Philosophy and Technology:1-26 (forthcoming)

Authors
Ying-Tung Lin
National Yang Ming Chiao Tung University
Tzu-wei Hung
Academia Sinica, Taiwan
Linus Huang
University of Hong Kong
Abstract
This paper focuses on the potential of “equitech”—AI technology that improves equity. Recently, interventions have been developed to reduce the harm of implicit bias, the automatic form of stereotype or prejudice that contributes to injustice. However, these interventions—some of which are assisted by AI-related technology—have significant limitations, including unintended negative consequences and general inefficacy. To overcome these limitations, we propose a two-dimensional framework to assess current AI-assisted interventions and explore promising new ones. We begin by using the case of human resource recruitment as a focal point to show that existing approaches have exploited only a subset of the available solution space. We then demonstrate how our framework facilitates the discovery of new approaches. The first dimension of this framework helps us systematically consider the analytic information, intervention implementation, and modes of human-machine interaction made available by advancements in AI-related technology. The second dimension enables the identification and incorporation of insights from recent research on implicit bias intervention. We argue that a design strategy that combines complementary interventions can further enhance the effectiveness of interventions by targeting the various interacting cognitive systems that underlie implicit bias. We end with a discussion of how our cognitive interventions framework can have positive downstream effects for structural problems.
Keywords No keywords specified (fix it)
Categories No categories specified
(categorize this paper)
DOI 10.1007/s13347-020-00406-7
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy


Upload a copy of this paper     Check publisher's policy     Papers currently archived: 62,481
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

The Ethics of Information.Luciano Floridi - 2013 - Oxford University Press UK.
Implicit Bias.Michael Brownstein - 2017 - Stanford Encyclopedia of Philosophy.

View all 28 references / Add more references

Citations of this work BETA

On the Person-Based Predictive Policing of AI.Tzu-Wei Hung & Chun-Ping Yen - forthcoming - Ethics and Information Technology.

Add more citations

Similar books and articles

The Heterogeneity of Implicit Bias.Jules Holroyd & Joseph Sweetman - forthcoming - In Michael Brownstein & Jennifer Saul (eds.), Implicit Bias and Philosophy. New York, USA: Oxford University Press.
Sin and Implicit Bias.Leigh C. Vicens - 2018 - Journal of Analytic Theology 6:100-111.
Responsibility for Implicit Bias.Jules Holroyd - 2012 - Journal of Social Philosophy 43 (3):274-306.
Epistemic Duty and Implicit Bias.Lindsay Rettler & Bradley Rettler - forthcoming - In Kevin McCain & Scott Stapleford (eds.), Epistemic Duties: New Arguments, New Angles. Routledge.
Cognition and the Structure of Bias.Gabbrielle Johnson - 2019 - Dissertation, University of California, Los Angeles

Analytics

Added to PP index
2020-07-04

Total views
36 ( #298,545 of 2,446,297 )

Recent downloads (6 months)
10 ( #67,073 of 2,446,297 )

How can I increase my downloads?

Downloads

My notes