The book argues that governing technology means looking at its political economy. It summarises the ideas that should inform policy approaches to new technologies, including self-driving cars
Table of contents (5 chapters)
Who Killed Elaine Herzberg?
Innovation Is Not Self-Driving
The Politics of Tech
In Dreams Begins Responsibility
The Collaborative State
About the book
"A much needed, sobering look at the seductive promises of new technologies. You couldn’t ask for a better guide than Jack Stilgoe. His book is measured, fair and incisive” Hannah Fry, University College London, UK, and author of Hello World: How to be Human in the Age of the Machine
“A cracking and insightful little book that thoughtfully examines the most important political and social question we face: how to define and meaningfully control the technologies that are starting to run our lives” Jamie Bartlett, author of The People vs Tech: How the Internet is Killing Democracy (and How We Save It)
"Innovation has not only a rate but also a direction. Stilgoe’s excellent new book tackles the directionality of AI with a strong call to action. The book critiques the idea that technology is a pre-determined force, and puts forward a concrete proposal on how to make sure we are making decisions along the way that ask who is benefitting and how can we open the possibilities of innovation while steering them to deliver social benefit" Mariana Mazzucato, University College London, UK, and author of The Value of Everything: Making and Taking in the Global Economy
“Looking closely at the prospects and problems for ‘autonomous vehicles,’ Jack Stilgoe uncovers layer after layer of an even more fascinating story - the bizarre disconnect between technological means and basic human ends in our time. A tour de force of history and theory, the book is rich in substance, unsettling in its questions and great fun to read” Langdon Winner, Rensselaer Polytechnic Institute, USA
Too often, we understand the effects of technological change only in hindsight. When technologies are new, it is not clear where they are taking us or who's driving. Innovators tend to accentuate the benefits rather than risks or other injustices. Technologies like self-driving cars are not as inevitable as the hype would suggest. If we want to realise the opportunities, spread the benefits to people who normally lose out and manage the risks, Silicon Valley’s disruptive innovation is a bad model. Steering innovation in the public interest means finding new ways for public and private sector organisations to collaborate.
case studiesemerging science and technologysocial impact assessmenttechnology evaluationtechnology governanceintegrated frameworknanotechnology in food productionsynthetic biologybiofuelssecurity in emerging icts