We connect artificial intelligence with human judgment to generate value, ethics, and trust.

Research & Publications


Evidence for Better AI Decisions. Research for Stronger Organizations.

The Human Agency in AI Council develops independent, multidisciplinary research connecting artificial intelligence, human judgment, organizational capability, governance, and responsible innovation.

Our work translates academic knowledge, professional experience, and real-world evidence into practical guidance for boards, executives, institutions, and professionals responsible for consequential AI decisions.

We examine not only what artificial intelligence can do, but how organizations can adopt it without weakening human expertise, accountability, institutional knowledge, or meaningful human control.

Independent

Our research is developed independently of technology vendors, political interests, and commercial platforms.

Multidisciplinary

We integrate perspectives from AI, governance, organizational behavior, neuroscience, law, ethics, business strategy, risk, and human capital.

Evidence-Based

Our work draws from credible research, professional experience, case evidence, organizational data, and structured review.

Action-Oriented

We translate findings into executive guidance, practical frameworks, assessments, and implementation priorities.

Research Priorities


Human Judgment and Decision-Making

Research on how AI affects critical thinking, professional expertise, decision ownership, cognitive dependency, and the quality of organizational judgment.

AI Governance and Executive Accountability

Research on oversight, decision rights, escalation, board responsibility, risk management, and meaningful human control.

Human-AI Collaboration

Research on how people and AI systems can work together to improve performance without displacing human responsibility, expertise, or autonomy.

Organizational Capability and Institutional Knowledge

Research on workforce readiness, professional learning, knowledge retention, organizational memory, and the capabilities required in AI-enabled environments.

Trust, Transparency, and Responsible Innovation

Research on explainability, confidence, legitimacy, fairness, ethics, stakeholder trust, and responsible technological development.

Sustainable Organizational Performance

Research connecting responsible AI adoption with productivity, resilience, employee capability, operational effectiveness, and long-term value.

Publication formats


Council White Papers

Substantive research examining consequential questions in human agency, AI governance, organizational capability, and responsible adoption.

Executive Briefings

Concise, decision-focused guidance for boards, executives, governance committees, and institutional leaders.

Applied Research

Research examining organizational challenges, cases, capabilities, practices, frameworks, tools, and outcomes.

Council Perspectives

Independent analysis of emerging issues, organizational risks, public debates, professional responsibilities, and developments in artificial intelligence.

A growing collection of Council white papers, executive briefings, applied research, and independent perspectives.

How Council Research Is Developed


Question Definition

Research begins with a consequential organizational, human, governance, or policy question.

Evidence Review

Contributors examine relevant academic research, professional evidence, organizational experience, and available data.

Multidisciplinary Analysis

Specialists from complementary disciplines evaluate the question from different perspectives.

Professional Review

Drafts are reviewed for evidence, logic, clarity, relevance, attribution, and potential conflicts of interest.

Executive Translation

Findings are translated into practical implications for boards, executives, institutions, and professionals.

Publication and Application

Research may be published as a white paper, executive briefing, applied study, Council perspective, framework, tool, or organizational resource.

From Research to Practice

Test the Ideas

Use the AI Lab to assess AI implementation, explore improvement scenarios, and translate research into organizational action.

Council Research Agenda


Foundational White Paper

Preserving Human Judgment in AI-Enabled Organizations

Examines how organizations can use artificial intelligence without weakening critical thinking, professional expertise, accountability, or decision ownership.

In Development

Executive Briefing

AI Governance for Boards and Executive Leadership

Practical guidance on oversight, accountability, risk escalation, human review, and responsible AI adoption.

Forthcoming

Applied Framework

Human Judgment and Decision Accountability Framework

A practical framework for evaluating how human judgment, expertise, responsibility, and meaningful control are preserved in AI-supported decisions.

In Development

Council perspective

Human Values by Design, Not by Default

An examination of how dignity, fairness, responsibility, autonomy, and meaningful human oversight can be incorporated throughout the AI lifecycle.

Forthcoming

Research That Informs Action


Board and Executive Governance

Research informing oversight, decision rights, accountability, risk priorities, and leadership responsibility.

Organizational Assessments

Research on AI readiness, governance, workforce preparedness, human oversight, and institutional risk.

Executive Education

Research translated into briefings, workshops, roundtables, and leadership programs.

Advisory and Consulting

Evidence supporting AI strategy, governance structures, organizational change, implementation, and performance.

Institutional & Academic Partnerships

Collaborative research, educational initiatives, organizational studies, and professional knowledge exchange.

Public & Professional Dialogue

Research supporting conferences, policy discussion, professional standards, and responsible innovation.

Research Integrity & Publication Standards

Council publications are guided by standards designed to protect quality, credibility, transparency, independence, and responsible professional practice.

Clear Authorship and Contributor Attribution

Appropriate References and Evidence

Disclosure of Material Conflicts of Interest

Multidisciplinary Professional Review

Distinction Between Evidence, Interpretation, and Recommendation

Protection of Confidential Information

Correction and Revision Procedures

Transparent Publication Status

Responsible Use of Artificial Intelligence in Research Development

Contribute to Council Research

For Institutions

We help organizations of all sizes govern AI strategically—protecting human judgment, empowering experts, and advancing responsible, sustainable value.

For Professionals

Join a selective council of senior professionals contributing to research, publications, advisory initiatives, education, and project-based collaboration.