Data Access and AI Explainability
(Autor) Frank PasqualeAs managers digitize judgment using AI, their evaluations of persons risk imposing benefits and burdens in opaque and unaccountable ways. A wide range of harms may occur when access to one's personal data (and meaningful information about its use) is denied. Key data access rights and AI explainability guarantees in US. and EU law are designed to ameliorate the harms caused by irresponsible digitization, but their definition and range of application is contested. A robust policy evaluation framework will be needed to inform the proper level and scope of information access, as regulators clarify the contours of such rights and guarantees. By revealing the stakes of data access, this Element offers a useful evaluative framework for those interpreting and applying laws of data protection and AI explainability. This title is also available as Open Access on Cambridge Core.
Frank Pasquale
Frank Pasquale is a legal scholar and author known for his works on the intersection of technology, law, and ethics. He is a Professor of Law at the University of Maryland Carey School of Law and has written extensively on topics such as artificial intelligence, data privacy, and healthcare law. Pasquale is known for his critical approach to technology and its impact on society, advocating for greater regulation and oversight. His most notable work is "The Black Box Society: The Secret Algorithms That Control Money and Information," which explores the hidden power of algorithms in modern society. Pasquale's writing style is clear, concise, and accessible, making his work influential in shaping discussions around technology and ethics in the digital age.