Look out of the window and you won’t see many robots – but the AI revolution is here. The relentless encroachment of machine-thinking into every aspect of our lives is transforming the way we think and act. Machine-learning algorithms drive our smartphones and social media - and they are increasingly present in our homes, offices, schools and hospitals. Whether driving cars, diagnosing disease or marking essays, artificial intelligence is everywhere. But how does machine-thinking compare to human thought and what are the limitations of AI? From biased training data to impenetrable black-box algorithms, Quentin Cooper and guests explore the strengths and limitations of AI. To discuss whether we need AI are - Zoubin Ghahramani, professor of Information Engineering at the University of Cambridge and deputy director of the Leverhulme Centre for the Future of Intelligence; Lydia Nicholas, senior researcher at the British innovation foundation Nesta; Professor Kentaro Toyama of the University of Michigan, co-founder of Microsoft Research India and author of Geek Heresy: Rescuing Social Change from the Cult of Technology. (Photo: A woman uses a mobile phone as she walks in front of an autonomous self-driving vehicle as it is tested in a pedestrianised zone. Credit: Getty Images)