Artificial Intelligence

Books That Explain AI Without the Hype

Most books about AI are either breathlessly optimistic or apocalyptically pessimistic. These three are neither. They take a clear-eyed look at what AI can do, what it can't, and why the human skills that become more valuable as machines improve are the same skills we've always needed.

AI can find patterns in extraordinary numbers. Whether it can tell insight from coincidence is a different question. These three books cover the fallacies that trip up data-driven decisions, the human judgement that becomes scarce as fluency becomes abundant, and the 12th-century idea of viriditas — the living greenness that separates growth from mere production.

Cover of AI and the Texas Sharpshooter Fallacy
01Decision Making · 120 minute read (6 Chapters)

AI and the Texas Sharpshooter Fallacy

Why New Knowledge Needs Old Wisdom

Artificial intelligence can find patterns in extraordinary numbers. Whether it can tell insight from coincidence is a different question. In an age that prizes data, dashboards and ever more powerful models, the people who stand apart are not those with the most information but those who know when to be sceptical of it. This briefing walks through five traps — the Texas Sharpshooter Fallacy, Survivorship Bias, the False Consensus Effect, the Monty Hall Problem and Simpson's Paradox — and shows how they trip up clever people, large companies and sophisticated systems alike. With memorable stories, business examples and practical lessons, it offers a sharper set of questions to carry into your next decision.

Cover of AI Knows the Notes. You Hear the Music.
02Decision Making · 99 minute read (10 Chapters)

AI Knows the Notes. You Hear the Music.

Ten Tests of Taste, Timing and Meaning in the Age of AI

Artificial intelligence can now generate hundreds of polished answers in seconds. The scarce skill is no longer fluency. It is judgement. AI Knows the Notes. You Hear the Music is a witty, practical guide to the human abilities that become more valuable as machines become more capable: taste, timing, context, restraint and the instinct to recognise what deserves to survive. Across ten entertaining blind tests, you compare human and AI-generated poems, jokes, metaphors, messages and creative ideas. Guided by Aristoxenus — the ancient Greek thinker who argued that mathematics could identify the notes but only a listener could understand the music — each short chapter includes an ancient insight, a workplace application, a one-minute exercise and a sentence designed to make you sound remarkably well informed before 9:05. AI can join the orchestra. It should not decide what the concert is for.

Cover of The Nun Who Knew What AI Never Will
03Future of Work · 75 minute read (5 Chapters)

The Nun Who Knew What AI Never Will

Hildegard of Bingen on Staying Human at Work

Artificial intelligence can write the email, summarise the meeting, build the presentation and recommend the next decision. But can it tell what matters? Nine hundred years ago, Hildegard of Bingen developed the idea of viriditas — the living greenness that separates growth from mere production, genuine creativity from repetition, and a thriving community from one that is slowly drying out. The Nun Who Knew What AI Never Will brings Hildegard's extraordinary life and thought into the modern workplace. Through the story of Rachel Chen, a 43-year-old manager facing an 'AI-first transformation', the book explores five human capabilities that become more valuable as intelligent machines improve: Voice, Aliveness, Discernment, Integration and Conscience. Do not try to beat the machine at being a machine. Become more fully human.

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