Marketers, CX, product and UX professionals are increasingly familiar with behavioural science. We understand shortcuts, biases, framing effects and defaults, and often use them intentionally to influence consumer behaviour.

But what happens when we become the ones being influenced?

This talk explores the “bias blind spot” in AI-assisted work: the tendency to treat AI as objective, neutral intelligence while underestimating how easily it can reinforce our own assumptions. From confirmation bias and anchoring to framing effects, availability bias and overconfidence, AI can make biased work feel more credible because the outputs are fast, polished and authoritative.

In this session we discover how familiar cognitive biases appear in everyday AI use, and what we can do to challenge them. Participants will leave with practical tactics such as counter-prompting, reframing, alternative hypotheses, assumption checks and deliberate disagreement.