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RESEARCH METHODOLOGY
We do not begin with conclusions. We begin with listening.

Humain Institute is a Swiss think tank and observatory studying how AI reshapes people, work and society. We combine public participation, interdisciplinary research and education to ensure that human perspectives remain at the centre of AI's development and impact.

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Our research employs mixed-method approaches combining qualitative reflections, quantitative surveys and thematic analysis. Responses are anonymised prior to analysis and are used solely for research, education and policy development in accordance with our research ethics principles.

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This methodology is grounded in the human-centred design thinking framework; specifically the discovery, synthesis, and ideation phases - which has guided transformation programmes across industries for over two decades by placing lived human experience at the centre of every design decision.

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Expected Outcomes

A Qualitative Evidence base of Lived Human Experience

Thematic Mapping of Human Concerns

A growing body of first-person testimony from professionals across industries and communities; capturing how AI-driven transformation is experienced at the individual level rather than the aggregate statistical one.

By grouping community responses across five core research themes (1) Your Work and Worth (2) The Human Edge (3) Who Is Responsible (4) The Next Generation, and Still Human. We will identify the most urgent, most shared, and most underrepresented concerns emerging from the people most affected by AI-driven work transformation.

A Human-Centred Policy Framework

Drawing on the qualitative data collected and the documentary interviews conducted across Season 1, we will develop a set of human-centred recommendations for organisations, educators, and policymakers navigating AI adoption; rooted in the lived experience of those inside the transformation rather than the projections of those observing it from outside.

A Contribution to Global AI Governance Dialogue

We will share these findings with policymakers, educators and international organisations shaping the future of AI governance; bringing the voices of ordinary professionals into conversations that too often exclude them.

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