By Robin K. Hill, Carlos Baquero
Communications of the ACM,
December 2021,
Vol. 64 No. 12, Pages 14-15
10.1145/3490151
Comments
https://bit.ly/3DfOrvN September 27, 2021
Some of us are skeptical that recommender systems can detect their own biases and overcome them. Some of us are skeptical that either generative grammars or phrase substitution systems will ever speak any natural language fluently. Both claims challenge techno-optimism by asking why computers can't do what we do. But those challenges are not the subject of argument here. The subject is the alternative space available to such skeptics.
No entries found
Log in to Read the Full Article
Need Access?
Please select one of the options below for access to premium content and features.
Create a Web Account
If you are already an ACM member, Communications subscriber, or Digital Library subscriber, please set up a web account to access premium content on this site.
Join the ACM
Become a member to take full advantage of ACM's outstanding computing information resources, networking opportunities, and other benefits.
Subscribe to Communications of the ACM Magazine
Get full access to 50+ years of CACM content and receive the print version of the magazine monthly.
Purchase the Article
Non-members can purchase this article or a copy of the magazine in which it appears.