AI Transparency in HR Decisions: What to Disclose and How to Explain
People accept decisions more readily when they understand them. Transparency about AI in HR is a legal requirement in many places, and a practical condition for trust everywhere.
Short answer
AI transparency in HR decisions means telling employees and candidates when AI is used, what it does, what data it uses, how it influences decisions, who is accountable and how to question outcomes, and being able to explain individual outcomes in plain language. Legal drivers include the EU AI Act's transparency and deployer information duties and right to explanation, GDPR rules on automated decision-making, and local laws such as New York City's Local Law 144 and Illinois's AI Video Interview Act.
Key takeaways
- Transparency has three levels: that AI is used, how it works, and why a specific outcome occurred.
- Explanations should be in plain language and actionable.
- Transparency obligations are growing in number and specificity.
- If you cannot explain an outcome, reconsider using AI for that decision.
Three levels of transparency
| Level | What to communicate | Example |
|---|---|---|
| 1. Awareness | That AI is used | "You are chatting with an AI assistant." |
| 2. Process | What the AI does, what data it uses, how it influences decisions, who decides | "An AI tool summarises applications against job criteria; recruiters decide who is shortlisted." |
| 3. Outcome | Why a particular result occurred and what the person can do | "Your application was not progressed because the role requires X; you can request a review." |
Legal drivers
- EU AI Act: disclose AI interactions such as chatbots (from 2 August 2026); inform workers before using high-risk AI at work and inform people subject to high-risk AI decisions; right to explanation of AI's role in certain significant decisions (from 2 December 2027 for employment AI). See employer obligations.
- GDPR: transparency about processing, meaningful information about the logic of solely automated decisions with significant effects, and the right to human intervention.
- New York City Local Law 144: candidate notice and published bias audit summaries.
- Illinois AI Video Interview Act: notice, explanation and consent for AI analysis of video interviews.
Template: AI notice for candidates
We use [tool type] to help us [purpose, for example review applications against the job criteria]. It considers [types of information] and does not consider [excluded information]. Recruiters review its output and make all decisions about who progresses. If you need an adjustment or would prefer an alternative process, or if you have questions, contact [contact].
Template: explanation of an outcome
Your application for [role] was reviewed against these requirements: [requirements]. Our review, supported by [tool], found [main reason in plain language]. A member of our team, [role], made the final decision. If you believe information was missed or misunderstood, you can request a review by [date and method].
Making explanations meaningful
- Use plain language, not technical descriptions of models.
- Focus on the main factors and what the person could do differently.
- Be accurate: do not overstate human involvement or understate AI's role.
- Provide a real route to review or challenge.
- Require vendors to provide the information you need to explain outcomes.
See ethical AI in HR and AI hiring bias.
This is general information, not legal advice. Transparency requirements vary by jurisdiction.
Related guides
- Ethical AI in HR: A Framework for Responsible Use of AI with People
Principles, issues, governance and ethical review for using AI responsibly with people.
- EU AI Act Employer Obligations: Deployer Duties Explained
Each deployer duty for high-risk HR AI explained, with practical actions for HR.
- AI Hiring Bias: Causes, Real Cases, Law and How to Prevent It
Where AI hiring bias comes from, how it is measured, the law, and a prevention framework.
- AI Policy for Employees: Why You Need One and What It Should Cover
Why an employee AI policy is essential, what it covers and who owns it.
Frequently asked questions
What is AI transparency in HR?
Telling employees and candidates when AI is used, what it does, what data it uses, how it influences decisions and who is accountable, and being able to explain individual outcomes in plain language.
Do employers have to tell employees about AI?
Increasingly yes. The EU AI Act requires informing workers before high-risk AI is used at work and disclosing AI interactions, and data protection and local laws add further transparency duties.
What is the right to explanation for AI decisions?
Under Article 86 of the EU AI Act, people affected by certain decisions based on high-risk AI with significant effects can request a clear and meaningful explanation of the AI's role. The GDPR also requires meaningful information about the logic of solely automated decisions.
How do you explain an AI decision to a candidate?
Describe the requirements used, the main reason for the outcome in plain language, who made the final decision and how the candidate can request a review.