管被确定为关键因素.
结论:
- 生成型人工智能为科学进步提供了巨大的好处.
- 了解这一革命需要结合认知和哲学理论.
- 负责任的开发和积极的,前所未有的监管对于在道德和有效地利用生成AI的潜力至关重要.
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