Computer Law Commons^™

Artificial Intelligence In Health Care: Applications And Legal Implications, W. Nicholson Price Ii

Articles

Artificial intelligence (AI) is rapidly moving to change the healthcare system. Driven by the juxtaposition of big data and powerful machine learning techniques—terms I will explain momentarily—innovators have begun to develop tools to improve the process of clinical care, to advance medical research, and to improve efficiency. These tools rely on algorithms, programs created from healthcare data that can make predictions or recommendations. However, the algorithms themselves are often too complex for their reasoning to be understood or even stated explicitly. Such algorithms may be best described as “black-box.” This article briefly describes the concept of AI in medicine, including …

The Tax Treatment Of Tokens: What Does It Betoken?, David J. Shakow

All Faculty Scholarship

Digital tokens have been used to raise substantial amounts of money. But little attention has been paid to the tax consequences surrounding their issuance and sale. There are significant potential tax liabilities lurking in the use of digital tokens. But, because of the anonymity inherent in the blockchain structures used for the issuance of tokens and payments for them, there is a significant question as to whether those tax liabilities will ever be collected.

Data For The Algorithm As A Human Artifact: Implications For Legal [Re]Search, Susan Nevelow Mart

Research Data

These documents underlie and are cited in this empirical study: Susan Nevelow Mart, The Algorithm as a Human Artifact: Implications for Legal [Re]Search, 109 Law Libr. J. 387, 409 n.123 (2017), available at http://scholar.law.colorado.edu/articles/755/.

The ZIP file contains three files: one PDF document ("Tables for Charts 1-3"), and two SPSS files ("Data Archive" and "Syntax Archive" (SPSS version 24)). The "Syntax Archive" file may be viewed in a text editor (e.g., Notepad) as well as in SPSS.

Appendix B: The Algorithm As A Human Artifact: Implications For Legal [Re]Search, Susan Nevelow Mart

Research Data

This document, "Search Instructions for Algorithm Study," is an electronic Appendix B to, and is cited in, the empirical study: Susan Nevelow Mart, The Algorithm as a Human Artifact: Implications for Legal [Re]Search, 109 Law Libr. J. 387, 400 n.78 (2017), available at http://scholar.law.colorado.edu/articles/755/.

Regulating By Robot: Administrative Decision Making In The Machine-Learning Era, Cary Coglianese, David Lehr

All Faculty Scholarship

Machine-learning algorithms are transforming large segments of the economy, underlying everything from product marketing by online retailers to personalized search engines, and from advanced medical imaging to the software in self-driving cars. As machine learning’s use has expanded across all facets of society, anxiety has emerged about the intrusion of algorithmic machines into facets of life previously dependent on human judgment. Alarm bells sounding over the diffusion of artificial intelligence throughout the private sector only portend greater anxiety about digital robots replacing humans in the governmental sphere. A few administrative agencies have already begun to adopt this technology, while others …

Interpretation Catalysts In Cyberspace, Rebecca Ingber

Faculty Scholarship

The cybersphere offers a rich space from which to explore the development of international law in a compressed time frame. This piece examines the soft law process over the last decade of the two Tallinn Manuals – handbooks on the international law of cyber warfare and cyber operations – as a valuable lens through which to witness the effects of “interpretation catalysts” on the evolution of international law. In prior work, I identified the concept of interpretation catalysts – discrete triggers for legal interpretation – and their influence on the path that legal evolution takes, including by compelling a decision-making …

Blockchain, Bitcoin, And Vat In The Gcc: The Missing Trader Example, Richard Thompson Ainsworth, Musaad Alwohaibi

Faculty Scholarship

Blockchain is coming to tax administration and will cause fundamental change. This article considers the potential for blockchain technology as it applies to the introduction of a value added tax in the Gulf Cooperation Council.

Blockchain technology disrupts centralized ledgers. Blockchain improves efficiency, security and transparency. Perhaps no centralized ledger system presents more challenges than that of the modern tax administration. The central data storage system of a modern tax authority contains all return, payment, and audit activity for all taxpayers arranged tax-by-tax for three years or longer periods of time.

It is likely that blockchain will come first to …

Biometric Cyberintelligence And The Posse Comitatus Act, Margaret Hu

Scholarly Articles

This Article addresses the rapid growth of what the military and the intelligence community refer to as “biometric-enabled intelligence.” This newly emerging intelligence tool is reliant upon biometric databases—for example, digitalized storage of scanned fingerprints and irises, digital photographs for facial recognition technology, and DNA. This Article introduces the term “biometric cyberintelligence” to more accurately describe the manner in which this new tool is dependent upon cybersurveillance and big data’s massintegrative systems.

This Article argues that the Posse Comitatus Act of 1878, designed to limit the deployment of federal military resources in the service of domestic policies, will be difficult …

From The National Surveillance State To The Cybersurveillance State, Margaret Hu

Scholarly Articles

This article anchors the phenomenon of bureaucratized cybersurveillance around the concept of the National Surveillance State, a theory attributed to Professor Jack Balkin of Yale Law School and Professor Sanford Levinson of the University of Texas School of Law. Pursuant to the theory of the National Surveillance State, because of the routinized and administrative nature of government-led surveillance, normalized mass surveillance is viewed as justified under crime and counterterrorism policy rationales. This article contends that the Cybersurveillance State is the successor to the National Surveillance State. The Cybersurveillance State harnesses technologies that fuse biometric and biographic data for risk assessment, …

Siri-Ously 2.0: What Artificial Intelligence Reveals About The First Amendment, Toni M. Massaro, Helen Norton, Margot E. Kaminski

Publications

The First Amendment may protect speech by strong Artificial Intelligence (AI). In this Article, we support this provocative claim by expanding on earlier work, addressing significant concerns and challenges, and suggesting potential paths forward.

This is not a claim about the state of technology. Whether strong AI — as-yet-hypothetical machines that can actually think — will ever come to exist remains far from clear. It is instead a claim that discussing AI speech sheds light on key features of prevailing First Amendment doctrine and theory, including the surprising lack of humanness at its core.

Courts and commentators wrestling with free …

Every Algorithm Has A Pov, Susan Nevelow Mart

Publications

When legal researchers search in online databases for the information they need to solve a legal problem, they need to remember that the algorithms that are returning results to them were designed by humans. The world of legal research is a human-constructed world, and the biases and assumptions the teams of humans that construct the online world bring to the task are imported into the systems we use for research. This article takes a look at what happens when six different teams of humans set out to solve the same problem: how to return results relevant to a searcher’s query …

The Algorithm As A Human Artifact: Implications For Legal [Re]Search, Susan Nevelow Mart

Publications

The results of using the search algorithms in Westlaw, Lexis Advance, Fastcase, Google Scholar, Ravel, and Casetext are compared. Six groups of humans created six different algorithms, and the results are a testament to the variability of human problem solving. That variability has implications both for researching and teaching research.

Fetishizing Copies, Jessica Litman

Book Chapters

Our copyright laws encourage authors to create new works and communicate them to the public, because we hope that people will read the books, listen to the music, see the art, watch the films, run the software, and build and inhabit the buildings. That is the way that copyright promotes the Progress of Science. Recently, that not-very-controversial principle has collided with copyright owners’ conviction that they should be able to control, or at least collect royalties from, all uses of their works. A particularly ill-considered manifestation of this conviction is what I have decided to call copy-fetish. This is the …

Research Algorithms Have A Point Of View: The Effect Of Human Decision Making On Your Search Results, Susan Nevelow Mart

Publications

No abstract provided.