BackDetection challenges in content
Detection challenges in content
Risk Domain
Highly personalized AI-generated misinformation creating “filter bubbles” where individuals only see what matches their existing beliefs, undermining shared reality, weakening social cohesion and political processes.
"The difficulty in distinguishing synthetic content from authentic material adds to information risks."(p. 12)
Entity: Who or what caused the harm
Intent: Whether the harm was intentional or accidental
Timing: Whether the risk is pre- or post-deployment
Other risks from Uuk et al. (2025) (60)
Control
7.1 AI pursuing its own goals in conflict with human goals or valuesAI systemIntentionalPost-deployment
Democracy
6.0 Socioeconomic & EnvironmentalOtherOtherOther
Discrimination
1.1 Unfair discrimination and misrepresentationOtherOtherPost-deployment
Economy
6.2 Increased inequality and decline in employment qualityOtherOtherPost-deployment
Environment
6.6 Environmental harmAI systemUnintentionalPost-deployment
Governance
6.5 Governance failureAI systemUnintentionalPost-deployment