HR is the last human checkpoint before AI decisions affect people.
The RAIHR Framework defines what that responsibility looks like — and the RAIHR Certified Practitioner designation confirms that HR professionals are equipped to fulfill it.
AI is making employment decisions. HR is accountable for them.
Hiring algorithms screen thousands of candidates before a human sees a single application. Performance systems generate scores employees cannot explain or challenge. Monitoring tools capture behavioral data far beyond what any role requires.
These are not edge cases. They are the operational realities of organizations that have adopted AI without building the governance capacity to accompany it. When AI-assisted decisions cause harm, the accountability falls on HR.
“The question is not whether HR needs professional standards for AI governance. The question is whether HR professionals have the verified capacity to fulfill that responsibility.”
The Framework
A framework built for HR — not for data scientists.
The RAIHR Framework defines seven dimensions of judgment and responsibility that HR professionals must exercise when AI is present in employment decisions. It is not a technical framework. It defines what HR must see, what HR must do, and what HR must be prepared to refuse.
Recognition Capabilities— what HR must be able to identify
01
Fairness
Identify and challenge unfair outcomes in AI-assisted employment decisions
02
Transparency
Ensure candidates and employees understand AI's role and can challenge results
03
Privacy
Define and defend the boundaries of how HR data is used in AI systems
04
Security
Require vendors to demonstrate — not merely claim — the security of HR systems
Action Capabilities— what HR must be able to do
05
Human Oversight
Protect the irreducible role of human judgment in employment decisions
06
Accountability
Build and maintain governance structures that make responsible AI use enforceable
07
Sustainability
Treat AI deployment as a continuous governance commitment, not a one-time decision
Verified capacity. Annual standard. Global recognition.
The RAIHR Certified Practitioner designation is awarded to HR professionals who have demonstrated, through a standardized assessment, their capacity to apply the RAIHR Framework in practice. The examination tests professional judgment — not memorization. Open book, scenario-based, renewed annually.
The RAIHR Framework is aligned with the principal international and national frameworks governing AI in employment contexts — relevant to HR professionals in any jurisdiction.
EU AI Act
HR applications explicitly classified as high-risk; Article 26 places direct deployer obligations on HR
NIST AI RMF
Govern, Map, Measure, Manage applied to employment AI contexts
OECD AI Principles 2024
Human-centred values, transparency, and accountability in AI deployment
ISO 42001
AI management system standard; continual improvement requirements
China PIPL & Algorithm
Data protection and algorithmic governance for China-based deployments
UNESCO AI Ethics
Human rights and dignity as foundational requirements in AI deployment
HR is accountable. The framework is here.
The RAIHR Certified Practitioner program is open to HR professionals globally. Examination available in English and Simplified Chinese.