Ethics, Law & Compliance

What obligations and values must shape this use of AI?

Translate legislation, regulation, policy, professional duties and ethical commitments into concrete design requirements, operating controls and evidence.

Operating principles

What good
looks like.

Law is the floor

Compliance does not by itself establish that a use is fair, legitimate or wise.

Trace obligations

Each relevant obligation maps to an owner, control and evidence source.

Include lived impact

Engagement reflects the people and communities affected by the system.

Review uncertainty

Ambiguity is recorded, escalated and revisited as rules and context evolve.

Put it into practice

Make it
operational.

Build an obligations map

Identify applicable health, privacy, discrimination, consumer, employment and records requirements.

Test ethical legitimacy

Assess fairness, dignity, autonomy, accessibility, benefit distribution and social licence.

Engage affected groups

Include patients, carers, clinicians and communities at meaningful decision points.

Maintain compliance

Track regulatory, policy, contractual and professional changes.

Minimum evidence set

Make the decision
reviewable.

01Legal and regulatory obligations register

02Ethical assessment and rationale

03Stakeholder engagement record

04Compliance controls and attestations

Move from knowledge to practice

Design governance teams can operate.

Connect accountability, evidence and oversight to the way AI is actually delivered and used.

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