AI Governance Assessment
Review policies, leadership responsibilities, oversight procedures, documentation, risk controls, human authority, evidence requirements, and post-deployment monitoring.
Human-Centered AI Governance Institute
ETHICS · GOVERNANCE · ACCOUNTABILITY · IMPACT
Willcox, Arizona
Advisory and education
Engagements help organizations understand AI risk, establish accountability, improve oversight, and communicate governance expectations clearly.
Work may be provided as a focused review, executive consultation, written analysis, governance education, or continuing advisory engagement.
Review policies, leadership responsibilities, oversight procedures, documentation, risk controls, human authority, evidence requirements, and post-deployment monitoring.
Clarify decision rights, material risks, oversight duties, executive accountability, and the questions leaders should ask before approving or continuing consequential AI use.
Develop practical AI governance policies covering acceptable use, human review, decision authority, privacy, procurement, reporting, monitoring, escalation, and incident response.
Evaluate organizational preparation, vendor claims, intended use, data requirements, governance responsibilities, human controls, evidence, and monitoring requirements before AI acquisition or deployment.
HCAI evaluates whether organizations have established appropriate governance before AI systems are authorized to act with increasing independence. Reviews address decision rights, delegated authority, system permissions, accountable ownership, monitoring, escalation, vendor dependencies, intervention capability, restriction and suspension authority, tested override and stop mechanisms, incident response, and reauthorization.
The greater the authority given to AI, the stronger human authority over that AI must become.
The objective is not to prevent responsible autonomy. It is to ensure that greater machine authority is matched by stronger organizational authority, clearly bounded delegation, demonstrable controls, and effective intervention capability.
Prepare boards, executives, professional teams, and staff to understand responsible AI use, governance responsibilities, ethics, risk, accountability, and meaningful human oversight.
Provide governance briefs, white papers, policy analyses, executive summaries, risk reviews, and specialized research addressing consequential AI governance issues.
Begin with a focused discussion of the AI systems, governance responsibilities, organizational risks, oversight questions, and decision needs involved.
Contact the Institute