271. Generative AI and the Future of Work: A Reappraisal
- Author:
- Carl Benedikt Frey and Michael Osborne
- Publication Date:
- 09-2023
- Content Type:
- Journal Article
- Journal:
- Brown Journal of World Affairs
- Institution:
- Brown Journal of World Affairs
- Abstract:
- Like now, the early 2010s was a time of excitement about new technological wonders. The world had bounced back from the worst financial crisis since the Great Depression and, despite residual financial malaise, America seemed to be on the cusp of a productivity boom.1 Artificial intelligence (AI), long regarded as an academic backwater, was finally bearing fruit. In 2011, a question-answering computer system known as IBM Watson beat the world champion in Jeopardy. Machine learning—a subfield of AI—further expanded the possibilities of what computers could do; in 2012, a machine learning team from Google trained a deep neural network that, without ever being told what a cat was, proved independently capable of recognizing cat videos on YouTube. Gone were the days when a computer programmer needed to write explicit rules to guide the actions of a machine in every contingency. Computers could now infer rules by tapping into the data trails left behind by increasing numbers of humans online. This phenomenon was most clearly visible with the development of autonomous vehicles. No programmer could be expected to foresee every situation a human driver might encounter in city traffic, and even less to capture these in a sequence of “If-Then-Do” commands. Instead, autonomous vehicles made progress by collecting vast amounts of data on drivers’ actions in city traffic to predict what humans would in any given situation.
- Topic:
- Science and Technology, Artificial Intelligence, Future of Work, and Generative Models
- Political Geography:
- Global Focus