Belinda Biscoe, Ph.D. (HOF, 2018)
Senior Associate Vice President for Outreach/College of Continuing Education, The University of Oklahoma, and Executive Director, International Adult and Continuing Education Hall of Fame
In late 2023, artificial intelligence (AI) landed in higher education almost overnight. At University Outreach and the College of Continuing Education at the University of Oklahoma, an organization of about 1,400 employees, the questions came fast: Would AI take jobs? Would it undermine learning? Could it even be trusted? Instead of leading with new tools or new rules, we decided to lead with people.
Starting With Fear, Not Features
Our 2024 baseline survey told us exactly where we stood: half of our staff had never used AI at all, 42% were worried about its impact on higher education, and only 28% saw any real benefit to their own work. One colleague put it bluntly: "I absolutely do not support Outreach using AI in any form or fashion."
Rather than argue people out of that fear, we made space for it. Our first State of Outreach event in February 2024, Outreach in the Age of AI, gathered roughly 240 employees not to sell them on AI, but to let them ask hard questions out loud, together. That single decision, treating skepticism as useful information rather than a problem to fix, shaped everything that came after.
From Curiosity to Everyday Use
By our second year, the shift was unmistakable. Of 208 employees surveyed after our 2025 event, 74% were now using AI regularly or occasionally, mostly for writing, research, and brainstorming. Optimism nearly doubled, from 28% to 48%.
What changed wasn't the technology; it was relevance. Six workshops in 2024 grew to nine in 2025, plus an all-day Microsoft Copilot training for 80 employees. People stopped asking "what is AI?" and started asking "how does this help me on Tuesday?" That's classic adult learning theory at work: as Malcolm Knowles (1980) observed, adults engage most when learning connects directly to real, immediate problems, not abstract concepts. And their concerns matured right along with their skills: the top worries were no longer existential; they were practical questions about ethics and accuracy.
The Real Turning Point: The Human Edge
Our third year, themed The Human Edge: Evolving with AI, is where the story got interesting. By May 2026, 95% of our roughly 275 attendees could name the human skills that matter most in an AI-enabled workplace: judgment, ethics, creativity, collaboration. Ninety-four percent understood why human oversight still matters, and 86% left the event committed to strengthening a specific human skill.
One response stuck with me: "The fear that AI will take over jobs was nullified." Another: "Professional judgment is more important now than ever." That's the real headline. We didn't just teach people to use a tool. We helped them rediscover what makes their own contribution irreplaceable.
A Five-Stage Path Other Institutions Can Use
Looking back across three years of surveys, workshops, and events, a clear pattern emerged, one I believe any institution can adapt:
• Leadership Commitment — leaders model curiosity publicly, not just policy.
• Baseline Assessment — survey honestly before you design anything.
• Organization-Wide Awareness — shared events build common language and reduce isolation.
• Hands-On Skill Development — role-specific, practical workshops, not generic overviews.
• Human-Centered Integration — deliberately reconnect people to judgment, ethics, and creativity.
Skip the first two stages, and even the best training falls flat. Skip the last one, and you'll get AI adoption without wisdom, which is its own kind of risk. The pattern tracks closely with John Kotter's (1996) classic model of organizational change, which holds that transformation sticks only when leadership commitment, communication, and reinforcement are sustained over time, not delivered in a single push.
What I'd Tell Any Institution Starting This Work
Begin with literacy, not policy; rules mean little to people who don't yet understand what they're governing. Survey before you design and take the fear seriously instead of rushing past it. Build shared experiences that give people a common language. And never let the conversation stay only about the technology. The organizations that will thrive with AI are the ones that invest as much in their people's judgment, ethics, and creativity as they do in their platforms.
Three years ago, half our workforce had never touched AI, and many feared what it might do to their jobs. Today, most use it regularly, and nearly all of them can tell you, clearly, what no AI can replace with their own work. That shift in self-understanding, more than any usage statistic, is the outcome I'm proudest of.
Continue the Conversation
Belinda Biscoe’s reflection invites us to think beyond whether we should use AI and consider how we can integrate it while strengthening the human qualities that technology cannot replace.
We invite you to share your insights:
- How has your own perspective on AI changed as you have gained experience using it?
- What helped—or would help—people in your organization move from uncertainty about AI to meaningful use?
- Which human skills do you believe become even more important as AI becomes part of our work and learning?
- How can leaders create space for questions, concerns, and experimentation as organizations adopt AI?
- What does the “human edge” mean to you in an AI-enhanced world?
Join the conversation. Share your experiences, questions, and lessons learned as we explore how adult and continuing education can help shape a future in which AI strengthens—not diminishes—the human dimensions of learning and work.
References
Knowles, M. S. (1984). The adult learner: A neglected species (3rd ed.). Gulf Publishing.
Kotter, J. P. (1996). Leading change. Harvard Business School Press.


