Surviving the Machine Age: Intelligent Technology and the Transformation of Human Work

ISBN-13: 9783319511641 / Angielski / Twarda / 2017 / 166 str.

James J. Hughes; Kevin Lagrandeur

Opis

This book examines the current state of the technologically-caused unemployed, and attempts to answer the question of how to proceed into an era beyond technological unemployment.

Spis treści

1. Introduction: An Overview of Emerging Technology and Employment in the Early Twenty-First Century

2. Is Technological Unemployment Real? An Assessment and a Plea for Abundance Economics

3.  Creative Destruction: Emerging Technology and the Changing Course of Job Creation

4. Employment In The Age of Em: Simulated Brains and the Economics of Labor

5. Building a Postwork Utopia: Technological Unemployment, Life Extension and the Future of Human Flourishing

6. Can We Build a Resilient Employment Market for an Uncertain Future?

7. Unconditional Basic Income as a Solution to Technological Unemployment

8. Policy Solutions to Technological Unemployment

9. What is the Job Creation Potential of New Technologies?

10. Rage Against the Machine: Rethinking Education in the Face of Technological Unemployment

O autorze

Kevin LaGrandeur is Professor at the New York Institute of Technology (NYIT), USA and a Fellow of the Institute for Ethics and Emerging Technology. He is an expert in technology and culture and also has a degree in economics.  His book Artificial Slaves won the 2014 Science Fiction and Technoculture Studies Prize.  

James J. Hughes is Executive Director of the Institute for Ethics and Emerging Technologies (IEET) and a sociologist. He authored Citizen Cyborg: Why Democratic Societies Must Respond to the Redesigned Human of the Future. He is also the editor of the 2014 special issue of the Journal of Evolution and Technology on technological unemployment.

Blurb

This book examines the current state of the technologically-caused unemployed, and attempts to answer the question of how to proceed into an era beyond technological unemployment. Beginning with an overview of the most salient issues, the experts collected in this work present their own novel visions of the future and offer suggestions for adapting to a more symbiotic economic relationship with AI. These suggestions include different modes of dealing with education, aging workers, government policies, and the machines themselves. Ultimately, they lay out a whole new approach to economics, one in which we learn to merge with and adapt to our increasingly intelligent creations.