OECD Dark Pattern Harm Taxonomy
The OECD framework for categorizing deceptive design patterns and their harms. Provides systematic vocabulary for discussing manipulation in digital interfaces.
Pattern Categories
Forced Action: Requiring unrelated actions (forced account creation) Interface Interference: Manipulating UI to guide choices (hidden options) Nagging: Persistent requests to change behavior Obstruction: Making desired actions difficult (hard to unsubscribe) Sneaking: Hidden information or actions (added fees at checkout) Social Proof: Fake or misleading popularity signals Urgency: False scarcity or time pressure
Harm Categories
Financial: Direct monetary costs Privacy: Data exposure beyond expectations Autonomy: Undermining informed choice Time: Wasted attention and effort Psychological: Stress, confusion, manipulation
AI Relevance
AI systems can perpetuate dark patterns through:
- Recommendation systems that maximize engagement over user benefit
- Persuasion techniques embedded in conversational AI
- Personalized manipulation based on user data
- Opacity that prevents informed consent
Related: 07-molecule—ui-as-ultimate-guardrail, 01-atom—configuration-as-design