Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 6 of 6
Full-Text Articles in Law
Too Much Of A Good Thing? A Governing Knowledge Commons Review Of Abundance In Context, Michael J. Madison, Brett M. Frischmann, Madelyn Sanfilippo, Katherine J. Strandburg
Too Much Of A Good Thing? A Governing Knowledge Commons Review Of Abundance In Context, Michael J. Madison, Brett M. Frischmann, Madelyn Sanfilippo, Katherine J. Strandburg
Articles
The economics of abundance, along with the sociology of abundance, the law of abundance, and so forth, should be re-framed, linked, and situated in a common context for empirical rather than conceptual research. Abundance may seem to be a new, big thing, between anxiety over information overload, Big Data, and related technological disruptions. But scholars know that abundance is an ancient phenomenon, which only seemed to disappear as twentieth century social science focused on scarcity instead. Restoring the study of abundance, and figuring out how to solve the problems that abundance might create, means shedding disciplinary blinders and going back …
Medical Ai And Contextual Bias, W. Nicholson Price Ii
Medical Ai And Contextual Bias, W. Nicholson Price Ii
Articles
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 …
Lawyer As Soothsayer: Exploring The Important Role Of Outcome Prediction In The Practice Of Law, Mark K. Osbeck
Lawyer As Soothsayer: Exploring The Important Role Of Outcome Prediction In The Practice Of Law, Mark K. Osbeck
Articles
Outcome prediction has always been an important part of practicing law. Clients rely heavily on their attorneys to provide accurate assessments of the potential legal consequences they face when making important decisions (such as whether to accept a plea bargain, or risk a conviction on a much more serious offense at trial). And yet, notwithstanding its enormous importance to the practice of law (and notwithstanding the handsome legal fees it commands), outcome prediction in the law remains a very imprecise endeavor. The reason for this inaccuracy is that the three principal tools lawyers have traditionally relied on to facilitate outcome …
Risk And Resilience In Health Data Infrastructure, W. Nicholson Price Ii
Risk And Resilience In Health Data Infrastructure, W. Nicholson Price Ii
Articles
Today’s health system runs on data. However, for a system that generates and requires so much data, the health care system is surprisingly bad at maintaining, connecting, and using those data. In the easy cases of coordinated care and stationary patients, the system works—sometimes. But when care is fragmented, fragmented data often result. Fragmented data create risks both to individual patients and to the system. For patients, fragmentation creates risks in care based on incomplete or incorrect information, and may also lead to privacy risks from a patched together system. For the system, data fragmentation hinders efforts to improve efficiency …
Artificial Intelligence In Health Care: Applications And Legal Implications, W. Nicholson Price Ii
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 …
Riley V. California And The Beginning Of The End For The Third-Party Search Doctrine, David A. Harris
Riley V. California And The Beginning Of The End For The Third-Party Search Doctrine, David A. Harris
Articles
In Riley v. California, the Supreme Court decided that when police officers seize a smart phone, they may not search through its contents -- the data found by looking into the call records, calendars, pictures and so forth in the phone -- without a warrant. In the course of the decision, the Court said that the rule applied not just to data that was physically stored on the device, but also to data stored "in the cloud" -- in remote sites -- but accessed through the device. This piece of the decision may, at last, allow a re-examination of …