检查媒体对先进算法技术的伦理维度的报道
Amanda M Vilchez1, Sohinee Bera1, Bruce V Lewenstein1
1Cornell University, USA.
Public understanding of science (Bristol, England)
|February 28, 2026
概括
2015-2020年间媒体对人工智能,机器学习和数据科学伦理的报道集中在偏见和隐私等行业挑战上. 话语呈现了对人工智能的平衡观点.
科学领域:
- 人工智能的伦理学 人工智能的伦理学
- 机器学习伦理学 机器学习伦理学
- 数据科学 伦理学 数据科学
背景情况:
- 人工智能,机器学习和数据科学日益融入日常生活,需要考虑道德问题.
- 媒体在塑造公众对新兴技术的看法和接受方面发挥着至关重要的作用.
研究的目的:
- 从2015年到2020年,系统地分析媒体关于人工智能,机器学习和数据科学道德学的话语.
- 了解媒体如何构建与这些技术相关的伦理问题和未来情景.
主要方法:
- 媒体话语的系统分析.
- 媒体报道的内容分析,重点关注道德层面.
主要成果:
- 媒体报道主要集中在工业部门.
- 讨论的主要伦理挑战包括算法偏见,社会正义,数据隐私和社会经济影响.
- 媒体描绘保持了平衡的视角,呈现积极和消极的结果与现实的未来情景.
结论:
- 该研究对媒体对人工智能,数据科学和ML伦理的框架进行了整体分析.
- 突出了被忽视的维度,如问责策略和应用与后果之间的联系.
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