Regulating Code, review: A campaigning book
This is a serious and thoughtful look at how we might resolve the internet regulation dilemmas that have plagued us for 20 years. It's a campaigning book — but in a subtle and evidence-based way.
Latest from Wendy M Grossman
To Save Everything, Click Here: Book review
In his latest book, the author of The Net Delusion examines the thinking that led to the widespread view of the internet as a democratising force, which he calls 'solutionism' and 'internet centrism'.
A Copyright Masquerade review: Modern lobbying unmasked
The way in which corporations and other stakeholders seek to manipulate the formulation of intellectual property legislation around the world is an important story, and one that's well told in this engaging and informative book.
The Simpsons and Their Mathematical Secrets, review: Figures of fun
Science writer Simon Singh has written books on alternative medicine, the origin of the universe, cryptography and Fermat's Last Theorem. Here he takes a light-hearted look at the mathematical jokes hidden in the longest-running show in US television history.
How Music Got Free, book review: Piracy sparks a music-industry sea-change
Stephen Witt weaves music-industry economics, sound compression technology and the history of online file sharing into a satisfying multi-pronged tale.
The Political Spectrum, book review: How wireless deregulation gave us the iPhone
Thomas Winslow Hazlett offers an accessible history of wireless technology, describing how regulators often stifled innovative competition under pressure from incumbent interests, and how deregulation eventually gave us FM radio, HBO, wi-fi, and the iPhone.
Exponential, book review: Technology acceleration and its impact on society
An "exponential gap" is opening up between our understanding of our world, which updates slowly, and new technologies, which change faster than we can cope with, argues Azeem Azhar.
You Look Like a Thing and I Love You, book review: The weird side of AI
In this approachable and insightful book, Janelle Shane examines how AIs work and learn -- and how they can be fooled. The most important question: how do we know when to trust an AI?
The New Breed book review: Use animals, not humans, as the model for robots
Rather than imitate humans, robots should complement them, much as domesticated animals do, argues MIT's Kate Darling.
Nine Algorithms That Changed the Future: Book review
In this admirably readable book, a selection of commonly-used algorithms that solve specific problems and underpin computer science theory are explained in satisfying detail.