AI Ethics Review
Adili AI conducts independent ethical assessment of AI systems, models, and deployments. We work with organizations that want serious, evidence-based review of the AI they are building or using — the kind of review that produces useful findings, not reassurance.
What we review
- AI systems and models developed by organizations for their own use or for deployment to users
- AI-enabled products, services, and platforms before or after launch
- AI use in high-stakes contexts, including governance, security, information environments, and public services
- AI procurement and vendor decisions for organizations selecting third-party AI systems
- Existing AI deployments that require post-hoc review following incidents, controversies, or changing risk conditions
How we approach ethical review
Our review methodology draws from research ethics, algorithmic auditing, human rights impact assessment, and the specific contextual expertise of the communities affected by the systems in question. Each review is scoped to the specific system, its use context, and the questions the engagement is intended to answer.
Reviews typically examine:
- Purpose and appropriateness. Is the AI system solving a real problem, and is AI an appropriate solution given the alternatives?
- Data provenance and consent. Where does the training and operational data come from, and did the people it describes have meaningful agency over its use?
- Fairness and disparate impact. How do the system’s outputs distribute across different populations, particularly populations historically marginalized or under-represented in AI development?
- Contextual fit. Was the system designed for the context in which it is deployed, or imported from a different context onto users whose needs may differ?
- Transparency and explainability. Can affected parties understand what the system does, how it makes decisions, and what recourse they have when it errs?
- Accountability structures. What mechanisms exist for redress when the system causes harm, and are they meaningful?
- Governance and oversight. Who is responsible for the system’s behavior, and how is that responsibility exercised in practice?
What clients receive
Each engagement produces:
- A detailed written report of findings, appropriate to the audience (technical, executive, regulatory, or public)
- Specific, actionable recommendations
- Where relevant, a public-facing summary suitable for disclosure to affected communities
- Ongoing advisory support as recommendations are implemented, if desired
Who we work with
We work with organizations building AI, organizations deploying AI, and organizations subject to AI systems built by others. Our clients include private-sector companies, civil society organizations, foundations, and public-sector bodies. We are selective about engagements to ensure our independence and the quality of our work.
Independence
Ethical review is only valuable if it is independent. We do not conduct review work for organizations whose AI systems we have built. Where our practice areas could overlap in ways that raise conflict-of-interest concerns, we disclose this clearly and either recuse ourselves or engage third-party reviewers to maintain the integrity of the work.