AI Ethics and Governance

Structure and facilitate AI ethics review processes, prepare case materials for ethics boards, and help teams navigate contested ethical decisions about AI system deployment.

Assess your organization's AI governance maturity, identify capability gaps, and build a structured roadmap to responsible, compliant, and resilient AI governance.

Conduct human rights impact assessments for AI systems, identifying risks to fundamental rights including privacy, non-discrimination, due process, and freedom of expression.

Design AI incident reporting systems, draft post-incident disclosure communications, and build internal escalation protocols for AI system failures and harms.

Analyze AI regulatory requirements including the EU AI Act, GDPR, and sector-specific rules, and map compliance obligations to specific AI systems and organizational processes.

Build structured AI risk assessment frameworks, risk registers, and tiered classification systems aligned with NIST AI RMF, EU AI Act, and organizational risk appetite.

Design explainability strategies, model cards, and transparency documentation for AI systems to meet regulatory requirements and build user and stakeholder trust.

Develop algorithmic accountability frameworks, impact assessment policies, and governance structures for organizations deploying AI in consequential decision-making.

Draft responsible AI policies, ethical use guidelines, AI codes of conduct, and governance charters for organizations building or deploying artificial intelligence.