Why attend CLAIR?
Exploring the Implications of Artificial Intelligence for Scientific Methods and Organizational Leadership
Artificial intelligence is not only changing technologies — it is reshaping how organizations innovate, make decisions, and develop capabilities. Understanding these shifts is becoming essential for both researchers and leaders working in research-intensive environments.
CLAIR provides a unique forum where academia and industry meet to explore the deeper implications of AI for research, innovation, and leadership.
Unlike traditional AI conferences that focus primarily on technology, CLAIR addresses the broader questions: how AI influences scientific methods, how leadership and governance must evolve, and how organizations preserve critical thinking and accountability when intelligent systems increasingly support research and decision-making.
What You Will Gain
Participants will gain insights into:
- How AI is reshaping scientific methods and decision-making in research-intensive organizations
- Lessons from organizations already implementing AI - what works, what challenges remain, and the common pitfalls to avoid
- How leadership must evolve as intelligent systems become part of everyday research and innovation
- How competence requirements are changing, from traditional expertise toward AI literacy, systems thinking, and human judgment
- How leaders can guide organizations through technological and cultural transformation
Beyond operational questions, CLAIR also explores the broader implications of AI for accountability, responsibility, and trust in research and innovation.
Participants will benefit from cross-industry networking with leaders and researchers, enabling exchanges that rarely occur within traditional sector-specific conferences. Through keynote presentations, leadership dialogues, and interactive discussions, CLAIR is designed to be inspirational, thought-provoking, and intellectually challenging - stimulating new thinking while strengthening critical thinking about the role of AI in research and leadership.
The conference culminates in a collaborative workshop on Day 3, where participants jointly shape the CLAIR Research Agenda, identifying key research questions and opportunities for future collaboration between academia and industry.
Who Should Attend CLAIR
CLAIR is designed for leaders and experts working in research-intensive organizations, including:
R&D and Innovation Leaders, Academic Researchers & Professors, AI & Data Science Leaders, Senior Decision-Makers in Research-Intensive Industries, Policymakers & Research Infrastructure Leaders, Human Resources & Organizational Development Executives, Innovation & Strategy Professionals
CLAIR is where leaders and researchers come together to explore not only what AI can do, but what it means for the future of research itself.