Communications of the ACM, volume 67, issue 5, pages 45-47

Test-Driven Ethics for Machine Learning

Nicholas Berente ¹

Cameron Kormylo ¹

Christoph Rosenkranz ²

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University of Notre Dame, Mendoza College of Business Notre Dame, IN, USA |

University of Cologne, Koln, Nordrhein-Westfalen, Germany |

Publication type: Journal Article

Publication date: 2024-05-01

Association for Computing Machinery (ACM)

Journal: Communications of the ACM

scimago Q1

SJR: 2.957

CiteScore: 16.1

Impact factor: 11.1

ISSN: 00010782, 15577317

DOI: 10.1145/3633455

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General Computer Science

Abstract

Encouraging organizations to adapt a test-driven ethical development approach.

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Patterns	Patterns, 1, 50% Patterns 1 publication, 50%
Business and Information Systems Engineering	Business and Information Systems Engineering, 1, 50% Business and Information Systems Engineering 1 publication, 50%
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Elsevier	Elsevier, 1, 50% Elsevier 1 publication, 50%
Springer Nature	Springer Nature, 1, 50% Springer Nature 1 publication, 50%
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Publisher

Association for Computing Machinery (ACM)

Journal

Communications of the ACM

scimago Q1

SJR

2.957

CiteScore

16.1

Impact factor

11.1

ISSN

00010782 (Print)

15577317 (Electronic)

Profiles

Berente, Nicholas

Test-Driven Ethics for Machine Learning

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