Impact
Evaluating how AI affects individuals, employees, organizations,
communities, professional practices, and society.
Human-centered AI governance considers impact beyond technical
performance. Artificial intelligence can influence people,
organizational decisions, communities, and society. Responsible
governance therefore requires examination of both intended benefits
and possible unintended consequences at every level.
1
People
Human-centered governance begins with people. AI may support
analysis, recommendations, communication, and decision-making,
but people remain responsible for consequential decisions and
their outcomes.
Impact at the individual level includes human dignity, autonomy,
privacy, fairness, accessibility, safety, professional judgment,
employment responsibilities, and the ability to understand or
question an AI-supported decision.
Organizations should evaluate whether AI strengthens human
capability without weakening meaningful human authority,
accountability, or professional responsibility.
2
Organizations
AI affects how organizations evaluate information, allocate
resources, communicate, manage risk, provide services, and make
decisions. These capabilities can improve organizational
performance, but they also create new governance responsibilities.
Organizations need clearly assigned authority, defined
accountability, documented decision processes, appropriate operating
controls, human review, escalation pathways, and continuing monitoring
of AI systems before and after deployment. Named human leaders should
remain responsible for approval, documentation, intervention, and
corrective action.
Organizational impact should therefore be evaluated across
leadership, employees, professional practices, operations,
policies, risk management, clients, and other stakeholders who
may be affected by AI-supported decisions.
3
Communities
AI systems may affect people who never directly interact with
the technology. Decisions involving employment, healthcare,
education, financial services, public services, safety, and
access to resources can produce consequences throughout
communities.
Human-centered governance examines whether AI-supported systems
distribute benefits and risks fairly, whether affected
communities are considered in decision-making, and whether people
have appropriate ways to raise concerns or request human review.
Community impact also includes trust. Organizations should
consider how transparency, fairness, accessibility,
accountability, and responsible use influence public confidence
in both the organization and the technology it uses.
4
Society
The cumulative effects of artificial intelligence extend beyond
individual organizations and communities. AI can influence
employment, education, healthcare, economic opportunity, public
institutions, information, professional practices, and public
trust.
Responsible AI governance should consider these broader and
longer-term consequences, including whether AI systems reinforce
or reduce inequity, strengthen or weaken human responsibility,
and contribute positively to society.
Impact Requires Continuing Evaluation
Responsible AI governance does not end when a system is approved
or deployed. Organizations should continue evaluating intended and
unintended effects on people, organizations, communities, and
society throughout the AI lifecycle.
How the Institute Can Help
Services can be adjusted for boards, executives, healthcare
leaders, small businesses, educators, and organizations beginning
an AI governance program.
1
Governance Reviews
Review current AI policies, accountability structures,
oversight practices, and risk controls.
2
Executive Guidance
Help leaders understand AI risk, decision authority,
organizational duties, and human oversight.
3
Education and Speaking
Provide briefings, workshops, presentations, and educational
programs on responsible AI governance.
Build Accountability Before AI Risk Becomes a Crisis.
Begin with a discussion about your organization’s AI activities,
concerns, leadership responsibilities, and governance needs.