HRMLESS Trust Center
Data as of Sep 5, 2026, 11:31 PM UTC

AI Governance

HRMLESS is committed to the responsible development and deployment of AI systems. Our governance program is built on the NIST AI Risk Management Framework and ensures fairness, transparency, and accountability across every AI-powered feature.

Program at a glance

AI Systems Governed

4

Model Cards Published

2

Bias Tests Passing

12

RMF Coverage

100%

States Covered

6

Regulatory

Our Approach: NIST AI RMF

We structure our AI risk management around the four core functions of the NIST AI Risk Management Framework (AI RMF 1.0).

Govern

Establish and maintain organizational AI risk management policies, processes, and accountability structures.

Map

Identify and categorize AI systems, their intended uses, stakeholders, and potential impacts across the organization.

Measure

Assess and track AI risks using quantitative and qualitative metrics including bias testing and performance monitoring.

Manage

Prioritize and act on AI risks through mitigation strategies, human oversight controls, and continuous improvement.

Responsible AI Principles

These principles guide every AI system we build, deploy, and operate.

Fairness

AI systems treat all individuals equitably regardless of protected characteristics.

Transparency

Clear disclosure of AI use, decision-making processes, and system capabilities.

Accountability

Defined ownership, audit trails, and governance structures for all AI systems.

Privacy

Data minimization, purpose limitation, and robust privacy controls in AI pipelines.

Safety

Rigorous testing, fallback mechanisms, and risk-tiered deployment safeguards.

Human-Centered Design

AI systems augment human decision-making rather than replacing it.

Continuous Improvement

Ongoing monitoring, testing, and refinement of AI systems and governance.

Explore Our AI Governance Program