Dr. Jacqueline Kucera

Rule-taker or Rule-shaper?

Dr. Jacqueline Kucera brought an institutional and human perspective to the regulation panel.

Four First Steps
Map where AI is used, classify each use by risk category, organise human oversight, and test automated workflows before they go live. Responsibility always stays with people, ultimately leaders and boards.

Transformation Is About People
From leading the digital transformation of the Swiss Parliament Library's data, she learned that reorganising data means redesigning every workflow, which takes training and multidisciplinary teams.

A Sectoral Approach for Switzerland
The AI Act does not cover everything, such as security and the military. Drawing on her work on the strategy board for Switzerland's AI strategy, she argued for regulating sector by sector, mapping systematically which rules apply to which institutions. She cited tax administrations where processing is automated end to end, but a human validates the final decision.

Revisit Governance Regularly
In her data-warehouse projects, systems were designed to adapt, with a governance maturity review of all processes every three months. She recommends multidisciplinary teams from the start, even in small organisations: someone technical, someone from the business, someone with legal knowledge.

Her Goal for the Coming Year
To convince small and mid-sized companies that efficiency does not come from buying new technology, but from adopting a new mindset across the organisation.

Efficiency comes not from buying technology but from adopting a new mindset across the organisation.

I work at the intersection of AI Governance, Leadership and Trust, with a focus on the responsible adoption of artificial intelligence. As a Research Fellow in the Information Management Unit at IDHEAP, University of Lausanne, I examine how institutions can develop the governance maturity, capabilities and responsibility structures needed to govern AI well over time. Earlier in 2026, I was a Visiting Research Fellow at the University of Tokyo, where I deepened my work on AI governance, leadership and trust across different institutional contexts. Alongside my academic work, I am the Founder of SOTRAI (Source of Trust in AI). Through SOTRAI, I help leaders, boards and institutions translate AI governance questions into practical structures for accountability, oversight and trust. My work builds on academic research and senior public-sector leadership. I previously led the Parliamentary Library, Research and Data Services of the Swiss Parliament, where information quality, institutional trust and responsible decision-making were central to my work. At the heart of my work is a simple conviction: AI may process information faster, but judgment, meaning and responsibility remain human work.