BackImpacts on “epistemic security” and the information environment
Impacts on “epistemic security” and the information environment
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.
-(p. 36)
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 Maas (2023) (25)
Alignment failures in existing ML systems
7.1 AI pursuing its own goals in conflict with human goals or valuesAI systemUnintentionalOther
Alignment failures in existing ML systems > Faulty reward functions in the wild
7.1 AI pursuing its own goals in conflict with human goals or valuesHumanUnintentionalPost-deployment
Alignment failures in existing ML systems > Specification gaming
7.1 AI pursuing its own goals in conflict with human goals or valuesAI systemIntentionalOther
Alignment failures in existing ML systems > Reward model overoptimization
7.1 AI pursuing its own goals in conflict with human goals or valuesAI systemIntentionalOther
Alignment failures in existing ML systems > Instrumental convergence
7.1 AI pursuing its own goals in conflict with human goals or valuesAI systemIntentionalPost-deployment
Alignment failures in existing ML systems > Goal misgeneralization
7.1 AI pursuing its own goals in conflict with human goals or valuesAI systemUnintentionalOther