If AI generates misleading content, makes a biased recommendation or causes harm, who is responsible?

As organisations increasingly rely on AI, questions around accountability are moving from theory to reality. Through a series of realistic scenarios and real-world legal cases, this interactive webinar explores where responsibility may lie when AI gets it wrong.

Using a mock courtroom format, we’ll examine arguments from different perspectives, challenge common assumptions and discuss what organisations can do to reduce risk.

Whether you’re leading AI adoption, creating AI-generated content or developing governance policies, you’ll leave with a clearer understanding of the legal, ethical and practical questions every organisation should be considering.