Katerina Karagianni

Katerina is the UX Consultant behind K Consulting, a usability expert and passionate UX trainer with more than 18 years of experience in the field.

Through K Consulting, she helps organizations improve their users’ experience through UX strategy, research, usability testing and continuous optimization. She also regularly delivers UX, usability and CX training sessions for professional teams, helping them build practical skills and apply user-centred thinking in their everyday work.

Over the years, she has collaborated with leading brands and organizations including Public, Gregorys, PMI, Plaisio, Kathimerini, Pizza Fan, Aegean, eFresh, Everest, Praktiker, eLearning Industry, WHEN and many more.

Before founding K Consulting, Katerina founded and directed UXlab, an ATCOM business unit dedicated to UX and usability. UXlab quickly became one of the most respected UX agencies in the Greek market, helping establish UX as an integral part of digital product and service design.

Earlier in her career, she co-founded Linkwise, the first and largest Performance Marketing Network in Greece, which remains a leader in its field. She has also served as Head of Digital Strategy at ATCOM and co-founded Days4u, an e-commerce website launched in 2007.

Presentation Title:
"The Bias Blind Spot: How AI Nudges Our Thinking at Work"

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 will 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.