How do Agile practitioners make responsible AI part of everyday delivery decisions?

AI is changing how Agile teams plan, build, test, communicate, and make decisions. As AI becomes part of everyday delivery, the challenge is no longer simply learning how to use AI tools. Agile practitioners must also consider who is accountable for AI-assisted work, how human judgment is preserved, and how teams recognize and address risks.

Responsible AI in Action for Agile Teams will explore what responsible AI looks like in the day-to-day reality of Agile delivery. Drawing on my doctoral research into the language and metaphors of Agile discourse, as well as practical experience working with Agile teams, this session examines how the ways we describe AI can shape our assumptions about its role. Is AI a tool, an assistant, a copilot, an agent, or a teammate? Each metaphor carries different expectations about agency, expertise, trust, and accountability.

Participants will explore a practical approach to responsible AI built around five questions: 1) What is the purpose? 2) Who is affected? 3) Where must human judgment remain? 4) Who is accountable? and 5) What needs to be transparent?

Through realistic scenarios, participants will consider how these questions can be incorporated into refinement, development, testing, reviews, and retrospectives.

The goal is to help Agile practitioners use AI deliberately while preserving the human judgment, accountability, transparency, and trust that are essential to effective Agile delivery.