Algorithmic Authority: the Ethics, Politics, and Economics of Algorithms that Interpret, Decide, and Manage
Zotero / D&S Group / Top-Level Items 2020-05-31
Type
Conference Paper
Author
Caitlin Lustig
Author
Katie Pine
Author
Bonnie Nardi
Author
Lilly Irani
Author
Min Kyung Lee
Author
Dawn Nafus
Author
Christian Sandvig
URL
https://doi.org/10.1145/2851581.2886426
Series
CHI EA '16
Place
San Jose, California, USA
Publisher
Association for Computing Machinery
Pages
1057–1062
ISBN
978-1-4503-4082-3
Date
May 7, 2016
DOI
10.1145/2851581.2886426
Accessed
2020-05-30
Library Catalog
ACM Digital Library
Abstract
This panel will explore algorithmic authority as it manifests and plays out across multiple domains. Algorithmic authority refers to the power of algorithms to manage human action and influence what information is accessible to users. Algorithms increasingly have the ability to affect everyday life, work practices, and economic systems through automated decision-making and interpretation of "big data". Cases of algorithmic authority include algorithmically curating news and social media feeds, evaluating job performance, matching dates, and hiring and firing employees. This panel will bring together researchers of quantified self, healthcare, digital labor, social media, and the sharing economy to deepen the emerging discourses on the ethics, politics, and economics of algorithmic authority in multiple domains.
Proceedings Title
Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems
Short Title
Algorithmic Authority