Law Commons^™

Human Rights In The Era Of Artificial Intelligence “Figures, Opinions And Solutions”, Dr. Heidi Issa Hassan

مجلة جامعة الإمارات للبحوث القانونية UAEU LAW JOURNAL

Technology has cast its shadow on us in most aspects of our lives and nothing has escaped its grip even human intelligence. Human intelligence now has a major rival known as "artificial intelligence" (AI). The main question is can machines think like humans?!

Since AI involves, in part, the dispensation with humans, then it is a matter that affects human rights, regardless of the manifestations, consequences or even scope of this dispensation.

Accordingly, this study has several problems to tackle: 1) the absence of adequate binding national and international provisions governing AI, 2) AI systems involve changing the way businesses …

Moving From Harm Mitigation To Affirmative Discrimination Mitigation: The Untapped Potential Of Artificial Intelligence To Fight School Segregation And Other Forms Of Racial Discrimination, Andrew Gall

Catholic University Journal of Law and Technology

No abstract provided.

Human Rights In The Era Of Artificial Intelligence “Figures, Opinions And Solutions”, Dr. Heidi Issa Hassan

UAEU Law Journal

Technology has cast its shadow on us in most aspects of our lives and nothing has escaped its grip even human intelligence. Human intelligence now has a major rival known as "artificial intelligence" (AI). The main question is can machines think like humans?!

Since AI involves, in part, the dispensation with humans, then it is a matter that affects human rights, regardless of the manifestations, consequences or even scope of this dispensation.

Accordingly, this study has several problems to tackle: 1) the absence of adequate binding national and international provisions governing AI, 2) AI systems involve changing the way businesses …

Algorithmic Impact Assessments Under The Gdpr: Producing Multi-Layered Explanations, Margot E. Kaminski, Gianclaudio Malgieri

Publications

Policy-makers, scholars, and commentators are increasingly concerned with the risks of using profiling algorithms and automated decision-making. The EU’s General Data Protection Regulation (GDPR) has tried to address these concerns through an array of regulatory tools. As one of us has argued, the GDPR combines individual rights with systemic governance, towards algorithmic accountability. The individual tools are largely geared towards individual “legibility”: making the decision-making system understandable to an individual invoking her rights. The systemic governance tools, instead, focus on bringing expertise and oversight into the system as a whole, and rely on the tactics of “collaborative governance,” that is, …

The Law Of Ai, Margot Kaminski

Publications

No abstract provided.

The Right To Contest Ai, Margot E. Kaminski, Jennifer M. Urban

Publications

Artificial intelligence (AI) is increasingly used to make important decisions, from university admissions selections to loan determinations to the distribution of COVID-19 vaccines. These uses of AI raise a host of concerns about discrimination, accuracy, fairness, and accountability.

In the United States, recent proposals for regulating AI focus largely on ex ante and systemic governance. This Article argues instead—or really, in addition—for an individual right to contest AI decisions, modeled on due process but adapted for the digital age. The European Union, in fact, recognizes such a right, and a growing number of institutions around the world now call for …

Politics Of Adversarial Machine Learning, Kendra Albert, Jonathon Penney, Bruce Schneier, Ram Shankar Siva Kumar

Articles, Book Chapters, & Popular Press

In addition to their security properties, adversarial machine-learning attacks and defenses have political dimensions. They enable or foreclose certain options for both the subjects of the machine learning systems and for those who deploy them, creating risks for civil liberties and human rights. In this paper, we draw on insights from science and technology studies, anthropology, and human rights literature, to inform how defenses against adversarial attacks can be used to suppress dissent and limit attempts to investigate machine learning systems. To make this concrete, we use real-world examples of how attacks such as perturbation, model inversion, or membership inference …

Ethical Testing In The Real World: Evaluating Physical Testing Of Adversarial Machine Learning, Kendra Albert, Maggie Delano, Jonathon Penney, Afsaneh Ragot, Ram Shankar Siva Kumar

Articles, Book Chapters, & Popular Press

This paper critically assesses the adequacy and representativeness of physical domain testing for various adversarial machine learning (ML) attacks against computer vision systems involving human subjects. Many papers that deploy such attacks characterize themselves as “real world.” Despite this framing, however, we found the physical or real-world testing conducted was minimal, provided few details about testing subjects and was often conducted as an afterthought or demonstration. Adversarial ML research without representative trials or testing is an ethical, scientific, and health/safety issue that can cause real harms. We introduce the problem and our methodology, and then critique the physical domain testing …

Binary Governance: Lessons From The Gdpr’S Approach To Algorithmic Accountability, Margot E. Kaminski

Publications

Algorithms are now used to make significant decisions about individuals, from credit determinations to hiring and firing. But they are largely unregulated under U.S. law. A quickly growing literature has split on how to address algorithmic decision-making, with individual rights and accountability to nonexpert stakeholders and to the public at the crux of the debate. In this Article, I make the case for why both individual rights and public- and stakeholder-facing accountability are not just goods in and of themselves but crucial components of effective governance. Only individual rights can fully address dignitary and justificatory concerns behind calls for regulating …

Information And The Regulatory Landscape: A Growing Need To Reconsider Existing Legal Frameworks, Anjanette H. Raymond

Washington and Lee Journal of Civil Rights and Social Justice

No abstract provided.