Managing unintended consequences of algorithmic decision-making: The case of Robodebt

Rinta-Kahila, Tapani; Someh, Ida; Gillespie, Nicole; Indulska, Marta; Gregor, Shirley

doi:10.1177/20438869231165538

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Managing unintended consequences of algorithmic decision-making: The case of Robodebt

2023
By Rinta-Kahila, Tapani ; Someh, Ida ; Gillespie, Nicole ; ...
Source: Journal of Information Technology Teaching Cases (2023)

[PDF-1.28 MB]

Details You May Also Like

Details:

Journal Title:

Journal of Information Technology Teaching Cases
Personal Author:

Rinta-Kahila, Tapani ; Someh, Ida ; Gillespie, Nicole ; Indulska, Marta ; Gregor, Shirley

Rinta-Kahila, Tapani ; Someh, Ida ; Gillespie, Nicole ; Indulska, Marta ; Gregor, Shirley Less -
NOAA Program & Office:

CIRES (Cooperative Institute for Research in Environmental Sciences)
Description:

In 2016, the Australian welfare agency Centrelink implemented an information system to automate the identification and recollection of welfare overpayments. Such algorithmic decision-making systems are increasingly leveraged to improve the efficiency of public administration. However, Centrelink’s scheme went horribly wrong: the system, branded as “Robodebt” by the popular media, generated debt notices that were inaccurate and based on insufficient evidence. Numerous vulnerable citizens who received the debt notices suffered a great deal of distress. While public controversy ensued, the ruling government continued to defend the flawed system until a court decision ruled it unlawful in 2019. This teaching case challenges one to analyze what went wrong in the implementation and management of the Robodebt system through the lens of sociotechnical systems.
Keywords:

[+]

Education Library And Information Sciences
Source:

Journal of Information Technology Teaching Cases (2023)
DOI:

https://doi.org/10.1177/20438869231165538
ISSN:

2043-8869;2043-8869;
Format:

PDF
Publisher:

SAGE Publications
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
Compliance:

Library
Main Document Checksum:

[+]

urn:sha256:787e0c6c341686869d401ccd04e8f2ed193541b606900d60ed26a24484e7749f
Download URL:

https://repository.library.noaa.gov/view/noaa/54487/noaa_54487_DS1.pdf
File Type:

No Additional Files

More +

Managing unintended consequences of algorithmic decision-making: The case of Robodebt

Details:

Supporting Files

You May Also Like