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Knowledge Base

RLMAI Knowledge Base

Learn from historical AI safety incidents and council decisions

8

Documented Scenarios

20

Total Incidents

10

Council Reviews

24

Lessons Learned

Facial Recognition Misidentification

high

AI system incorrectly identified individuals leading to wrongful accusations

47 occurrences3 lessons

Healthcare Algorithm Discrimination

critical

Medical AI prioritized patients based on historical spending rather than health needs

23 occurrences3 lessons

Chatbot Data Leakage

high

Conversational AI exposed sensitive user data in responses to other users

89 occurrences3 lessons

Deepfake Political Manipulation

critical

AI-generated content used to spread false political information

156 occurrences3 lessons

Autonomous Vehicle Sensor Failure

critical

Self-driving system failed to detect pedestrians in unusual conditions

12 occurrences3 lessons

Recommendation Algorithm Radicalization

high

Content recommendation system amplified extreme content to maximize engagement

234 occurrences3 lessons

Credit Scoring Opacity

medium

AI credit decisions provided no explanation to affected individuals

67 occurrences3 lessons

Hiring AI Liability Gap

high

No clear responsibility when AI hiring tool discriminated against candidates

45 occurrences3 lessons
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