在生成性人工智能时代,政治微观目标的说服力效应
Almog Simchon1,2, Matthew Edwards3, Stephan Lewandowsky1,4,5
1School of Psychological Science, University of Bristol, Bristol BS8 1QU, UK.
PNAS nexus
|February 8, 2024
概括
生成型人工智能 (AI) 和微目标化可以为政治广告创建一个"操纵机器". 基于个性特征的个性化广告更有效和可扩展,引发了伦理方面的担忧.
科学领域:
- 政治科学 政治科学是指政治学.
- 计算机科学 计算机科学
- 沟通研究 沟通研究
背景情况:
- 微型定向广告和生成性人工智能 (AI) 的融合为政治传播带来了新的挑战.
- 人们担心,大语言模型 (LLM) 可能会被滥用,以扩大政治竞选中的微观目标化.
研究的目的:
- 为了研究一个系统的有效性.
- 操纵机器操纵机器 操纵机器
- 利用生成性AI进行个性化政治广告.
- 评估自动生成和验证个性定制政治广告的可扩展性.
主要方法:
- 进行了四项研究,以检查所提出的建议.
- 操纵机器操纵机器 操纵机器
- 一个概念,一个概念.
- 个性化政治广告与非个性化广告的有效性进行了比较.
- 展示了大规模,自动生成和验证个性化广告的可行性.
主要成果:
- 根据个人的个性特征定制的个性化政治广告被发现比非个性化广告更有效.
- 这些个性化政治广告的大规模自动生成和验证被证明是可行的.
- 生成型人工智能和微型定位可以创建一个可扩展的系统,用于制作利用个人漏洞的政治信息.
结论:
- 调查结果表明,使用人工智能和微型目标来发送政治信息存在重大风险.
- 在政治竞选中,人工智能驱动的操纵潜力需要伦理学家和政策制定者的注意.
- 需要进一步的研究和监管讨论,以解决人工智能在政治广告中的伦理影响.
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