How to Integrate Ethical AI into Definition of Ready?

For AI-driven features, the DoR should include explicit checks related to ethical considerations. This might involve questions such as: Has a potential bias assessment been performed on the training data? Are the fairness implications for different user groups understood and documented? Are there clear guidelines for the model's intended use and potential misuse? What mechanisms are in place for transparency and explainability? Addressing these questions upfront helps prevent the deployment of AI systems that could perpetuate harm or lead to reputational damage.

Product managers play a crucial role in championing ethical AI considerations within the DoR, collaborating with legal, compliance, and ethics experts. Agile coaches can facilitate discussions around ethical AI during refinement, helping teams develop a shared understanding of responsible AI development. Enterprise executives demonstrate a commitment to corporate social responsibility and risk mitigation by embedding ethical AI into the very start of the development lifecycle, building trust with customers and regulators, and ensuring sustainable AI innovation.