Free public-interest AI safety

Safer AI for everyone
who builds with it.

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.

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— registered builders— assessments completed5 organizations on the platform
Educational risk assessments for learning and capacity building, not formal certification or guaranteed compliance.
Sample risk assessment
ASSESSMENT REPORT

Customer support copilot

Updated today · Detailed assessment

Elevated risk
62/ 100
Overall risk score

Confidence: 84%

Risk distribution 7 categories
Privacy
32
Security
22
Reliability
58
Fairness
18
Transparency
71
Organizations building with SafeScope
Hasey GroupDot CreativeAuratechWitz AfricaGo Digital Africa
A clear path to safer AI

From first questions to practical action.

SafeScope turns complex safety concepts into a workflow teams and learners can understand, repeat, and share.

01

Assess

Describe an AI system and answer structured questions at your own pace.

02

Understand

See category-level findings with transparent, educational scoring.

03

Learn

Build the skills you need with free, practical safety courses.

04

Improve

Work through recommended actions, then reassess your system.

What we look at

Safety is more than one score.

Six core dimensions that shape trustworthy AI, with misuse and governance woven through every assessment.

01

Privacy

Data collection, retention and consent

02

Security

Threats, access and model abuse

03

Reliability

Robustness, drift and failure modes

04

Fairness

Bias, representation and impact

05

Transparency

Explainability and disclosure

06

Human oversight

Review, escalation and control

AI Safety Academy

Learn the ideas. Practice the habits.

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01
Beginner4 modules · 2h 15m

Introduction to AI Safety

Build a practical foundation for identifying and reducing AI risks.

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02
Intermediate5 modules · 3h 40m

Prompt Injection and LLM Security

Recognize attacks against AI applications and strengthen defenses.

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03
Intermediate4 modules · 2h 50m

Fairness in Machine Learning

Learn how to find, measure and mitigate harmful model bias.

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SafeScope Research

Evidence donors and builders can trust.

Careful, practical research on AI safety, documented incidents, evaluation methods, and responsible development. Every article includes sources and clear limitations.

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Abstract AI safety research illustration
Featured article

Understanding AI Safety

Risks, real-world examples, evaluation methods, and responsible AI development.

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Public benefit

Capacity building for a safer AI ecosystem.

SafeScope is designed as open infrastructure for education and responsible practice, so more people can participate in safer AI development.

01

Remove barriers

Free assessments and courses so cost is never the reason someone skips safety work.

02

Build literacy

Clear language and structured learning for students, startups, and public-interest teams.

03

Ground decisions

Source-led research and transparent scoring that help people explain risk with confidence.

Start today

Put safer AI within reach of every builder.

Run a free assessment in minutes. No paywalls. No upgrade prompts. Just practical tools for a safer AI ecosystem.

Read the research