AI has moved from experiment to everyday tool. Teams rely on assistants for code, tests, analytics, and content, yet many are unsure how to handle bias, privacy, and transparency. When someone asks “Can we ship this AI feature, and is it safe,” Agile leaders are often the first people they turn to.

The “Ethical AI in Agile” session at Agile103 helps you turn high level AI principles into practical team habits. We start from your real context, where AI is already in use, and connect it to emerging frameworks such as the NIST AI Risk Management Framework and global efforts like the IEEE initiative on ethics of autonomous and intelligent systems.

From abstract principles to concrete team guardrails

Across AI ethics frameworks from IEEE, the EU, and the OECD, familiar themes keep showing up, such as fairness, human oversight, and accountability. In this event, you will turn those ideas into tangible working agreements, for example clarifying that humans stay accountable for decisions, documenting how data is used, and scheduling regular checks for harmful bias. Resources from the Partnership on AI and practical explainers from firms like IBM offer real examples you can adapt.

Weaving ethics into backlogs and ceremonies

Ethical AI should not sit in a separate slide deck. You will learn how to add light touch checks into refinement, Definition of Ready, Definition of Done, and reviews. Simple prompts like “Who could be harmed by this feature” or “What data are we relying on” help teams spot risk early.

We also touch on evolving regulation, including risk based approaches illustrated by the EU AI Act, and show how to connect legal expectations with Agile practices, without freezing innovation.

Join the November 2025 session

This event is ideal for Scrum Masters, Product Owners, coaches, and AI practitioners.

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