This panel examines the risks, constraints, and structural consequences of AI adoption in technical communication work. Panelists will address hallucinations, validation practices, operational and security risks, shadow AI, data governance, and the increasing gap between organizational hype and measurable value. The discussion moves beyond individual productivity to consider how AI reshapes labor, accountability, and trust in professional communication environments.

Panelists bring perspectives from enterprise systems, product security, and documentation leadership to challenge common narratives about human-in-the-loop workflows and AI management roles. By foregrounding failure cases, risk exposure, and ethical tensions, this panel aligns closely with the symposium’s focus on future-proofing practices that prioritize resilience, transparency, and long-term responsibility over novelty or speed.