AI incidents in marketing is a simple case archive for learning from marketing, advertising, and brand communication failures involving artificial intelligence.
The focus is practical: what happened, why it matters for marketers, and what governance questions teams should ask before using AI-generated creative, synthetic people, automated optimisation, or AI-assisted campaign tools.
What counts as an incident?
An incident can be a public backlash, a misleading claim, an unauthorised use of likeness, a poor disclosure practice, an automated creative change, or any AI-enabled marketing decision that creates brand, legal, ethical, or customer trust risk.
How to use the cases
Each case can support a short classroom discussion, a marketing risk review, or a Responsible AI workshop. The goal is not to avoid AI. The goal is to use it with better judgement, stronger review processes, and clearer accountability.