Publications
ND TEC faculty affiliates and postdoctoral fellows publish in a diverse range of both disciplines and outlets. This section of our site houses some of their most recent sole- and coauthored tech ethics scholarship as well as pieces by Notre Dame graduate students working with them.
The library is searchable, and we add to it regularly, so be sure to check back often for updates.
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Article
An Agent-Based Model for Poverty and Discrimination Policy-Making
By: Georgina Curto Rex, Nieves Montes, Nardine Osman, Carles Sierra
Appeared In: AMPM 2022: 2nd Workshop in Agent-based Modeling & Policy-Making
This article describes the architecture of an Agent-Based Model (AI) that will generate simulations showing the impact that potential changes in the law would have on poverty levels.
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Article
Moral distance, AI, and the ethics of care
By: Kirsten Martin, Carolina Villegas-Galaviz
Appeared In: AI & Society
Villegas-Galaviz and Martin investigate how the introduction of AI to decision-making increases what’s known as moral distance, a concept used to explain why individuals behave unethically towards those who are not seen.
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Commentary
Virtual Reality has arrived, but are humans ready for it?
By: Trenton Ford
Appeared In: Bulletin of the Atomic Scientists
Ford writes that nearly a century after author Stanley Weinbaum managed a conceptualization of virtual reality eerily similar to modern-day notions, we’re finally in a position where the questions Weinbaum raised aren’t futuristic science fiction.
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Article
The Evolving Impact of Robots on Jobs
By: John Chung, Yong Suk Lee
Appeared In: ILR Review
This paper examines a key concern related to technology adoption: whether or not new technologies replace workers and create adverse labor market consequences.
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Article
Predatory predictions and the ethics of predictive analytics
By: Kirsten Martin
Appeared In: Journal of the Association for Information Science and Technology
Martin examines ethical issues introduced by predictive analytics—which use data from the past to create a model that predicts future human behavior—arguing firms can have a market incentive to construct deceptively inflated true-positive outcomes.
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Article
On Contemporary Image-Making: Celebrity Holograms, Tricky Ghosts, and Other Technologies of Political Bodies
By: Ranjodh Singh Dhaliwal
Appeared In: transmediale
In this essay, Dhaliwal discusses the use of holograms for pop cultural resurrections and political fame along with the resulting impact on public perception, drawing on examples of holographic representations ranging from Narendra Modi to Tupac Shakur.
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Article
HoloFoldit and Hologrammatically Extended Cognition
By: Cody Turner
Appeared In: Philosophy & Technology
Turner considers how emerging mixed-reality devices—such as the Microsoft HoloLens, a headset that enables users to project 3D virtual objects onto their perceptual fields—are poised to impact the mind from a metaphysical perspective.
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Article
On Addressability, or What Even Is Computation?
By: Ranjodh Singh Dhaliwal
Appeared In: Critical Inquiry
Dhaliwal argues against the conflation of “digital” and “computational” and searches for a common logic among the three modes of computing, focusing on the individuating backbone that runs through histories of postal, civic, and technological addresses.
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Article
How does information about AI regulation affect managers’ choices?
By: Mariano-Florentino Cuéllar, Benjamin Cedric Larsen, Yong Suk Lee, Michael Webb
Appeared In: The Brookings Institution
This report provides a summary of and builds upon a study by the authors that appeared in The Journal of Law, Economics, and Organization in April 2022.
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Article
A Norm Optimisation Approach to SDGs: Tackling Poverty by Acting on Discrimination
By: Flavio Comim, Georgina Curto Rex, Nieves Montes, Nardine Osman, Carles Sierra
Appeared In: Proceedings of the 31st International Joint Conference on Artificial Intelligence
This paper describes how AI can provide new insights to mitigate poverty by using the technique of Agent Based Modeling.
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Article
Governing algorithmic decisions: The role of decision importance and governance on perceived legitimacy of algorithmic decisions
By: Kirsten Martin, Ari Waldman
Appeared In: Big Data & Society
Martin and Waldman explore the relative importance of the type of decision, the procedural governance, the input data used, and outcome errors on perceptions of the legitimacy of algorithmic public policy decisions as compared to similar human decisions.
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Article
What is the Bureaucratic Counterfactual? Categorical Versus Algorithmic Prioritization in U.S. Social Policy
By: Rebecca Johnson, Simone Zhang
Appeared In: ACM Conference on Fairness, Accountability, and Transparency
This paper outlines the benefits and drawbacks of using predictive models to allocate scarce social resources relative to social policy's dominant status quo approach, manual category-based prioritization.
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Article
Subreddit Links Drive Community Creation and User Engagement on Reddit
By: Rachel Krohn, Tim Weninger
Appeared In: Proceedings of the International AAAI Conference on Web and Social Media
Krohn and Weninger have undertaken a study on subreddit links on Reddit, with the goal of understanding their impact on both the referenced subreddit, and on the subreddit landscape as a whole.
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Commentary
Is your face gay? Conservative? Criminal? AI researchers are asking the wrong questions
By: Trenton Ford
Appeared In: Bulletin of the Atomic Scientists
Ford discusses how troublingly, some modern AI applications are delving into physiognomy, a set of pseudoscientific ideas that first appeared thousands of years ago and purport to link facial attributes to aspects of human character.
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Review
Review of “Algorithmic bias: on the implicit biases of social technology”
By: Kirsten Martin, Warren von Eschenbach
ND TEC’s Martin and von Eschenbach write that this article by Gabbrielle Johnson “makes a rigorous, compelling, and clear argument against the fabled ‘objectivity’ of computer science.”
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Book
Ethics of Data and Analytics: Concepts and Cases
By: Kirsten Martin
As the collection of our personal data has become pervasive, with the details gathered themselves a commodity, traditional norms of business ethics have often proven inadequate. This anthology aims to jumpstart the conversation on how to adapt.
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Commentary
Collaborative Climate Futures? Envisioning the Role of Open Data Infrastructures for Collaborative Socio-Environmental Research
By: Shannon Dosemagen, Luis Felipe Murillo
Appeared In: Commonplace
Arguing that effective data stewardship requires community and sovereignty, especially when the data is about the environment, Murillo and Dosemagen explore how we use can digital infrastructure with sustainability in mind.
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Article
Does Information About AI Regulation Change Manager Evaluation of Ethical Concerns and Intent to Adopt AI?
By: Mariano-Florentino Cuéllar, Benjamin Cedric Larsen, Yong Suk Lee, Michael Webb
Appeared In: The Journal of Law, Economics, and Organization
The authors examine the impacts of potential artificial intelligence regulations on managers’ perceptions on ethical issues related to AI and their intentions to adopt AI technologies.
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Article
Manipulation, Privacy, and Choice
By: Kirsten Martin
Appeared In: North Carolina Journal of Law & Technology
This article examines targeted manipulation as the covert leveraging of a specific target’s vulnerabilities to steer their decisions and positions online targeted manipulation as undermining the core economic assumptions of authentic choice in the market.
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Article
Analysis of Moral Judgment on Reddit
By: Nicholas Botzer, Shawn Gu, Tim Weninger
Appeared In: IEEE Transactions on Computational Social Systems
Moral outrage has become synonymous with social media in recent years. However, the preponderance of academic analysis on social media websites has focused on hate speech and misinformation. This article aims to help address that gap.
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Article
AI and Corporate Responsibility: How and Why Firms Are Responsible for AI
By: Kirsten Martin, Carolina Villegas-Galaviz
Appeared In: Encyclopedia of Business and Professional Ethics
This entry from the Encyclopedia of Business and Professional Ethics explains how we think about corporate responsibility around the design, development, and use of AI.
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Commentary
Crypto’s “Freedom to Transact” May Actually Threaten Human Rights
By: Elizabeth Renieris
Appeared In: CIGI Online
In this commentary, Renieris challenges the notion of “the freedom to transact” routinely associated with cryptocurrency, noting that this freedom is too often “touted or treated as absolute.”
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Article
AI Ethics, Regulation & Firm Implications
By: Benjamin Cedric Larsen, Yong Suk Lee
Appeared In: CPI TECHReg Chronicle
This article outlines distinct approaches to AI governance and regulation and discusses the implications for firms and their managers in terms of adopting AI and ethical practices going forward.
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Article
A Friendly Critique of Levinasian Machine Ethics
By: Patrick Gamez
Appeared In: The Southern Journal of Philosophy
This is an intervention in the field of machine ethics, broadly supporting but modifying recent “relational” approaches to robot rights, especially those based on the work of philosopher Emmanuel Levinas.
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Article
Are Algorithmic Decisions Legitimate? The Effect of Process and Outcomes on Perceptions of Legitimacy of AI Decisions
By: Kirsten Martin, Ari Waldman
Appeared In: Journal of Business Ethics
To date, the algorithmic accountability literature has elided a fundamentally empirical question important to business ethics and management: Under what circumstances, if any, are algorithmic decision-making systems considered legitimate?
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Book
Future Peace: Technology, Aggression, and the Rush to War
By: Robert Latiff
Future Peace urges extreme caution in the adoption of new weapons technology and is an impassioned plea for peace from an individual who spent decades preparing for war.
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Article
RFI Response: Biometric Technologies
By: Yong Suk Lee, Elizabeth Renieris
Renieris and Lee responded to a request for information (RFI) from the White House Office of Science and Technology Policy concerning the “Public and Private Sector Uses of Biometric Technologies.”
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Commentary
Amid the Hype over Web3, Informed Skepticism Is Critical
By: Elizabeth Renieris
Appeared In: CIGI Online
Writing in the Center for International Governance (CIGI) Online, Renieris points to “a kind of imaginative obsolescence” in the discourse around Web3.
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Article
Can Lethal Autonomous Weapons Be Just?
By: Noreen Herzfeld, Robert Latiff
Appeared In: Peace Review
This article attempts to put artificial intelligence and autonomy in weapons in the perspective of moral decision-making and points out the limitations of such technologies in that regard.
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Article
Algorithmic Bias and Corporate Responsibility: How companies hide behind the false veil of the technological imperative
By: Kirsten Martin
Appeared In: Ethics of Data and Analytics
In this book chapter, Martin argues that acknowledging the value-laden biases of algorithms as inscribed in design allows us to identify the associated responsibility of corporations that design, develop, and deploy algorithms.
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Commentary
It’s time to address facial recognition, the most troubling law enforcement AI tool
By: Trenton Ford
Appeared In: Bulletin of the Atomic Scientists
Amid the push for police reform, Ford writes that one trend is in urgent need of overhaul: police departments’ expanding use of artificial intelligence, namely facial recognition, to aid crime fighting.
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Commentary
AI and the Future of Labor
By: Yong Suk Lee
Appeared In: Dignity and Development
Writing for the Dignity and Development blog published by Notre Dame’s Keough School of Global Affairs, Lee discusses the challenges workers may face with the rapid adoption of AI in the near future.
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Article
Designing Ethical Technology Requires Systems for Anticipation and Resilience
By: Kirsten Martin, Bidhan (Bobby) Parmar
Appeared In: MIT Sloan Management Review
The increased speed and scale of emerging technologies can make ethical lapses more likely, more costly, and harder to recover from. To reduce ethical lapses, organizations need two kinds of systems: systems for anticipation and systems for resilience.
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Article
Transparency and the Black Box Problem: Why We Do Not Trust AI
By: Warren von Eschenbach
Appeared In: Philosophy & Technology
How can we trust an unsupervised intelligent system to analyze data or even make decisions on our behalf when its decision-making process remains opaque or unintelligible to us?
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Article
The Golden Thread for Humanity
By: Warren von Eschenbach
Appeared In: Culture e Fede Journal
What is the relationship between faith and science and how do they inform an ethical approach to using technology?
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Book
Science, Technology, and Virtues: Contemporary Perspectives
By: Emanuele Ratti, Thomas Stapleford
This co-edited volume illustrates how a range of scholars have found concepts of virtue valuable for thinking about contemporary science and technology, including technology ethics.
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Article
Whence and W(h)ither Technology Ethics
By: Don Howard
Appeared In: Oxford Handbook of the Philosophy of Technology
Howard surveys the history of technology ethics focusing on why the field developed with such a strong emphasis on risk and harmful social, cultural, and political impacts of new technologies.
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Article
Virtue Ethics and the Social Responsibilities of Researchers
By: Mark Bourgeois
Appeared In: Science, Technology, and Virtues: Contemporary Perspectives
Technology ethics often involves contested and ambiguous notions of responsibility. This book chapter describes a deep notion of social responsibility and a training program for it.
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Article
Automatic Discovery of Meme Genres with Diverse Appearances
By: Joel Brogan, Daniel Moreira, Pascal Phoa, Walter Scheirer, William Theisen, Pamela Bilo Thomas, Tim Weninger
Appeared In: Proceedings of the International AAAI Conference on Web and Social Media
This paper introduces a scalable automated visual recognition pipeline for discovering meme genres of diverse appearance, work relevant to the study of political disinformation campaigns.
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Article
Meme Warfare: AI countermeasures to disinformation should focus on popular, not perfect, fakes
By: Walter Scheirer, Tim Weninger, Michael Yankoski
Appeared In: Bulletin of the Atomic Scientists
From QAnon conspiracy theories to Russian government-sponsored election interference, social media disinformation campaigns are a part of online life, and identifying these threats is a challenge.
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Article
Pitfalls in Machine Learning Research: Reexamining the Development Cycle
By: Stella Biderman, Walter Scheirer
Appeared In: NeurIPS Conference
Machine learning research has the potential to fuel further advances in data science, but it is greatly hindered by an ad hoc design process, poor data hygiene, and a lack of statistical rigor.
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Article
The “Criminality From Face” Illusion
By: Kevin Bowyer, Michael King, Walter Scheirer, Kushal Vangara
Appeared In: IEEE Transactions on Technology and Society
A few recent publications have claimed success in analyzing an image of a person’s face in order to predict the person’s status as criminal/non-criminal. This is very dangerous.
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Article
A Pandemic of Bad Science
By: Walter Scheirer
Appeared In: Bulletin of the Atomic Scientists
That there has been an extraordinary level of interest in coronavirus science during the COVID-19 pandemic should come as no surprise, but this has unintended consequences.
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Article
What Is It About Location?
By: Kirsten Martin, Helen Nissenbaum
Appeared In: Berkeley Technology Law Journal
This article reports on a set of empirical studies that reveal how people think about location data, how these conceptions relate to expectations of privacy, and what this might mean for law, regulation, and technological design.
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Article
An AI Early Warning System to Monitor Online Disinformation, Stop Violence, and Protect Elections
By: Walter Scheirer, Tim Weninger, Michael Yankoski
Appeared In: Bulletin of the Atomic Scientists
The authors are developing an AI early warning system to monitor how manipulated content online—such as altered photos in memes—leads, in some cases, to violent conflict and societal instability.
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Article
Breaking the Privacy Paradox: The Value of Privacy and Associated Duty of Firms
By: Kirsten Martin
Appeared In: Business Ethics Quarterly
The privacy paradox is the perceived disconnect between individuals’ stated privacy expectations and consumer market behavior in going online. This paper empirically examines the conceptualization of privacy post-disclosure assumed in the privacy paradox.