Upcoming Webinar on Wednesday, April 8 at 11:00 AM EDT
About This Webinar
As AI becomes more embedded in systematic reviews and evidence synthesis workflows, organizations are under increasing pressure to adopt new tools quickly, often with the assumption that the benefits are clear and resistance can be overcome.
In practice, implementation is far more complex.
In this webinar, Dr. Ley Muller shares her experience building and leading the first AI team at the Norwegian Institute of Public Health during the COVID-19 pandemic. She reflects on what went wrong, from underestimating resistance to overlooking how introducing AI can fundamentally reshape decision-making and power structures within organizations.
This session offers a candid, experience-based perspective on AI in research workflows, focusing not on best practices, but on the real challenges of implementation and what others can learn from those missteps.
What You’ll Learn
- What it actually looked like to implement AI in systematic reviews during a high-stakes public health crisis
- The key mistakes made when introducing AI into research workflows, and how to avoid them
- Why resistance to AI is often more complex than it appears
- How AI adoption can redistribute decision-making and influence within organizations
- Practical ways to navigate governance, accountability, and institutional constraints
Speaker
Dr. Ley Muller
AI Governance Specialist
Dr. Ley Muller is a systematic reviewer turned AI governance specialist who led the first AI team at the Norwegian Institute of Public Health. Her work sits at the intersection of evidence synthesis, AI development, and governance.
She holds a PhD in clinical addiction treatment from the University of Oslo and has experience across academia, government, and AI development in Norway, the United States, Germany, and with the World Health Organization.
Dr. Muller serves on Norway’s national AI standards committee as the work group lead for risk management standards and contributes to European efforts to develop harmonized standards aligned with the EU AI Act. Her work focuses on helping organizations adopt AI responsibly while maintaining scientific rigor, transparency, and trust.
Host
Eitan Agai
CEO & Founder, PICO Portal
Who Should Attend
This webinar is designed for:
- Researchers and systematic review teams
- Evidence synthesis professionals
- Librarians and research support teams
- Organizations exploring AI adoption in research workflows
Key Details
Date: Wednesday, April 8
Time: 11:00 AM EDT (New York) / 3:00 PM GMT (UK)
Duration: 45-minute live session
Register to join live or receive the recording.