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Articles 1 - 6 of 6
Full-Text Articles in Law
Artificial Financial Intelligence, William Magnuson
Artificial Financial Intelligence, William Magnuson
Faculty Scholarship
Recent advances in the field of artificial intelligence have revived long-standing debates about what happens when robots become smarter than humans. Will they destroy us? Will they put us all out of work? Will they lead to a world of techno-savvy haves and techno-ignorant have-nots? These debates have found particular resonance in finance, where computers already play a dominant role. High-frequency traders, quant hedge funds, and robo-advisors all represent, to a greater or lesser degree, real-world instantiations of the impact that artificial intelligence is having on the field. This Article will argue that the primary danger of artificial intelligence in …
A Third-Party Doctrine For Digital Metadata, H. Brian Holland
A Third-Party Doctrine For Digital Metadata, H. Brian Holland
Faculty Scholarship
For more than four decades, the third-party doctrine was understood as a bright-line, categorical rule: there is no legitimate privacy interest in any data that is voluntarily disclosed or conveyed to a third party. But this simple rule has dramatic effects in a world of ubiquitous networked computing, mobile technologies, and the commodification of information. The digital devices that facilitate our daily participation in modern society are connected through automated infrastructures that are designed to generate vast quantities of data, nearly all of which is captured, utilized, and stored by third-party service providers. Under a plain reading of the third-party …
Access To Algorithms, Hannah Bloch-Wehba
Access To Algorithms, Hannah Bloch-Wehba
Faculty Scholarship
Federal, state, and local governments increasingly depend on automated systems — often procured from the private sector — to make key decisions about civil rights and civil liberties. When individuals affected by these decisions seek access to information about the algorithmic methodologies that produced them, governments frequently assert that this information is proprietary and cannot be disclosed.
Recognizing that opaque algorithmic governance poses a threat to civil rights and liberties, scholars have called for a renewed focus on transparency and accountability for automated decision making. But scholars have neglected a critical avenue for promoting public accountability and transparency for automated …
Can Algorithms Promote Fair Use?, Peter K. Yu
Can Algorithms Promote Fair Use?, Peter K. Yu
Faculty Scholarship
In the past few years, advances in big data, machine learning and artificial intelligence have generated many questions in the intellectual property field. One question that has attracted growing attention concerns whether algorithms can be better deployed to promote fair use in copyright law. The debate on the feasibility of developing automated fair use systems is not new; it can be traced back to more than a decade ago. Nevertheless, recent technological advances have invited policymakers and commentators to revisit this earlier debate.
As part of the Symposium on "Intelligent Entertainment: Algorithmic Generation and Regulation of Creative Works," this Article …
Automation In Moderation, Hannah Bloch-Wehba
Automation In Moderation, Hannah Bloch-Wehba
Faculty Scholarship
This Article assesses recent efforts to encourage online platforms to use automated means to prevent the dissemination of unlawful online content before it is ever seen or distributed. As lawmakers in Europe and around the world closely scrutinize platforms’ “content moderation” practices, automation and artificial intelligence appear increasingly attractive options for ridding the Internet of many kinds of harmful online content, including defamation, copyright infringement, and terrorist speech. Proponents of these initiatives suggest that requiring platforms to screen user content using automation will promote healthier online discourse and will aid efforts to limit Big Tech’s power.
In fact, however, the …
Transparency After Carpenter, Hannah Bloch-Wehba
Transparency After Carpenter, Hannah Bloch-Wehba
Faculty Scholarship
This brief invited response to Professor Matthew Tokson’s Foulston-Siefkin lecture on the Supreme Court's decision in Carpenter v. United States makes two contributions. First, I highlight the social, political, and economic factors at play in the Carpenter decision. The Carpenter Court recognized, in particular, that digital surveillance implicates the rights of more than just criminal suspects: it poses unique and unappreciated threats to public governance of policing. The decision, I argue, reflects longstanding preoccupations in Fourth Amendment decisions with protecting the “public” — particularly innocent third parties — from intrusive and baseless investigations. In so doing, I situate Professor Tokson’s …