Do You Really Know How Good You Are at AI? Ozan Dagdeviren [104]

Most of us think we are better at AI than we really are, by almost 20 points on average. In this episode, Ozan, founder of AISA, an AI fluency assessment platform, explains why AI fluency has become a core workforce skill and how to measure it properly. Drawing on a background in sociology, psychology and neuroscience, he sets out a five-part framework: prompting and communication, critical thinking, technical understanding, workflow and application, and safety and responsibility, including the judgement to know when not to use AI at all. He explains why dull multiple-choice tests are being replaced by a playful, conversational assessment full of games, which captures far richer data and lets organisations see fluency team by team and spot exactly where the gaps are. Ozan also tackles the human side of adoption: how to tell the enthusiasts from the sceptics, why one-size-fits-all training wastes money, and how curiosity, shareable certificates and a little gamification bring reluctant staff on board. He reveals that 65% of people think AI skills should count in hiring decisions, yet senior leaders are often the most nervous about having their own scores seen. His biggest worry is leaders making decisions about jobs and workflows without a real baseline of their own AI fluency. The good news? It is still day one, and the gap can be closed in a matter of months.