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!
2020
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Sundermeier, Janina; Birkner, Stephanie; Ettl, Kerstin; Kensbock, Julia; Tegtmeier, Silke
Hello Diversity! Opportunities and Challenges of Entrepreneurial Diversity in the Digital Age
This report outlines the key insights gained at the “Hello Diversity! Conference” held in June 2019 at the Freie Universität Berlin (Germany). The two-day event featured 14 talks from experts in academia and practice who shared their perspectives on how entrepreneurial diversity affects the exploration and exploitation of digital innovation potentials. Their insights highlighted the lack of holistic knowledge on
2021
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Mohammed T. Nuseir , Barween H. Al Kurdi , Muhammad T. Alshurideh , and Haitham M. Alzoubi
Gender Discrimination at Workplace: Do Artificial Intelligence (AI) and Machine Learning (ML) Have Opinions About It
The gender discrimination problem started from day one when they entered professional offices, factories, businesses, institutions, and other organizations. Despite strict regulations and laws, gender-based discrimination can be seen in almost all working places. However, its types and gravity may change with the place, sectors, or development level of a country. The complaints and protests of affected women roar severely
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
2022
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Cathy Roche· P. J. Wall · Dave Lewis
Ethics and diversity in artifcial intelligence policies, strategies and initiatives
A burgeoning of Artificial Intelligence (AI) technologies in recent years has led to increased discussion about its potential to address many issues considered otherwise intractable, including those highlighted by the United Nations 2030 Agenda for Sustainable Development and associated Sustainable Development Goals. In tandem with this growth in AI is an expanding body of documentation regarding how such advanced technologies
2020
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Amisha Bhargava & Marais Bester & Lucy Bolton
Employees’ Perceptions of the Implementation of Robotics, Artificial Intelligence, and Automation (RAIA) on Job Satisfaction, Job Security, and Employability
The study aimed at qualitatively exploring working adult’s perceptions of the implementation of robotics, artificial intelligence (AI), and automation (RAIA) on their job security, job satisfaction, and employability. By means of a cross-sectional and exploratory design, the researchers conducted 21 semi-structured interviews with a diverse sample. The heterogeneous sample came from numerous industries for instance consulting, accounting and finance, and
2022
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Eduard Fosch-Villaronga and Adam Poulsen
Diversity and Inclusion in Artificial Intelligence
Discrimination and bias are inherent problems of manyAI applications, as seen in, for instance, face recognition systems not recognizing dark-skinned women and content moderator tools silencing drag queens online. These outcomes may derive from limited datasets that do not fully represent society as a whole or from the AI scientific community’s western-male configuration bias. Although being a pressing issue, understanding
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
2019
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M. N. Murty, Anirban Biswas
Centrality and Diversity in Search: Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition
Centrality and Diversity are two important notions in Search in a generic manner. Their Roles in A.I., Machine Learning (ML), Social Networks, and Pattern Recognition are important. This book aims at clarifying these notions in terms of some of the foundational topics like search, representation, regression, ranking, clustering, optimization, and classification. Centrality and diversity have different roles in different tasks
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
2021
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Schenita Floyd
Assessing African American Women Engineers’ Workplace Sentiment within the AI Field
Artificial intelligence (AI) has infiltrated every industry and every aspect of our society. Business leaders have seen the shift AI has created and they are reacting swiftly to stay competitive. They are investing heavily in AI and hiring engineers and other technical professionals to capitalize on AI-based innovations. Engineers are problem solvers, innovators, and at the forefront of AI technologies;