AI at the Crossroads of Human Connection: Green Light or Red Flag?
AI at the Crossroads of Human Connection: Green Light or Red Flag?
By Elizabeth Pullman, Director of Talent, Parthenon Management Group, LLC
At IMEX Frankfurt 2026, emerging leaders from across the association and meetings industry gathered for a thought-provoking session during the IAPCO & AMCI Joint Associations Emerging Leaders Workshop titled “AI at the Crossroads of Human Connections: Green Light or Red Flag?” The session explored one of the industry’s most pressing questions: how can organizations embrace artificial intelligence while preserving the human connection that defines events and associations?
The interactive workshop opened with attendees voting on whether AI represented a “green light,” “yellow light,” or “red light” for the industry. Most participants initially chose yellow, proceed with caution, while only one participant selected red. By the end of the session, several attendees shifted toward a more cautious perspective, highlighting the nuanced and evolving conversation surrounding AI adoption.
The panel featured Jonathan Easton, Co-Founder & VP of Product Design at Gevme & Snapsight; Jeanne Sheehy, Chief Marketing Officer at Bostrom; and Irene Charalambous, General Manager at ERA Congresses & Events. Together, the speakers presented a balanced view of AI’s opportunities, limitations, and ethical considerations.
AI’s Potential to Transform the Industry
Easton emphasized that AI represents a significant leap beyond previous technology waves because it can capture not only operational data, but also the qualitative value of events. For the first time, organizations can measure intellectual engagement, conversations, images, and nuanced interactions that make meetings meaningful.
He also discussed how organizations can scale their expertise by training AI systems using internal knowledge and organizational voice. What once acted as a bottleneck by means of years of institutional knowledge held by only a few individuals, can now become a multiplier when thoughtfully integrated into AI workflows.
At the same time, Easton stressed the importance of demystifying fears around AI. Practical measures such as disabling data training settings, anonymizing sensitive information, and requiring AI systems to verify claims can help organizations mitigate confidentiality and accuracy concerns.
Human-Centered AI Remains Essential
While enthusiasm for AI’s capabilities continues to grow, the session reinforced that technology must remain human-led and human-designed.
Sheehy shared Bostrom’s approach to implementing AI through a human-centered design framework grounded in empathy, inclusion, genuine connection, and purpose-driven experiences. Rather than pushing AI adoption indiscriminately, her organization focuses on structured governance, clear oversight, and role-based guidance on how and when AI should be used.
One of the most practical takeaways from the session was the importance of creating content sensitivity frameworks. Organizations can categorize information based on confidentiality levels and establish approval processes, usage guidelines, and tool restrictions accordingly. This governance model allows teams to innovate responsibly while protecting sensitive data.
The speakers also highlighted the importance of ongoing training and standardization. AI adoption is not simply about introducing tools. It requires building organizational understanding and confidence over time.
Proceeding with Caution
Charalambous offered a more cautious perspective, emphasizing that AI’s impact may be slower and more complex than many organizations expect. Research discussed during the session suggested that despite significant investments, most organizations are still struggling to achieve measurable return on investment from AI initiatives.
One major concern raised was AI’s “false confidence.” While humans also make mistakes, AI systems often present inaccurate information with certainty, increasing the risk of misinformation being unknowingly shared or acted upon. The panel repeatedly emphasized the importance of human verification, particularly for strategic or high-stakes decisions.
Another concern centered on the erosion of critical thinking skills. Speakers compared AI dependence to the way GPS navigation has diminished people’s natural sense of direction. Overreliance on AI may weaken essential human capabilities such as strategic thinking, creativity, and judgment if organizations fail to intentionally preserve and exercise those skills.
From Strategy to Practical Application
The workshop concluded with collaborative breakout exercises where participants tackled real-world scenarios both with and without AI tools. The exercise revealed that AI excels at supporting analytics, drafting timelines, creating presentations, and assisting with problem-solving. However, AI struggled with areas that rely heavily on organizational context, human relationships, and emotional intelligence.
Participants found that AI could not effectively determine team dynamics, navigate approval authority, interpret organizational culture, or fully account for legal and regulatory nuances. The exercise reinforced a central theme of the session: AI is most powerful when paired with human oversight and expertise.
For association and event professionals, the takeaway was clear. AI is neither entirely a green light nor a red flag. Instead, it represents a rapidly evolving tool that requires thoughtful governance, continuous learning, and a strong commitment to preserving authentic human connection.
As the industry continues to experiment with AI, the organizations that succeed will likely be those that balance innovation with intentionality by leveraging technology to enhance human experiences rather than replace them.

Elizabeth Pulliam, Director of Talent, Parthenon Management Group, LLC