Law Commons^™

Potential Liability For Physicians Using Artificial Intelligence, W. Nicholson Price Ii, Sara Gerke, I Glenn Cohen

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Artificial intelligence (AI) is quickly making inroads into medical practice, especially in forms that rely on machine learning, with a mix of hope and hype. Multiple AI-based products have now been approved or cleared by the US Food and Drug Administration (FDA), and health systems and hospitals are increasingly deploying AI-based systems. For example, medical AI can support clinical decisions, such as recommending drugs or dosages or interpreting radiological images.2 One key difference from most traditional clinical decision support software is that some medical AI may communicate results or recommendations to the care team without being able to communicate the …

Medical Ai And Contextual Bias, W. Nicholson Price Ii

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Artificial intelligence will transform medicine. One particularly attractive possibility is the democratization of medical expertise. If black-box medical algorithms can be trained to match the performance of high-level human experts — to identify malignancies as well as trained radiologists, to diagnose diabetic retinopathy as well as board-certified ophthalmologists, or to recommend tumor-specific courses of treatment as well as top-ranked oncologists — then those algorithms could be deployed in medical settings where human experts are not available, and patients could benefit. But there is a problem with this vision. Privacy law, malpractice, insurance reimbursement, and FDA approval standards all encourage developers …

Artificial Intelligence In The Medical System: Four Roles For Potential Transformation, Will Nicholson Price Ii

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Artificial intelligence (AI) looks to transform the practice of medicine. As academics and policymakers alike turn to legal questions, a threshold issue involves what role AI will play in the larger medical system. This Article argues that AI can play at least four distinct roles in the medical system, each potentially transformative: pushing the frontiers of medical knowledge to increase the limits of medical performance, democratizing medical expertise by making specialist skills more available to non-specialists, automating drudgery within the medical system, and allocating scarce medical resources. Each role raises its own challenges, and an understanding of the four roles …

Grants, Nicholson Price Ii

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Innovation is a primary source of economic growth and is accordingly the target of substantial academic and government attention. Grants are a key tool in the government’s arsenal to promote innovation, but legal academic studies of that arsenal have given them short shrift. Although patents, prizes, and regulator-enforced exclusivity are each the subject of substantial literature, grants are typically addressed briefly, if at all. According to the conventional story, grants may be the only feasible tool to drive basic research, as opposed to applied research, but they are a blunt tool for that task. Three critiques of grants underlie this …

Artificial Intelligence In The Medical System: Four Roles For Potential Transformation, W. Nicholson Price Ii

Articles

Artificial intelligence (AI) looks to transform the practice of medicine. As academics and policymakers alike turn to legal questions, including how to ensure high-quality performance by medical AI, a threshold issue involves what role AI will play in the larger medical system. This Article argues that AI can play at least four distinct roles in the medical system, each potentially transformative: pushing the frontiers of medical knowledge to increase the limits of medical performance, democratizing medical expertise by making specialist skills more available to non-specialists, automating drudgery within the medical system, and allocating scarce medical resources. Each role raises its …

Blockchain-Based Token Sales, Initial Coin Offerings, And The Democratization Of Public Capital Markets, Jonathan Rohr, Aaron Wright

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Best known for their role in the creation of cryptocurrencies like bitcoin, blockchains are revolutionizing the way technology entrepreneurs finance their business enterprises. In 2017 alone, tech entrepreneurs raised over $6 billion through the sale of blockchain-based digital tokens, with some sales lasting mere seconds before selling out. In a token sale, also referred to as an “initial coin offering” or “ICO,” organizers of a project sell digital tokens to members of the public to finance the development of new technological platforms and services. After the initial sale, cryptocurrency exchanges scattered across the globe list tokens for trading and facilitate …

Uncovering Juror Racial Bias, Christian Sundquist

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The presence of bias in the courtroom has the potential to undermine public faith in the adversarial process, distort trial outcomes, and obfuscate the search for justice. In Pena-Rodriguez v. Colorado (2017), the U.S. Supreme Court held for the first time that the Sixth and Fourteenth Amendments required post-verdict judicial inquiry in criminal cases where racial bias clearly served as a “significant motivating factor” in juror decision-making. Courts will nonetheless likely struggle in interpreting what constitutes a "clear statement of racial bias" and whether such bias constituted a "significant motivating factor" in a juror's verdict. This Article will examine how …

When Ais Outperform Doctors: Confronting The Challenges Of A Tort-Induced Over-Reliance On Machine Learning, A. Michael Froomkin, Ian Kerr, Joelle Pineau

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Someday, perhaps soon, diagnostics generated by machine learning (ML) will have demonstrably better success rates than those generated by human doctors. What will the dominance of ML diagnostics mean for medical malpractice law, for the future of medical service provision, for the demand for certain kinds of doctors, and in the long run for the quality of medical diagnostics itself?

This Article argues that once ML diagnosticians, such as those based on neural networks, are shown to be superior, existing medical malpractice law will require superior ML-generated medical diagnostics as the standard of care in clinical settings. Further, unless implemented …

Everything Old Is New Again: Does The '.Sucks' Gtld Change The Regulatory Paradigm In North America?, Jacqueline D. Lipton

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In 2012, the Internet Corporation for Assigned Names and Numbers (“ICANN”) took the unprecedented step of opening up the generic Top Level Domain (“gTLD”) space for entities who wanted to run registries for any new alphanumeric string “to the right of the dot” in a domain name. After a number of years of vetting applications, the first round of new gTLDs was released in 2013, and those gTLDs began to come online shortly thereafter. One of the more contentious of these gTLDs was “.sucks” which came online in 2015. The original application for the “.sucks” registry was somewhat contentious with …

Administrative Truth: Comments On Cortez’S Information Mischief, David Thaw

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This short essay responds to Professor Nathan Cortez’s argument describing an emerging “information policy” reflecting on the practices of President Donald J. Trump’s executive administration (the “Trump Administration”) regarding the development, release, and management of official information. Professor Cortez argues that viewed holistically, this information policy suggests a shift toward the use of information practices by administrative agencies for purposes other than “neutral principles” and rather focusing on a “more cynical [use] of government information.”

This argument may be well-founded, and the Trump Administration certainly has been criticized widely for the relationship between its public statements and widespread media interpretation …

Commuting To Mars: A Response To Professors Abraham And Rabin, Ryan Calo

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The remarks that follow are less about the particular wisdom of manufacturer enterprise responsibility (MER) for driverless cars, and more about the limits of legal scholarship in grappling with unfolding technologic change. The contingency of technology and its social impacts caution against sweeping interventions. And the role of law and technology scholarship—as opposed to legal scholarship that touches upon technology—is arguably to recognize the unique challenges that arise at this intersection.

Regulating Bot Speech, Madeline Lamo, Ryan Calo

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We live in a world of artificial speakers with real impact. So-called “bots” foment political strife, skew online discourse, and manipulate the marketplace. Concerns over bot speech have led prominent figures in the world of technology to call for regulations in response to the unique threats bots pose. Recently, legislators have begun to heed these calls, drafting laws that would require online bots to clearly indicate that they are not human.

This work is the first to consider how efforts to regulate bots might run afoul of the First Amendment. At first blush, requiring a bot to self-disclose raises little …

Professionally Responsible Artificial Intelligence, Michael Hatfield

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As artificial intelligence (AI) developers produce more applications for professional use, how will we determine when the use is professionally responsible? One way to answer the question is to determine whether the AI augments the professional’s intelligence or whether it is used as a substitute for it. To augment the professional’s intelligence would be to make it greater, that is, to increase and improve the professional’s expertise. But a professional who substitutes artificial intelligence for his or her own puts both the professional role and the client at risk. The problem is developing guidance that encourages professionals to use AI …

Targeting Poverty In The Courts: Improving The Measurement Of Ability To Pay Fines, Meghan M. O'Neil, J.J. Prescott

Articles

Ability-to-pay determinations are essential when governments use money-based alternative sanctions, like fines, to enforce laws. One longstanding difficulty in the U.S. has been the extreme lack of guidance on how courts are to determine a litigant’s ability to pay. The result has been a seat-of-the-pants approach that is inefficient and inaccurate, and, as a consequence, very socially costly. Fortunately, online platform technology presents a promising avenue for reform. In particular, platform technology offers the potential to increase litigant access, reduce costs, and ensure consistent and fair treatment—all of which should lead to more accurate sanctions. We use interviews, surveys, and …