Kirsten Martin
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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.
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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
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
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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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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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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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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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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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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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
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
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.