ai-personalization--ethicslisted

# AI Personalization & Ethics Design adaptive interfaces that learn from users and improve over time - without crossing into surveillance, manipulation, or exclusion. The ADAPT framework ensures personalization serves the user's interests, not just engagement metrics. ## Core Principle Personalization is not a feature - it is a **power dynamic.** The system knows things about the user that the user may not know about themselves. With that knowledge comes responsibility: personalization must be transparent, controllable, and in service of the user's actual goals, not the platform's engagement targets. --- ## The ADAPT Framework | Letter | Principle | Design Question | |---|---|---| | **A** | Agency Preserved | Can the user see, understand, and override every personalization decision? | | **D** | Data Minimized | Are you collecting only what's necessary, and being transparent about it? | | **A** | Alternatives Accessible | Can the user easily access non-personalized or differently-personalized views? | | **P** | Patterns Not Profiles | Are you personalizing based on behavior patterns, not invasive profiling? | | **T** | Tested for Fairness | Have you verified that personalization doesn't discriminate across user groups? | --- ## The Personalization Ladder Not all personalization is created equal. Higher rungs are more valuable but more ethically complex. | Rung | Personalization Type | Data Needed | Value to User | Ethical Risk | |---|---|---|---|---| | 1 | **Segment-