Artificial Unintelligence: How Computers Misunderstand the World

Meredith Broussard, a data journalism professor at NYU, examines the limitations of artificial intelligence and computational solutions in modern society. Through concrete examples and research, she challenges the widespread belief that technology can solve all human problems. The book takes readers through fundamental concepts in computer science and AI, explaining technical elements in clear terms for a general audience. Broussard draws from her background in both journalism and computer science to investigate real-world applications and failures of technological systems. Broussard presents a critical analysis of "technochauvinism" - the belief that technological solutions are inherently superior to human ones. Her investigation spans multiple domains including education, journalism, transportation, and social services. The book serves as a pragmatic counterpoint to artificial intelligence hype, arguing for a more nuanced understanding of where computational solutions excel and where human judgment remains essential. Through this lens, it raises important questions about the role of technology in society's future.

Readers describe this as an accessible critique of technological solutionism and AI hype, written for non-technical audiences. Liked: - Clear explanations of technical concepts - Real-world examples of AI limitations - Investigation of algorithmic bias - Journalistic approach to complex topics - Balance between technical detail and readability Disliked: - Some found arguments oversimplified - Limited coverage of AI's potential benefits - Focus on problems rather than solutions - Writing style occasionally repetitive - Examples becoming dated Ratings: Goodreads: 3.9/5 (517 ratings) Amazon: 4.2/5 (63 ratings) Sample review quotes: "Demystifies AI without downplaying its importance" - Goodreads reviewer "Needed counterpoint to Silicon Valley techno-optimism" - Amazon reviewer "Could have explored solutions more deeply" - Goodreads reviewer "Good primer but lacks nuance in places" - Amazon reviewer The book resonates with readers seeking a critical perspective on AI development and implementation.

Weapons of Math Destruction by Cathy O'Neil Examines how algorithms and mathematical models perpetuate inequality and harm vulnerable populations through automated decision-making systems.

Race After Technology by Ruha Benjamin Investigates how technological systems encode and reproduce racial biases while presenting themselves as neutral tools.

You Look Like a Thing and I Love You by Janelle Shane Explains the limitations and failures of machine learning systems through real-world examples and technical breakdowns.

The Alignment Problem by Brian Christian Explores the challenges of creating AI systems that reliably behave according to human values and intentions.

Atlas of AI by Kate Crawford Maps the resources, labor, and data extraction processes behind AI systems to reveal their material and social costs.

🔹 The book introduced the concept of "technochauvinism" - the belief that technology is always the superior solution - which has become widely referenced in discussions about AI ethics and digital solutionism. 🔹 Author Meredith Broussard worked as a software developer before becoming a journalist and professor, giving her unique insights from both the technical and humanistic perspectives. 🔹 The book includes a hands-on experiment where Broussard built an AI system to predict which students would pass standardized tests, demonstrating both the capabilities and limitations of machine learning. 🔹 The author's research into autonomous vehicles revealed that they struggle with basic tasks like identifying potholes or adapting to weather conditions - challenges that human drivers handle intuitively. 🔹 The book's analysis of algorithmic bias in lending practices helped influence subsequent discussions about fairness in AI, contributing to policy changes in several financial institutions.