Strengthening human judgment, ethics, and learning in the age of AI. The real challenge isn't the technology. It's human readiness.
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, it shows why access to powerful tools does not automatically produce better outcomes, and how unprepared users can inadvertently create new risks.
You will leave with 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, along with a clear framework for integrating AI to enhance human expertise, accountability, and performance.
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.
Adam Hogan is Senior LMS Training Specialist at Rasmussen University, where he supports faculty and staff in the effective use of learning technologies across the institution. His work spans higher education, corporate training, and the implementation of large-scale learning platforms. He holds a Ph.D. in Leadership with research focused on AI literacy, trust, and ethical integration in teaching and professional practice. He also teaches philosophy and ethics, bringing a human-centered perspective to emerging technologies.