AI Slop

A new paper by Jessica Silbey and Woodrow Hartzog defines AI slop as outputs from generative AI systems produced with negligible exertion, which asymmetrically burden recipients and tend to degrade cultural domains. This phenomenon is already affecting human creativity, research, art, culture, and work, transforming how content is created, consumed, and appreciated. The paper offers a detailed analysis of AI slop’s practical meaning and the concerns it raises for AI governance, ethics, and policy decisions.

• AI slop is defined as an output of a generative, probabilistic automated system produced with little exertion that asymmetrically burdens recipients and tends to degrade cultural domains.
• AI slop exists on a spectrum and comprises three parts: negligible exertion, asymmetrical imposition, and domain degradation.
• The phenomenon is impacting human creativity, research, art, culture, and work, and changing content creation and consumption.
• The paper provides an analysis of AI slop’s practical meaning and its implications for AI governance, ethics, and policy.
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