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基于人工智能的研究指导者:可行的情景和伦理问题
Daniel Crean1,2,3, Michał Wieczorek3, Bert Gordijn3
1School of Veterinary Medicine, University College Dublin, Dublin, Ireland.
Accountability in research
|August 28, 2025
概括
基于人工智能的研究指导者 (AIRM) 在所有使用场景中都带来道德挑战. 只有指导模式是最不存在问题的,但仍然需要政策来解决诚实和开放等问题.
科学领域:
- 人工智能的道德
- 技术预测
- 研究指导
背景情况:
- 基于人工智能的研究指导者 (AIRM) 是科学研究中的新兴工具.
- 需要对AIRM的伦理影响进行彻底审查.
- 预测性技术伦理为预测和问题评估提供了框架.
研究的目的:
- 通过技术预测,检查基于人工智能的研究指导者 (AIRM).
- 识别和评估与不同AIRM场景相关的伦理问题.
- 为负责任的AIRM实施提供政策制定信息.
主要方法:
- 用场景规划来开发AIRM使用的四种可信的未来场景.
- 雷斯尼克的十二个研究伦理原则被用来确定伦理问题.
- 在每个场景中, 权衡道德问题与潜在的好处.
主要成果:
- 在所有AIRM场景中都违反了公开性,教育,合法性和相互尊重.
- 在涉及AIRM监控的场景中,自由受到损害.
- 在指导场景中",AIRMing"现象表明了潜在的错误操作.
结论:
- 只有指导性的AIRM场景带来了最少的伦理问题.
- 即使只有指导的情况也会引起人们对诚实,开放,信用,教育,合法性和相互尊重的担忧.
- 政策至关重要,以确保AIRM仅用于指导和减轻已识别的伦理问题.
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