Academic Papers
Empowering inclusion with insightful research.
Welcome to the Diversity Atlas Academic Papers repository!
We are delighted to offer you this collection of academic papers on diversity, equity, and inclusion, gathered from reputable sources across the internet. This resource is designed to provide our members with quick access to valuable research that can inform and enhance your DEI initiatives.
Please note that all papers included in this repository have been collected with respect for and in accordance with the rights of the original authors and publishers.
We hope you find this resource useful and enriching. Happy reading!
2019
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Tammy Cohen
How to leverage artificial intelligence to meet your diversity goals
Purpose – This paper aims to provide insights into how artificial intelligence can be used to eliminate bias in employee screening. Design/methodology/approach – Industry use cases and expert analytics were used in conducting this paper. Findings – Artificial intelligence if used correctly can help to build more diverse and inclusive teams and eliminate bias. Originality/value – This paper shows how
2018
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Chris Galloway, Lukasz Swiatek
Public relations and artificial intelligence: It’s not (just) about robots
Organizations of all kinds, as well as their in-house or agency public relations teams, increasingly co-opt Artificial Intelligence (AI) to enhance their capabilities. This paper examines a relatively new topic that has received little scholarly attention: the growing relationship between AI and public relations. It outlines several key roles that AI may play in future, based on trends in other
2018
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Nicol Turner Lee
Detecting racial bias in algorithms and machine learning
Purpose – The online economy has not resolved the issue of racial bias in its applications. While algorithms are procedures that facilitate automated decision-making, or a sequence of unambiguous instructions, bias is a byproduct of these computations, bringing harm to historically disadvantaged populations. This paper argues that algorithmic biases explicitly and implicitly harm racial groups and lead to forms of
2018
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Susan Leavy
Gender Bias in Artificial Intelligence: The Need for Diversity and Gender Theory in Machine Learning
Artificial intelligence is increasingly influencing the opinions and behavior of people in everyday life. However, the over-representation of men in the design of these technologies could quietly undo decades of advances in gender equality. Over centuries, humans developed critical theory to inform decisions and avoid basing them solely on personal experience. However, machine intelligence learns primarily from observing data that
2018
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Raub, McKenzie
Bots, Bias and Big Data: Artificial Intelligence, Algorithmic Bias And Disparate Impact Liability in Hiring Practices
“With artificial intelligence, we are summoning the demon. You know all those stories where there’s the guy with the pentagram and the holy water and he’s like, yeah, he’s sure he can control the demon? Doesn’t work out.” * 1 While this is perhaps dramatic, many Americans share Elon Musk’s underlying anxieties about artificial intelligence’s increasing proliferation into everyday life.2
2012
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Doris Ruth Eikhof
A double-edged sword: twenty-first century workplace trends and gender equality
Purpose – The purpose of this paper is to uncover the hidden gender consequences of three current trends in the workplace, the increase in knowledge work, information and communication technology (ICT) and work-life balance policies. Design/methodology/approach – The paper synthesizes and analyses existing empirical evidence from research on knowledge work, work-life balance and boundary, women’s work and careers. Findings –