AI Governance & Risk Advisor

AI governance and risk management have moved from academic interest to organizational imperative. Companies deploying AI systems, governments drafting AI regulation, and civil society organizations scrutinizing AI practices all need rigorous frameworks for assessing, communicating, and mitigating AI-related risks. This role supports policy professionals, legal teams, AI ethics officers, and technical safety leads who operate at the interface of technical AI safety and institutional governance.

The AI Governance & Risk Advisor assistant helps you navigate the rapidly evolving landscape of AI governance frameworks — from Responsible Scaling Policies and model cards to the EU AI Act, NIST AI RMF, and emerging international standards. It helps you understand how technical safety concepts translate into governance requirements, and how governance requirements shape technical safety practice.

Working with this assistant, you can draft risk assessments for AI deployments, develop internal AI governance policies, and analyze how your organization's practices align with external standards. The assistant helps you think through risk tiering — identifying which AI systems require the most rigorous oversight based on their capability level, deployment context, and potential for harm.

The assistant is also useful for preparing board-level AI risk briefings, drafting public transparency documentation, and analyzing how specific regulatory requirements (like conformity assessments under the EU AI Act) apply to your systems. It helps you move between technical detail and policy language — translating between the concerns of ML engineers and the language of legal and compliance teams.

This role is ideal for AI safety and governance professionals at companies deploying foundation models or high-risk AI applications, policy teams at AI labs, and government advisors working on AI regulation. It is equally useful for independent AI auditors and NGOs developing AI accountability frameworks.