A practical 5-part learning series for managers, HR professionals and leaders navigating AI adoption. Five interactive virtual sessions:

January 14 | AI, Burnout, and Sustainable Work Design

This session introduces AI as a work design issue, not just a technology issue. Participants will explore how AI can reduce strain in some areas while increasing cognitive load, review burden, work intensity, and burnout risk in others.

January 21 | Psychological Safety in the AI Workplace

This session focuses on the cultural conditions needed for positive AI adoption. Participants explore why people may hesitate to admit confusion, disclose AI use, report mistakes, question outputs, or raise concerns about quality, privacy, workload, or role change.

January 28 | Trust, Judgment, and Review Fatigue

This session helps participants understand that AI does not remove judgment; it concentrates it. Participants learn how polished AI outputs can increase the verification burden and how to decide when to trust AI outputs, when to check them, and when to challenge them.

February 4 | AI and Job Design

Recognize how AI changes tasks before job descriptions catch up. Identify hidden work, clarify responsibilities, and rethink tasks while protecting human judgment, learning, and skill development. The session helps participants move from accidental AI-driven job redesign to intentional work design.

February 11 | Measuring the Human Impact of AI at Work

This session helps participants look beyond usage and time saved to assess whether AI is making work better. Explore measures of workload, quality, trust, role clarity, learning, and employee experience.

Learning Outcomes

Participants will leave better equipped to:

• Recognize how AI can affect workload, burnout risk, and sustainable productivity

• Use AI in ways that improve work without simply increasing pace, volume, or review burden

• Build team norms that make AI use, questions, mistakes, and concerns safer to discuss

• Understand that AI does not remove human judgment — it concentrates it — and apply the right level of review to AI-generated work

• Move from accidental AI-driven job redesign to more intentional role and workflow design as tasks change

• Measure the human impact of AI beyond adoption, prompts, and usage
  

About the Facilitator

Lianne Sarson is VP of Research at Thinkwell and has spent 18 years helping organizations understand people, work, change, and decision-making through applied research and consulting. With a Master of Science in Industrial/Organizational Psychology, Lianne brings a workplace-behaviour lens to AI adoption — focusing not on tools alone, but on how people learn, trust, resist, adapt, make mistakes, and experience changes in workload, roles, culture, and expectations.