调节合成内容:生成性AI的挑战
Sarah A Fisher1, Jeffrey W Howard2, Beatriz Kira3
1Cardiff University School of English, Communication and Philosophy, Cardiff, UK.
概括
生成型人工智能创造了令人信服的假内容,带来了错误信息和深度假冒等风险. 社交媒体平台应该执行现有规则,而不是创建新的政策,以打击这种人工内容威胁.
科学领域:
- 数字伦理 数字伦理
- 人工智能安全问题 人工智能安全问题
- 社交媒体治理 社交媒体治理
背景情况:
- 生成型人工智能 (AI) 能够创建高度令人信服的伪造内容.
- 合成错误信息,政治宣传和非协商一致的深度假新闻的扩散对公共领域构成重大威胁.
- 预计生成性AI技术的恶意应用将会增加.
研究的目的:
- 评估社交媒体平台对生成人工智能生成内容的威胁的适当政策反应.
- 确定是否需要针对合成媒体制定新的,具体的政策,或者是否现有的规则足够.
主要方法:
- 分析AI产生的内容所带来的威胁的性质.
- 将人工智能产生的内容威胁与现有的有害在线内容类别进行比较.
- 基于这样一个原则的论点,即伤害的类型,而不是内容的来源,决定了回应.
主要成果:
- 人工智能产生的内容所构成的威胁在本质上与普通有害内容相似.
- 生成性人工智能扩大了现有的问题,而不是引入全新的危害类别.
- 当现有平台规则得到适当的执行时,就足以应对这些挑战.
结论:
- 社交媒体平台不应该专门为合成内容制定新的政策.
- 最有效的策略是加强当前的通用平台规则的执行.
- 建议一致应用现有政策,无论内容来源 (人或机器) 是什么.
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