For AI Teams & Managers

Is Your AI Project Ethically Sound?

12 yes/no questions covering the 8 pillars of ethical AI. Get a risk report with specific gaps and recommendations in under 4 minutes.

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Bias Testing

Systematic fairness evaluation

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Data Consent

Lawful data collection & use

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Transparency

Explainability & documentation

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Human Oversight

Meaningful human control

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Accountability

Clear ownership & processes

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Privacy

Data minimization & protection

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Fairness

Equitable outcomes across groups

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Accessibility

Inclusive design & access

Bias Testing

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Ethics Risk Report

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out of 12 criteria met

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Criteria Passed

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Gaps Identified

AI ethics is covered in depth on Day 3 of the bootcamp.

Learn bias testing, explainability frameworks, governance, and how to build ethical AI into your systems from the ground up.