Bureaucracy as a Lens for Analyzing and Designing Algorithmic Systems

Show simple item record

dc.contributor.author Pääkkönen, Juho
dc.contributor.author Nelimarkka, Matti
dc.contributor.author Haapoja, Jesse
dc.contributor.author Lampinen, Airi
dc.date.accessioned 2020-06-30T02:31:18Z
dc.date.available 2020-06-30T02:31:18Z
dc.date.issued 2020-04
dc.identifier.citation Pääkkönen , J , Nelimarkka , M , Haapoja , J & Lampinen , A 2020 , Bureaucracy as a Lens for Analyzing and Designing Algorithmic Systems . in Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems . ACM , New York . https://doi.org/10.1145/3313831.3376780
dc.identifier.other PURE: 131332533
dc.identifier.other PURE UUID: 7701866f-b17e-452e-bc14-b35893b31cbf
dc.identifier.other ORCID: /0000-0002-0378-845X/work/76725632
dc.identifier.other ORCID: /0000-0001-9867-692X/work/76727479
dc.identifier.uri http://hdl.handle.net/10138/317100
dc.description.abstract Scholarship on algorithms has drawn on the analogy between algorithmic systems and bureaucracies to diagnose shortcomings in algorithmic decision-making. We extend the analogy further by drawing on Michel Crozier’s theory of bureaucratic organizations to analyze the relationship between algorithmic and human decision-making power. We present algorithms as analogous to impartial bureaucratic rules for controlling action, and argue that discretionary decision-making power in algorithmic systems accumulates at locations where uncertainty about the operation of algorithms persists. This key point of our essay connects with Alkhatib and Bernstein’s theory of ’street-level algorithms’, and highlights that the role of human discretion in algorithmic systems is to accommodate uncertain situations which inflexible algorithms cannot handle. We conclude by discussing how the analysis and design of algorithmic systems could seek to identify and cultivate important sources of uncertainty, to enable the human discretionary work that enhances systemic resilience in the face of algorithmic errors. en
dc.format.extent 14
dc.language.iso eng
dc.publisher ACM
dc.relation.ispartof Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
dc.relation.isversionof 978-1-4503-6708-0
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject 113 Computer and information sciences
dc.subject 5171 Political Science
dc.title Bureaucracy as a Lens for Analyzing and Designing Algorithmic Systems en
dc.type Conference contribution
dc.contributor.organization Faculty of Social Sciences
dc.contributor.organization Centre for Social Data Science, CSDS
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1145/3313831.3376780
dc.rights.accesslevel openAccess
dc.type.version acceptedVersion

Files in this item

Total number of downloads: Loading...

Files Size Format View
chi20_bureaucracy.pdf 331.2Kb PDF View/Open

This item appears in the following Collection(s)

Show simple item record