伦理学,生成人工智能和科学传播
Hannah R Feldman1, Fabien Medvecky1, Michelle Riedlinger2
1Australian National University, Australia.
Public understanding of science (Bristol, England)
|December 1, 2025
概括
科学传播中的生成人工智能 (AI) 需要仔细的伦理审查. 检查输出,影响和叙述对于负责任的AI整合在科学传播中至关重要.
科学领域:
- 科学传播科学传播
- 人工智能伦理学 人工智能伦理学
背景情况:
- 科学传播中的生成人工智能 (GenAI) 应用面临着迅速的,负面的公众反应.
- 关于GenAI在相关领域和科学传播伦理学方面的现有文献为此分析提供了信息.
研究的目的:
- 在科学传播中绘制GenAI的关键伦理问题.
- 探索道德关注的三个维度:输出,影响和叙述.
主要方法:
- 对GenAI应用和科学传播中的伦理学进行文献综述.
- 分析GenAI作为一个复杂的系统,不仅仅是输出生成.
主要成果:
- 科学传播中的GenAI带来了伦理挑战.
- 伦理探索的三个关键领域是输出,社会/环境影响和AI叙述.
结论:
- 对GenAI在科学传播中的负责任整合需要彻底的伦理考虑.
- 解决输出,影响和叙述对于社会和道德上可接受的AI使用至关重要.
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