Categories: Agile, Artificial Intelligence, Ethics Introduction The acceleration of artificial intelligence (AI) development has made Agile methodologies, especially Scrum Sprints, a common approach for building and refining AI models. While Sprints offer rapid iteration and delivery, they also present unique risks—chief among them is the potential for bias to creep into AI models. Bias can undermine model fairness, erode user trust, and cause real-world harm when deployed.