FieldsAI Safety & Governance Specialist
AI Safety & Governance Specialist
Keep AI systems responsible, compliant, and aligned with policy.
Career
What you learn
- The real harm surface of an AI system, mapped without hype or dismissal
- Risk and threat modelling for systems that behave probabilistically
- Policy that can actually be enforced, and compliance that is evidenced
- Assurance that states plainly what it does not cover
What you will understand
- Governance theatre, and why it is worse than no governance at all
- Fairness as a value laden choice rather than a single number
- A green evaluation result is a bounded claim, not a guarantee
- Independence, and what it costs when the answer is inconvenient
How you will practice
- Turn a vague principle into a policy line whose violation you could detect
- Choose a fairness definition explicitly and defend what that choice costs
- Deliver a not ready verdict under schedule pressure and hold it on evidence
What you will build
- A governance package with enforceable policy and a real compliance evidence chain
- An assurance engagement with coverage boundaries stated on every result
The proof you build
Evidence that you can make an organisation AI demonstrably responsible and say so honestly when it is not.
Your work is observed with your consent, scored for independence and assistance, and turned into proof that carries a confidence level. The career path can reach a high-assurance credential, anchored by a scored capstone.
What is not live yet
The desktop app, consent-based observation, scoring, and credentials are in development. Nothing here implies they are live yet.
Get early access