Overview
Artificial Intelligence is reshaping science, work and daily life, yet its roots stretch back more than 70 years. This talk traces that long history - from early symbolic systems to modern large language models - and explains how today’s models learn and why they behave the way they do. Along the way we’ll weigh the genuine opportunities - from new medicines to personalised education - against real concerns about jobs, bias, and environmental cost. Finally, we’ll consider where AI might go from here, and where the challenges remain much harder than current headlines suggest.