What Engineers Should Not Do with Artificial Intelligence
Artificial intelligence is helping software professionals move faster than ever—generate code faster, write tests faster, analyze results faster, and in some cases, make bad decisions faster too. Somewhere along the way, “Let’s validate that” started losing ground to “Looks good to me,” and tool-using agents started sounding less like a risk and more like a productivity hack.
In this keynote, Tariq King takes a playful but practical look at the habits engineers need to stop bringing into the age of AI. From trusting plausible output as truth, to outsourcing judgment, to deploying systems no one can really observe, explain, or contain, this talk explores the all-too-human ways we misuse intelligent systems. Learn why faster output does not remove engineering responsibility, why human-in-the-loop is not always the safety net people think it is, and why the more power we give AI, the less careless we can afford to be.
Join Tariq for sharp examples, uncomfortable laughter, and a risk-based perspective on how to use AI without losing your mind or your standards.