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Real Harm DB

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Real Harm DB is a database that tracks and analyzes real-world incidents of harm caused by AI systems, providing valuable data to improve AI safety and security.

Data Quality PlatformsData Discovery ToolsCollaborative ReportingThreat IntelligenceCompliance Evidence Collection

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Features

Track real-world incidents of harm caused by AI systems
Analyze data to improve AI safety
Provide insights for AI security enhancement
Aggregate incident data from various sources
Generate reports on AI-related harm
Identify patterns in AI system failures
Support AI risk management strategies
Facilitate collaboration among AI safety researchers

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