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Artificial intelligence, transparency, and public decision-making Why explanations are key when trying to produce perceived legitimacy

de Fine Licht, Karl, 1979 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
De Fine Licht, Jenny, 1982 (författare)
Gothenburg University,Göteborgs universitet,Förvaltningshögskolan,School of Public Administration,University of Gothenburg
 (creator_code:org_t)
2020-03-19
2020
Engelska.
Ingår i: Ai & Society. - : Springer Science and Business Media LLC. - 0951-5666 .- 1435-5655. ; 35, s. 917-926
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • The increasing use of Artificial Intelligence (AI) for making decisions in public affairs has sparked a lively debate on the benefits and potential harms of self-learning technologies, ranging from the hopes of fully informed and objectively taken decisions to fear for the destruction of mankind. To prevent the negative outcomes and to achieve accountable systems, many have argued that we need to open up the "black box" of AI decision-making and make it more transparent. Whereas this debate has primarily focused on how transparency can secure high-quality, fair, and reliable decisions, far less attention has been devoted to the role of transparency when it comes to how the general public come to perceive AI decision-making as legitimate and worthy of acceptance. Since relying on coercion is not only normatively problematic but also costly and highly inefficient, perceived legitimacy is fundamental to the democratic system. This paper discusses how transparency in and about AI decision-making can affect the public's perception of the legitimacy of decisions and decision-makers and produce a framework for analyzing these questions. We argue that a limited form of transparency that focuses on providing justifications for decisions has the potential to provide sufficient ground for perceived legitimacy without producing the harms full transparency would bring.

Ämnesord

SAMHÄLLSVETENSKAP  -- Annan samhällsvetenskap (hsv//swe)
SOCIAL SCIENCES  -- Other Social Sciences (hsv//eng)
HUMANIORA  -- Filosofi, etik och religion -- Filosofi (hsv//swe)
HUMANITIES  -- Philosophy, Ethics and Religion -- Philosophy (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Människa-datorinteraktion (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Human Computer Interaction (hsv//eng)
SAMHÄLLSVETENSKAP  -- Medie- och kommunikationsvetenskap -- Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning (hsv//swe)
SOCIAL SCIENCES  -- Media and Communications -- Information Systems, Social aspects (hsv//eng)

Nyckelord

Artificial intelligence
Transparency
Public decision-making
Perceived
legitimacy
Explainability
Framework
quality
science
model
Computer Science
Artificial intelligence Transparency Public decision-making Perceived legitimacy Explainability Framework

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