Ethics
An annotated collection of 17 books, papers & essays on ethics, spanning 1929 to 2026. Featuring works by Patrick Hamilton, George Orwell, Anthony Burgess and 14 more — each with editorial commentary oriented to digital product practice.
Rope
Hamilton's 1929 play constructs an entire dramatic tension from a single room, a single evening, and two men who believe their intellectual superiority exempts them from moral accountability — a disposition disturbingly…
Nineteen Eighty-Four
Orwell's dystopian novel remains the foundational text for understanding how information architecture becomes an instrument of power. The mechanisms of Newspeak—systematic reduction of vocabulary to constrain thought—pre…
A Clockwork Orange
Burgess wrote this novel as a direct assault on behaviourist psychology—specifically the Skinnerian premise that human conduct can be engineered through systematic conditioning, a premise that haunts every persuasive des…
Computer Power and Human Reason: From Judgment to Calculation
The man who built the first convincing chatbot spent the rest of his life warning us not to be fooled by it. Weizenbaum's ELIZA (1966) faked a therapist with a few pattern-matching rules, and he was horrified to watch pe…
A Scanner Darkly
Dick's semi-autobiographical novel presents a surveillance apparatus that destroys the very agents operating it — Bob Arctor spies on himself without recognising the subject, a structural metaphor for what happens when m…
Prince of the City
Daley's account of NYPD detective Bob Leuci's undercover work against police corruption is fundamentally a study in what happens when an informant becomes a system—when one person's decision to cooperate with institution…
Glengarry Glen Ross
Mamet's Pulitzer-winning play anatomises a sales office in freefall, where language is simultaneously weapon, disguise, and currency—a system that reveals how organisational pressure corrupts individual agency and degrad…
Remembering America: A Voice from the Sixties
Goodwin's memoir of his years as a Kennedy-Johnson speechwriter and policy architect is the backstory behind 'Quiz Show,' the film drawn partly from his investigation of the 1950s television fraud scandals. For product d…
The Man Who Knew Too Much
Brenner's 1999 Vanity Fair article (not a book) reconstructing Jeffrey Wigand's whistleblowing against Brown & Williamson is a case study in what happens when an institution's information architecture becomes a weapon ag…
Empathy and the Art of Living
Krznaric writes about empathy as a civic virtue rather than a psychological faculty — as a practice that changes how societies treat strangers, how institutions design services, and how workplaces organise. This early es…
Alone Together: Why We Expect More from Technology and Less from Each Other
This is Turkle's turn from optimism to alarm. Having spent earlier books celebrating the computer as an evocative object for exploring the self, she spends this one documenting, through years of fieldwork with sociable r…
The Zone of Interest
Amis sets his novel inside the Nazi extermination apparatus, narrating through perpetrators and bystanders who have so thoroughly normalised their work that atrocity becomes administrative routine—a condition he calls th…
Weapons of Math Destruction
O'Neil, a mathematician who moved from academia to Wall Street to data science, identifies a class of predictive models she calls Weapons of Math Destruction: opaque, unregulated, and operating at scale in domains where…
Technically Wrong: Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech
A catalogue of how the assumptions, demographics, and blind spots of design teams crystallise into products that harm the people they claim to serve — from name-validation forms that reject non-Western characters to algo…
Stubborn Attachments: A Vision for a Society of Free, Prosperous, and Responsible Individuals
Cowen's philosophical argument that sustained economic growth — broadly defined to include environmental quality, leisure, and human capabilities — is a moral imperative because it is the only reliable mechanism for impr…
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜
This is the paper that gave the era its metaphor. A large language model, the authors argue, is a "stochastic parrot": a system that recombines linguistic form from its training data according to probabilistic patterns,…
Who Gets Flagged? The Pluralistic Evaluation Gap in AI Content Watermarking
Watermarking is positioned as neutral infrastructure for AI content authentication, but Nemecek et al. reveal how its effectiveness varies systematically across cultural and demographic lines — what they term the 'plural…