Use the rubric before export to identify weak reasoning and unsupported conclusions.
PORTFOLIO PRACTITIONER LABPrinciplesAI
PrinciplesAI
Responsible AI principles review
Translate fairness, transparency, accountability, robustness and human-centred values into practical questions, controls and launch criteria.
Start PrinciplesAI 40–50 min
Week 2 · Fictional scenario · reviewer challengeYour answers save in this browser. Use no real personal, client or confidential data.
YOUR ROLE
You are the Responsible AI reviewer.
Assess possible harms and decide when the proposed intervention should be paused or blocked.
- Stakeholder Map
- AI Harm Assessment
- Probability/Severity Harms Matrix
- OECD AI Principles Mapping
Training simulation only.All organisations and system details are fictional. This is not legal advice or a compliance guarantee.
PRACTICE MODELoading
Restoring your saved mode and lab work…
01
Responsible AI
Stakeholder Map
02
OECD principles
AI Harm Assessment
03
Harm assessment
Probability/Severity Harms Matrix
PRACTITIONER STANDARD
Build it. Challenge it. Defend it.
This lab includes practice setup, professional review criteria, challenge questions, traceability and readiness evidence.
Does the assessment identify who may be harmed and set a credible launch-blocking threshold?
Evidence must be relevant, attributable, current and strong enough to support the decision.