The importance of effectiveness versus transparency and stakeholder involvement in citizens' perception of public sector algorithms

被引：10

作者：

Koenig, Pascal D. ^{[1
,3
]}

Felfeli, Julia ^{[2
]}

Achtziger, Anja ^{[2
]}

Wenzelburger, Georg ^{[3
]}

机构：

[1] Harvard Univ, Fac Arts & Social Sci, Cambridge, MA 02138 USA

[2] Saarland Univ, Dept Polit & Social Sci, Saarbrucken, Germany

[3] TU Kaiserslautern, Dept Social Sci, Kaiserslautern, Germany

来源：

PUBLIC MANAGEMENT REVIEW | 2024年 / 26卷 / 04期

关键词：

Algorithmic decision-making; public services; front-line decision-making; experiment; choice-based conjoint analysis; DISCRETE-CHOICE EXPERIMENTS; ARTIFICIAL-INTELLIGENCE; ACCOUNTABILITY; MANAGEMENT; GOVERNMENT; LEGITIMACY; DEMOCRACY; TRUST; WORLD;

D O I：

10.1080/14719037.2022.2144938

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

This paper sheds light on how much citizens value different features of public sector algorithms, specifically whether they prioritize effectiveness over transparency and stakeholder involvement in algorithm design or instead see effectiveness as less important. It does so with choice-based conjoint designs that present variants of algorithms used in policing and health care to respondents from representative German samples. Two studies with overall more than 3000 participants show that people are ready to trade away transparency and stakeholder involvement for small effectiveness gains. Citizens thus seem unlikely to demand accountable algorithms even in sensitive areas like policing and health care.

引用

页码：1061 / 1082

页数：22