Designing Responsible Agentic AI Systems: New UX Research Methods for Trust and Accountability
By
[email protected] (Victor Yocco)
Crisp on the outside, thoughtful on the inside. A keeper.
Summary
The article discusses the emergence of agentic AI systems that can plan, decide, and act autonomously, moving beyond generative AI to proactive systems. It emphasizes the need for new UX research methods focused on trust, consent, and accountability when designing these systems. The author outlines how agentic AI transforms customer experience and operational efficiency, requiring leadership to adopt new strategic approaches for responsible design.
Key quotes
· 4 pulledDeveloping effective agentic AI requires a new research playbook.
When systems plan, decide, and act on our behalf, UX moves beyond usability testing into the realm of trust, consent, and accountability.
Agentic AI stands ready to transform customer experience and operational efficiency, necessitating a new strategic approach from leadership.
This evolution in artificial intelligence empowers systems to plan, execute, and persist in tasks, moving beyond simple recommendations to proactive action.
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