Semantic Scholar Open Access 2019 518 sitasi

Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction

Ajay Agrawal J. Gans Avi Goldfarb

Abstrak

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 the automation of prediction leads to automating decisions versus enhancing decision-making by humans.

Topik & Kata Kunci

Penulis (3)

A

Ajay Agrawal

J

J. Gans

A

Avi Goldfarb

Format Sitasi

Agrawal, A., Gans, J., Goldfarb, A. (2019). Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction. https://doi.org/10.2139/ssrn.3341456

Akses Cepat

Lihat di Sumber doi.org/10.2139/ssrn.3341456
Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Total Sitasi
518×
Sumber Database
Semantic Scholar
DOI
10.2139/ssrn.3341456
Akses
Open Access ✓