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