Artificial intelligence is rapidly entering workplace learning, performance support, and decision-making systems. Yet many organizations are adopting AI tools faster than they are preparing people to use them responsibly and effectively. The real challenge is not the technology itself; it is human readiness.

This session presents research-informed insights into how AI literacy, trust, and ethical awareness shape the quality of AI use in learning and professional contexts. Drawing on empirical research and real-world examples, I will show why access to powerful tools does not automatically produce better outcomes and how unprepared users can inadvertently create new risks. You will explore practical strategies for developing “AI-ready” learners, employees, and leaders who can critically evaluate AI outputs, calibrate trust, and make responsible decisions when AI is involved. You will learn actionable approaches that you can implement immediately, including instructional design considerations, training priorities, and organizational practices that strengthen human judgment rather than replace it, and leave with a clear framework for integrating AI to enhance human expertise, accountability, and performance.

In this session, you will learn to:

• Identify the human capability gaps that limit effective AI adoption in learning and performance environments
• Apply strategies to build AI literacy and calibrated trust among learners and employees
• Design learning experiences that develop critical evaluation skills for AI-generated outputs
• Establish ethical guardrails for AI use in workplace learning initiatives

This session is designed for learning and development professionals and leaders who are familiar with AI tools but may not have deep technical expertise. No experience implementing AI solutions is needed. You should be aware of common generative AI tools and workplace applications.