1 option
Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction / Ajay Agrawal, Joshua S. Gans, Avi Goldfarb.
- Format:
- Book
- Author/Creator:
- Agrawal, Ajay.
- Series:
- Working Paper Series (National Bureau of Economic Research) no. w25619.
- NBER working paper series no. w25619
- Language:
- English
- Physical Description:
- 1 online resource: illustrations (black and white);
- Place of Publication:
- Cambridge, Mass. National Bureau of Economic Research 2019.
- Summary:
- Recent advances in artificial intelligence are primarily driven by machine learning, a prediction technology. Prediction is useful because it is an input into decision-making. In order to appreciate the impact of artificial intelligence on jobs, it is important to understand the relative roles of prediction and decision tasks. We describe and provide examples of how artificial intelligence will affect labor, emphasizing differences between when automating prediction leads to automating decisions versus enhancing decision-making by humans.
- Notes:
- Print version record
- February 2019.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.