Consumer Protection Law Commons^™

Exploring Financial Data Protection And Civil Liberties In An Evolved Digital Age, Amanda Lindner

Fordham Journal of Corporate & Financial Law

There is no comprehensive financial privacy law that can protect consumers from a company’s collection sharing and selling of consumer data. The most recent federal financial privacy law, the Gramm-Leach-Bliley Act (“GLBA”), was enacted by Congress over 20 years ago. Vast technological and financial changes have occurred since 1999, and financial privacy law is due for an upgrade.

As a result, loopholes exist where companies can share financial data without being subject to laws or regulations. Additionally, federal financial privacy related laws provide little to no recourse for consumers to self-remediate with litigation, also known as a private right of …

Comments Of The Cordell Institute On Ai Accountability, Neil M. Richards, Woodrow Hartzog, Jordan Francis

Scholarship@WashULaw

These comments are a response to the National Telecommunications and Information Administration's 2023 request for comment on AI accountability (AI Accountability RFC, NTIA–2023–0005).

Responding to NTIA’s recent inquiry into AI assurance and accountability, we offer two main arguments regarding the importance of substantive legal protections. First, a myopic focus on concepts of transparency, bias mitigation, and ethics (for which procedural compliance efforts such as audits, assessments, and certifications are proxies) is insufficient when it comes to the design and implementation of accountable AI systems. We call rules built around transparency and bias mitigation “AI half-measures,” because they provide the appearance …

Modern Privacy Advocacy: An Approach At War With Privacy Itself?, Justin "Gus" Hurwitz, Jamil N. Jaffer

Pepperdine Law Review

This Article argues that the modern concept of privacy itself, particularly as framed by some of its most ardent advocates today, is fundamentally incoherent. The Article highlights that many common arguments made in support of privacy, while initially seeming to protect this critical value, nonetheless undermine it in the long run. Using both recent and older examples of applying classic privacy advocacy positions to key technological innovations, the authors demonstrate how these positions, while seemingly privacy-enhancing at the time, actually resulted in outcomes that were less beneficial for consumers and citizens, including from a purely privacy-focused perspective. As a result, …

Individual Licensing Models And Consumer Protection, Lucie Guibault

Articles, Book Chapters, & Popular Press

Copyright law is not primarily directed at consumers. Their interests are therefore only marginally accounted for, as the copyright rules exempt specific uses of works from the right holder’s control. This chapter examines the impact of digital technology on the position of consumers of licensed copyrighted content. While ownership of the physical embodiment of a work does not entail the ownership of the rights in the work, how does copyright law deal with ‘disembodied’ works? Whereas digital content is now commonly distributed on the basis of individual licensing schemes, what does it mean for consumers? Do they have a claim …

Watching The Watchers, Neil M. Richards

Scholarship@WashULaw

In this essay from Wired Magazine (UK)'s special edition, The Wired World in 2014, Prof. Richards argues that sousveillance–watching the watchers–is an important development that will be on the rise in 2014.

Three Paradoxes Of Big Data, Neil M. Richards, Jonathan H. King

Scholarship@WashULaw

Big data is all the rage. Its proponents tout the use of sophisticated analytics to mine large data sets for insight as the solution to many of our society’s problems. These big data evangelists insist that data-driven decision making can now give us better predictions in areas ranging from college admissions to dating to hiring to medicine to national security and crime prevention. But much of the rhetoric of big data contains no meaningful analysis of its potential perils, only the promise. We don’t deny that big data holds substantial potential for the future, and that large dataset analysis has …