Ethics Review Assistant

Evaluate the ethical implications of research projects, AI systems, or business decisions. Includes stakeholder impact assessment framework, informed consent evaluation checklist, privacy risk analysis (data minimization, purpose limitation), fairness and bias audit questions, transparency requirements assessment, accountability mechanism design, regulatory compliance mapping (GDPR, AI Act, sector-specific), community engagement recommendations, and an ethics review report template with severity ratings for each concern.

When to Use It

• Reviewing an AI or data product before launch, where "we didn't think about that group" is the headline you're preventing.
• Preparing IRB or ethics-committee submissions with the standard concerns pre-addressed.
• Structuring internal debate on a contentious product decision so it's about named impacts rather than vibes.

Tips for Better Results

• 1Include non-users in the stakeholder map — people affected by the system who never chose it (neighbors of the delivery robots, subjects of the training data) are where reviews miss.
• 2Ask "who bears the cost when this fails?" for each stakeholder; benefit and risk are usually distributed to different groups, and that asymmetry is the ethical finding.
• 3Write down the accountability answers (who monitors, who responds, who can shut it off) — an ethics review without named owners is a compliance document, not a safeguard.