ND TEC faculty affiliates publish in a diverse range of both disciplines and outlets. This section of our site houses some of their most recent sole- and coauthored work in tech ethics. The library is searchable, and we add to it regularly, so be sure to check back often for updates.

  • 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.”

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.”

  • 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.

  • 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?

  • 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.

  • 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.”

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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?

  • 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?

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.