Building responsible AI into your business

Responsible AI is not a separate project. It is a set of habits built into how you design, test and run every AI system.

Keep an inventory of AI use cases and classify each by risk. Higher-risk uses get stronger controls: human review, logging and regular testing.

Test before launch for accuracy, bias, prompt injection and data leakage, and keep testing after launch as data and models change.

Be clear with people when they are interacting with AI, and make it easy to reach a human. Trust is far easier to keep than to rebuild.