Everyday Chaos

Machine learning now produces answers that nobody can fully explain, and David Weinberger treats that as a change in how knowledge itself works. The book examines what happens when prediction, planning and explanation give way to systems that learn from enormous quantities of data, and why older models of control fit less and less of the world. Weinberger moves between technology, philosophy and everyday examples, from recommendation engines to scientific research, arguing that complexity is better worked with than stripped away. For readers in business or technology, the practical thread concerns how organisations decide anything when certainty is no longer on offer. Core themes: • How machine learning changes ideas of explanation and prediction • Examples drawn from business, science and everyday technology • A case for working with complexity instead of reducing it • Implications for strategy, planning and organisational decisions Suited to technology professionals, managers, students and general readers following artificial intelligence, available at Boipoka.