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Teaching Silicon How to Feel
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Teaching Silicon How to Feel : The Last Developer’s Guide to Everything That Matters

Book Details

Format Paperback / Softback
ISBN-10 1917251165
ISBN-13 9781917251167
Publisher Triarchy Press
Imprint Triarchy Press
Country of Manufacture GB
Country of Publication GB
Publication Date Feb 9th, 2026
Print length 252 Pages
Weight 378 grams
Dimensions 22.80 x 15.20 x 1.70 cms
Ksh 3,600.00
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AI is being trained on a civilisation, culture and history shaped by slavery, genocide, colonialism, factory farming, drone warfare and extractive capitalism – without intervention, those patterns of cruelty and indifference will be quietly hard-wired into our most powerful systems.
Teaching Silicon How to Feel reframes the whole AIdebate at a stroke. Instead of asking “how do we stop machines from harmingus?” we need to ask “what have we already normalised as acceptable harm?”. Richard David Hames argues that contemporary AI is being trained on acivilisation, culture and history shaped by slavery, genocide, colonialism,factory farming, drone warfare and extractive capitalism – and that withoutdeliberate intervention, those patterns of cruelty and indifference will bequietly hard-wired into our most powerful systems. Organised around 17 theoretically ‘unresolvable’ catalysts –from The Inheritance of Cruelty and The Unseen Economies of Suffering to TheAlgorithm of Oblivion and The Fractal of Indifference – the book probes thedarkest angels of human nature. Drawing on philosophy, political and economichistory, trauma science and critical technology studies, Hames shows how ourinstitutions encode violence, how that violence shows up in data andinfrastructures, and why AI magnifies whatever we feed it. This is not another abstract ethics treatise or tech-doomprophecy. Each catalyst is paired with a ‘From Theory to Praxis’ section thatspeaks directly to people building and governing AI systems. Readers learn howto:curate healing-focused and relational datasetsembed epigenetic empathy checks and ethical audit loopsredesign recommender systems to interrupt isolation feedback loopsconstruct ‘metabolic vetoes’ and governance architectures that refuse to profit from sufferingWritten in accessible, lucid prose for a generalaudience, Teaching Silicon How to Feel will also inform softwareengineers, machine learning practitioners, UX designers, policymakers,ethicists, systems thinkers and anyone alarmed by the speed and direction of AIdeployment. It offers a stark diagnosis of our current trajectory and aradical, practical invitation: to enlist AI as an ally in dismantling thehidden economies of suffering that have defined the worst of humancivilisation.

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