Lost in translation: the troubling logics underpinning the embrace of governmental machine-learning based prediction tools for ‘citizen scoring’

Karen Yeung

Lost in translation: the troubling logics underpinning the embrace of governmental machine-learning based prediction tools for ‘citizen scoring’

Birmingham Law School

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Original language	English
Title of host publication	Global Governance by Data
Subtitle of host publication	Infrastructures of Algorithmic Rule
Editors	Dimitri Van Den Meerssche, Gavin Sullivan, Fleur Johns
Publisher	Cambridge University Press
Publication status	Accepted/In press - 2023

Bibliographical note

Not yet published as of 01/03/2024: publication anticipated in 2024.

Keywords

Machine Learning
Data analytics
algorithm

Deciding about, by, and together with algorithmic decision making systems
Yeung, K.
VOLKSWAGEN STIFTUNG
1/06/19 → 31/12/23
Project: EU

Cite this

@inbook{3908050914a841b28d16298408a33212,

title = "Lost in translation: the troubling logics underpinning the embrace of governmental machine-learning based prediction tools for {\textquoteleft}citizen scoring{\textquoteright} ",

keywords = "Machine Learning, Data analytics, algorithm",

author = "Karen Yeung",

note = "Not yet published as of 01/03/2024: publication anticipated in 2024.",

year = "2023",

language = "English",

editor = "{Van Den Meerssche}, {Dimitri } and Sullivan, {Gavin } and Fleur Johns",

booktitle = "Global Governance by Data",

publisher = "Cambridge University Press",

}

Lost in translation: the troubling logics underpinning the embrace of governmental machine-learning based prediction tools for ‘citizen scoring’ . / Yeung, Karen.
Global Governance by Data : Infrastructures of Algorithmic Rule. ed. / Dimitri Van Den Meerssche; Gavin Sullivan; Fleur Johns. Cambridge University Press, 2023.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Lost in translation

T2 - the troubling logics underpinning the embrace of governmental machine-learning based prediction tools for ‘citizen scoring’

AU - Yeung, Karen

N1 - Not yet published as of 01/03/2024: publication anticipated in 2024.

PY - 2023

Y1 - 2023

KW - Machine Learning

KW - Data analytics

KW - algorithm

UR - https://www.cambridge.org/core/publications/books

M3 - Chapter

BT - Global Governance by Data

A2 - Van Den Meerssche, Dimitri

A2 - Sullivan, Gavin

A2 - Johns, Fleur

PB - Cambridge University Press

ER -

Lost in translation: the troubling logics underpinning the embrace of governmental machine-learning based prediction tools for ‘citizen scoring’

Bibliographical note

Keywords

Projects

Deciding about, by, and together with algorithmic decision making systems

Cite this