Algorithmic agency in information systems: Research opportunities for data analytics of digital traces

Jonas Valbjorn Andersen, Aron Lindberg, Rikard Lindgren, Lisen Selander

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

The complex networks of today involve algorithms, humans, machines, and tools. As a consequence of their digital and sociotechnical nature, they increasingly exhibit autonomous and intelligent characteristics. This development puts prevailing assumptions about information systems at stake. In this paper, we specifically engage with a radical reframing of past conceptualizations of machine intelligence or agency. Based on our theorizing, we advance and substantiate a novel algorithmic agency perspective that centers around three key characteristics: algorithmic interpretation, data generativity, and input translation. These characteristics pave the way for a new wave of research in information systems. Our proposed research opportunities for data analytics of digital traces address conditions for, features of, and approaches to algorithmic agency.

Original languageEnglish
Title of host publicationProceedings of the 49th Annual Hawaii International Conference on System Sciences, HICSS 2016
EditorsRalph H. Sprague, Tung X. Bui
Pages4597-4605
Number of pages9
ISBN (Electronic)9780769556703
DOIs
StatePublished - 7 Mar 2016
Event49th Annual Hawaii International Conference on System Sciences, HICSS 2016 - Koloa, United States
Duration: 5 Jan 20168 Jan 2016

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2016-March
ISSN (Print)1530-1605

Conference

Conference49th Annual Hawaii International Conference on System Sciences, HICSS 2016
Country/TerritoryUnited States
CityKoloa
Period5/01/168/01/16

Keywords

  • Algorithmic agency
  • Digital innovation

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