Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/59651

Better, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learning

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Title:Better, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learning
Authors:Greene, Daniel
Hoffmann, Anna Lauren
Stark, Luke
Keywords:Critical and Ethical Studies of Digital and Social Media
Digital and Social Media
ethics, machine learning, artificial intelligence, design, values
Date Issued:08 Jan 2019
Abstract:This paper uses frame analysis to examine recent high-profile values statements endorsing ethical design for artificial intelligence and machine learning (AI/ML). Guided by insights from values in design and the sociology of business ethics, we uncover the grounding assumptions and terms of debate that make some conversations about ethical design possible while forestalling alternative visions. Vision statements for ethical AI/ML co-opt the language of some critics, folding them into a limited, technologically deterministic, expert-driven view of what ethical AI/ML means and how it might work.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/59651
ISBN:978-0-9981331-2-6
DOI:10.24251/HICSS.2019.258
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Critical and Ethical Studies of Digital and Social Media


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