Computer Law Commons^™

The Role Of Ethical Principles In Ai Startups, James Bessen, Stephen Michael Impink, Robert Seamans

Faculty Scholarship

Do high-tech startups benefit from developing more ethical AI? AI startups implement policies and take actions to manage ethical issues associated with data collection, storage, and usage and adapt to the norms of their industry. This paper describes these startups' ethics-related actions, including ethical AI policy adoption, and examines how these actions relate to startup performance. We find that merely adopting an ethical AI policy (i.e., a less costly signal) does not relate to increased performance. However, there is evidence that investors reward startups that take more costly preventative pro-ethics actions, like seeking expert guidance, training employees about unconscious bias, …

Using Artificial Intelligence In The Law Review Submissions Process, Brenda M. Simon

Faculty Scholarship

The use of artificial intelligence to help editors examine law review submissions may provide a way to improve an overburdened system. This Article is the first to explore the promise and pitfalls of using artificial intelligence in the law review submissions process. Technology-assisted review of submissions offers many possible benefits. It can simplify preemption checks, prevent plagiarism, detect failure to comply with formatting requirements, and identify missing citations. These efficiencies may allow editors to address serious flaws in the current selection process, including the use of heuristics that may result in discriminatory outcomes and dependence on lower-ranked journals to conduct …

Data Vu: Why Breaches Involve The Same Stories Again And Again, Woodrow Hartzog, Daniel Solove

Shorter Faculty Works

In the classic comedy Groundhog Day, protagonist Phil, played by Bill Murray, asks “What would you do if you were stuck in one place and every day was exactly the same, and nothing that you did mattered?” In this movie, Phil is stuck reliving the same day over and over, where the events repeat in a continual loop, and nothing he does can stop them. Phil’s predicament sounds a lot like our cruel cycle with data breaches.

Every year, organizations suffer more data spills and attacks, with personal information being exposed and abused at alarming rates. While Phil …

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 …

The New Bailments, Danielle D'Onfro

Scholarship@WashULaw

The rise of cloud computing has dramatically changed how consumers and firms store their belongings. Property that owners once managed directly now exists primarily on infrastructure maintained by intermediaries. Consumers entrust their photos to Apple instead of scrapbooks; businesses put their documents on Amazon’s servers instead of in file cabinets; seemingly everything runs in the cloud. Were these belongings tangible, the relationship between owner and intermediary would be governed by the common-law doctrine of bailment. Bailments are mandatory relationships formed when one party entrusts their property to another. Within this relationship, the bailees owe the bailors a duty of care …

Legislating Data Loyalty, Woodrow Hartzog, Neil Richards

Faculty Scholarship

Lawmakers looking to embolden privacy law have begun to consider imposing duties of loyalty on organizations trusted with people’s data and online experiences. The idea behind loyalty is simple: organizations should not process data or design technologies that conflict with the best interests of trusting parties. But the logistics and implementation of data loyalty need to be developed if the concept is going to be capable of moving privacy law beyond its “notice and consent” roots to confront people’s vulnerabilities in their relationship with powerful data collectors.

In this short Essay, we propose a model for legislating data loyalty. Our …

Linn Foster Freedman Room Dedication At Rwu School Of Law 11-01-2019, Roger Williams University School Of Law, Michael M. Bowden

School of Law Conferences, Lectures & Events

No abstract provided.

Data-Informed Duties In Ai Development, Frank A. Pasquale

Faculty Scholarship

Law should help direct—and not merely constrain—the development of artificial intelligence (AI). One path to influence is the development of standards of care both supplemented and informed by rigorous regulatory guidance. Such standards are particularly important given the potential for inaccurate and inappropriate data to contaminate machine learning. Firms relying on faulty data can be required to compensate those harmed by that data use—and should be subject to punitive damages when such use is repeated or willful. Regulatory standards for data collection, analysis, use, and stewardship can inform and complement generalist judges. Such regulation will not only provide guidance to …

The Role Of Satellites And Smart Devices: Data Surprises And Security, Privacy, And Regulatory Challenges, Anne T. Mckenna, Amy C. Gaudion, Jenni L. Evans

Faculty Scholarly Works

Strava, a popular social media platform and mobile app like Facebook but specifically designed for athletes, posts a “heatmap” with consensually-obtained details about users’ workouts and geolocation. Strava’s heatmap depicts aggregated data of user location and movement by synthesizing GPS satellite data points and movement data from users’ smart devices together with satellite imagery. In January of 2018, a 20-year-old student tweeted that Strava’s heatmap revealed U.S. forward operating bases. The tweet revealed a significant national security issue and flagged substantial privacy and civil liberty concerns.

Smart devices, software applications, and social media platforms aggregate consumer data from multiple data …

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 …

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.

Peeling Back The Student Privacy Pledge, Alexi Pfeffer-Gillett

Scholarly Articles

Education software is a multi-billion dollar industry that is rapidly growing. The federal government has encouraged this growth through a series of initiatives that reward schools for tracking and aggregating student data. Amid this increasingly digitized education landscape, parents and educators have begun to raise concerns about the scope and security of student data collection.

Industry players, rather than policymakers, have so far led efforts to protect student data. Central to these efforts is the Student Privacy Pledge, a set of standards that providers of digital education services have voluntarily adopted. By many accounts, the Pledge has been a success. …

The Inadequate, Invaluable Fair Information Practices, Woodrow Hartzog

Faculty Scholarship

For the past thirty years, the general advice for those seeking to collect, use, and share people’s personal data in a responsible way was relatively straightforward: follow the fair information practices, often called the “FIPs.” These general guidelines were designed to ensure that data processors are accountable for their actions and that data subjects are safe, secure, and endowed with control over their personal information. The FIPs have proven remarkably sturdy against the backdrop of near-constant technological change. Yet in the age of social media, big data, and artificial intelligence, the FIPs have been pushed to their breaking point. We …

Trending @ Rwu Law: Linn F. Freedman's Post: The Goal Of Gender Equality In Cybersecurity 08/23/2016, Linn F. Freedman

Law School Blogs

No abstract provided.

Big Data, Bigger Dilemmas: A Critical Review, Hamid Ekbia, Michael Mattioli, Inna Koupe, G. Arave, Ali Ghazinejad, Timothy Bowman, Venkatq R. Suri, Tsou Andrew, Scott Weingart, Cassidy R. Sugimoto

Articles by Maurer Faculty

The recent interest in Big Data has generated a broad range of new academic, corporate, and policy practices along with an evolving debate among its proponents, detractors, and skeptics. While the practices draw on a common set of tools, techniques, and technologies, most contributions to the debate come either from a particular disciplinary perspective or with a focus on a domain-specific issue. A close examination of these contributions reveals a set of common problematics that arise in various guises and in different places. It also demonstrates the need for a critical synthesis of the conceptual and practical dilemmas surrounding Big …