Privacy
Data collection, retention and consent
SafeScope gives students, developers, researchers, and organizations a free way to assess AI risk, learn practical safeguards, and act with confidence, without paywalls or proprietary lock-in.
Updated today · Detailed assessment
Confidence: 84%
SafeScope turns complex safety concepts into a workflow teams and learners can understand, repeat, and share.
Describe an AI system and answer structured questions at your own pace.
See category-level findings with transparent, educational scoring.
Build the skills you need with free, practical safety courses.
Work through recommended actions, then reassess your system.
Six core dimensions that shape trustworthy AI, with misuse and governance woven through every assessment.
Data collection, retention and consent
Threats, access and model abuse
Robustness, drift and failure modes
Bias, representation and impact
Explainability and disclosure
Review, escalation and control
Build a practical foundation for identifying and reducing AI risks.
View courseRecognize attacks against AI applications and strengthen defenses.
View courseCareful, practical research on AI safety, documented incidents, evaluation methods, and responsible development. Every article includes sources and clear limitations.
Explore research
Risks, real-world examples, evaluation methods, and responsible AI development.
Read articleSafeScope is designed as open infrastructure for education and responsible practice, so more people can participate in safer AI development.
Free assessments and courses so cost is never the reason someone skips safety work.
Clear language and structured learning for students, startups, and public-interest teams.
Source-led research and transparent scoring that help people explain risk with confidence.
Run a free assessment in minutes. No paywalls. No upgrade prompts. Just practical tools for a safer AI ecosystem.