Authors
Dario Amodei, Chris Olah, Jacob Steinhardt, Paul Christiano, John Schulman, Dan Mané
Publication date
2016/6/21
Journal
arXiv preprint arXiv:1606.06565
Description
Abstract: Rapid progress in machine learning and artificial intelligence (AI) has brought
increasing attention to the potential impacts of AI technologies on society. In this paper we
discuss one such potential impact: the problem of accidents in machine learning systems,
defined as unintended and harmful behavior that may emerge from poor design of real-
world AI systems. We present a list of five practical research problems related to accident
risk, categorized according to whether the problem originates from having the wrong ...
Total citations
20163
Scholar articles
D Amodei, C Olah, J Steinhardt, P Christiano… - arXiv preprint arXiv:1606.06565, 2016