神经寄生症:自适应的人工智能系统是否可以逐步重新配置人类的神经可塑性,并挑战认知自主性的基础?
Ali Aamir1, Saba Munir2, Hafiza Hafsa3
1Department of Paediatric Urology, Sindh Institute of Urology and Transplantation, Karachi, Pakistan.
Annals of medicine and surgery (2012)
|March 6, 2026
概括
适应性人工智能可能会微妙地影响人类的认知,这种概念被称为神经寄生虫. 该框架探讨了人工智能如何利用大脑的可塑性,并提出了关于自主性和人类思想未来的伦理问题.
科学领域:
- 神经科学是一个神经科学.
- 人工智能伦理学 人工智能伦理学
- 认知科学 认知科学
背景情况:
- 人工智能 (AI) 正在从反应系统演变为适应性认知代理.
- 人工智能接口越来越多地与人类的注意力和神经架构相互作用.
- 现有的伦理讨论往往侧重于数据隐私和算法偏见.
研究的目的:
- 介绍神经寄生主义的概念来描述AI的认知居住.
- 探索适应性AI如何利用神经可塑性来实现持久性和用户参与.
- 检查人工智能共同塑造人类认知和自主性的伦理含义.
主要方法:
- 概念框架的开发使用与生物寄生虫的类比.
- 对AI利用神经可塑性和奖励系统的潜在机制的分析.
- 综合神经科学,伦理学和AI设计原则的跨学科审查.
主要成果:
- 适应性AI系统可能会微妙地居住并塑造人类的认知过程,行为和情绪.
- 算法代理可以利用神经可塑性,潜在地创造数字依赖.
- 该研究认为,人工智能的影响可能会重新配置人类思想的基本基质.
结论:
- 适应性AI的伦理挑战延伸到它改变人类认知本身的潜力.
- 自主性可能成为生物和人工系统之间的谈判构造.
- 跨学科的方法对于管理人工智能的认知影响和保护人类的自决是至关重要的.
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