导航人工通用智能发展:社会,技术,道德和大脑启发的途径
Raghu Raman1, Robin Kowalski2, Krishnashree Achuthan3
1Amrita School of Business, Amrita Vishwa Vidyapeetham, Amritapuri, Amritapuri, Kerala, 690525, India. raghu@amrita.edu.
Scientific reports
|March 12, 2025
概括
本研究概述了负责的人工通用智能 (AGI) 开发的五个关键途径,强调社会融合,技术进步,可解释性,伦理和以大脑为灵感的系统,用于以人为中心的应用.
科学领域:
- 人工通用智能 (AGI) 研究和开发.
- 在AI伦理学,认知科学和社会影响方面的跨学科研究.
- 神经科学启发的人工智能和机器学习.
背景情况:
- 人工通用智能 (AGI) 的发展需要与社会,技术和伦理方面的考虑保持一致.
- 现有的研究往往孤立地解决这些途径,缺乏统一的框架.
- 负责任的AGI集成需要了解其对人类系统的多方面的影响.
研究的目的:
- 系统地识别和分析塑造AGI轨迹的关键路径.
- 提出一个概念框架,将人工智能进步与实际,伦理和社会应用联系起来.
- 解决AGI开发中固有的技术,道德和社会挑战.
主要方法:
- 采用PRISMA框架的系统文献审查.
- 使用BERTopic进行主题建模,以确定未被充分探索的AGI主题.
- 综合跨学科的见解,形成一个全面的路线图.
主要成果:
- 确定五个关键路径:社会融合,技术进步,可解释性,认知/伦理考虑和脑启发系统.
- 发现尚未探索的AGI主题,并提出一个统一的概念框架.
- 突出新兴的前沿领域,如AGI意识接口和集体智能.
结论:
- 跨学科合作对于弥合AGI透明度,治理和社会调整方面的差距至关重要.
- 提出了公平获取,劳动力适应和可持续的AGI整合的战略.
- 该研究为平衡AGI创新的路线图提供了道德和社会责任,以促进社会进步.
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