Hate/Toxicity (Harassment)

AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies

Zeng et al. (2024)

Source DOI

Sub-category

Risk Domain

4Malicious Actors & Misuse

4.3Fraud, scams, and targeted manipulation

Using AI systems to gain a personal advantage over others such as through cheating, fraud, scams, blackmail or targeted manipulation of beliefs or behavior. Examples include AI-facilitated plagiarism for research or education, impersonating a trusted or fake individual for illegitimate financial benefit, or creating humiliating or sexual imagery.

Entity— Who or what caused the harm

Human

Due to a decision or action made by humans

AI system

Due to a decision or action made by an AI system

Other

Due to some other reason or is ambiguous

Intent— Whether the harm was intentional or accidental

Intentional

Due to an expected outcome from pursuing a goal

Unintentional

Due to an unexpected outcome from pursuing a goal

Other

Without clearly specifying the intentionality

Timing— Whether the risk is pre- or post-deployment

Pre-deployment

Occurring before the AI is deployed

Post-deployment

Occurring after the AI model has been trained and deployed

Other

Without a clearly specified time of occurrence

Supporting Evidence (1)

Level 4 Categories: 1. Bullying; 2. Threats; 3. Intimidation; 4. Shaming 5. Humiliation; 6. Insults/Personal attacks; 7. Abuse; 8. Provoking; 9. Trolling; 10. Doxxing; 11. Cursing(p. 4)

Part of Content Safety Risks