A Strategic Forum for both Private Sector Practitioners, Leaders, Researchers, and Academics on Transformation in the Era of AI.
CLAIR addresses one of the defining challenges of the coming decade:
How artificial intelligence is reshaping the foundations of research, engineering, and innovation – and what this means for leaders, organisations and scientific progress.

CLAIR is the first international forum dedicated to the pressing leadership challenge of how artificial intelligence is reshaping the foundations of research, innovation, and decision-making for leaders of research-intensive organizations.
Over three days, CLAIR brings together leading thinkers from the private sector, academics, scientists, and AI experts to discuss strategies, governance, and organizational transformation in hybrid human–AI research environments, moving beyond tools and technologies.
Choose between either the Academic Ticket or the Industry Ticket to get a conference experience tailored to your professional focus.
CLAIR is structured around four tightly interconnected themes that together address how artificial intelligence is reshaping research-intensive work across industries. These themes are not treated in isolation; rather, they reflect the reality that changes in technology, method, leadership, and culture are deeply interdependent.
focuses on how AI alters the very logic of discovery and design. As algorithms generate hypotheses, run simulations, optimize experiments, or suggest interpretations, long-standing assumptions about experimentation, validation, causality, and explanation are challenged. CLAIR examines how scientific and engineering rigor can be preserved – and redefined – when reasoning becomes a shared activity between humans and machines.
addresses the growing need for clear responsibility in hybrid human – AI systems. When decisions are influenced by opaque models or automated recommendations, questions of oversight, trust, and accountability become central. CLAIR explores leadership models and governance frameworks that enable speed and innovation while maintaining responsibility, transparency, and ethical integrity.
highlights the cognitive dimension of AI adoption. Automation bias, over-reliance on algorithmic output, and epistemic overconfidence pose real risks to research quality. CLAIR focuses on how organizations can strengthen critical thinking, ensuring that human judgment remains active, sceptical, and scientifically grounded in AI-supported workflows.
recognizes that AI adoption is not only a technical shift, but an organizational one. Roles, workflows, incentives, and professional identities must evolve. CLAIR examines how cultures of trust, learning, and psychological safety can be cultivated so that AI enhances creativity and collaboration rather than constraining them. Together, these themes frame CLAIR’s ambition: to support responsible, high-quality research in an era of accelerating AI.
Cross-industry sessions to surface emerging practices, and insights on AI in research-intensive environments, and to set a shared intellectual baseline for the main conference day.
Compelling keynotes and discussions offer you a strategic understanding of how AI is reshaping research, engineering, and innovation across industries — and how you can transform know-how and technology into groundbreaking results for your organization and career.
An interactive day where you can convert your learnings into action. Move from insight to integration by developing leadership perspectives, shared principles, and actionable frameworks for managing AI in research-intensive environments.

The specific venue is yet to be announced.
Copenhagen is renowned not just for its iconic mermaid, but also as a center for innovation, technology, and forward-thinking scientists. CLAIR 2026 is scheduled for 16–17 September and will take place in Copenhagen; the specific venue is yet to be announced.