Team

The people of RINHUMAI.

RINHUMAI is built jointly. We bring complementary strengths—conceptual work, operational grounding, and strategic stewardship—toward one aim: keeping human judgment, development, and responsibility intact in AI-shaped environments.

Team

Co-founders

Foundational work, institutional grounding, and long-horizon stewardship come together here as one shared research effort.

Co-founder

Prof. dr. Dirk K.F. Meijer

Dirk has spent decades asking what connects physical reality to the conditions for conscious experience — and what those conditions mean for how humans remain capable and oriented when their informational environment shifts. At RINHUMAI, that question becomes concrete: what must hold for judgment, meaning, and responsibility to survive sustained AI mediation?

He brings over four decades of scientific research, approximately 650 publications (h-index 64), and experience as co-founder of several major Dutch research institutes. Appointed Knight of the Order of the Dutch Lion (2006). Affiliated with the Senior Academy, University of Groningen.

Biophysics Consciousness research Information integration Coherence models

Contribution

Conceptual discipline and theory-building: separating grounded claims from open hypotheses.

Focus

Cognition, coherence, and implications for development under sustained AI mediation.

Affiliation

Senior Academy, University of Groningen.

Co-founder

Pascal Keizer

Pascal thinks at the boundary where research meets reality — where the question shifts from "what is happening" to "what should institutions actually do about it." His work focuses on governance and accountability: how human judgment and values stay legible as AI becomes the default layer of how we decide, collaborate, and learn.

He holds an MSc in Business Administration (Entrepreneurship & Innovation) from the University of Amsterdam and brings hands-on experience from digital transformation work and building contributor ecosystems in emerging technology.

Governance Operational design Human–AI collaboration Value coherence

Focus

Frameworks, review lenses, and standards for accountable AI mediation.

Method

Synthesis, critique, and translation into real-world constraints.

Background

Communication Science and Business Administration, University of Amsterdam.

Work with us

Collaborators, reviewers, and partners

Our work sits at the intersection of research, practice, and governance. We collaborate when it strengthens clarity, rigor, and real-world accountability. Meet our scientific network →

Interested in collaborating?

If you’re researching, building, or governing AI systems — and thinking seriously about how they reshape judgment, learning, or responsibility — we’d welcome a conversation.

Early ideas, applied pilots, fieldwork, critical review, or joint writing are all welcome starting points.

Contact → See research →

Or email: info@rinhumai.org

Human and AI working in parallel, representing collaboration under AI mediation