Philosophy and Technology:1-26 (forthcoming)

Ying-Tung Lin
National Yang Ming Chiao Tung University
Tzu-wei Hung
Academia Sinica, Taiwan
Linus Huang
University of Hong Kong
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.
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DOI 10.1007/s13347-020-00406-7
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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.

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Citations of this work BETA

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

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