Science and Technology Law Commons^™

The Centrality Of Data And Compute For Ai Innovation: A Blueprint For The National Research Cloud, Daniel E. Ho, Jennifer King, Russell C. Wald, Christopher Wan

Notre Dame Journal on Emerging Technologies

From the introduction: Artificial intelligence (AI) appears poised to transform the economy across sectors ranging from healthcare and finance to retail and education. What some have coined the “Fourth Industrial Revolution” is driven by three key trends: greater availability of data, increases in computing power, and improvements to algorithm design. First, increasingly large amounts of data have fueled the ability for computers to learn, such as by training an algorithmic language model on all of Wikipedia. Second, better computational capacity (often termed “compute”) and compute capability have enabled researchers to build models that were unimaginable merely ten years ago, spanning …

Note: Structured Psychometrics In Biglaw Talent Acquisition: Ai-Driven Quantitative Fit, Joseph J. Kim

Notre Dame Journal on Emerging Technologies

This Note combines a number of perspectives and disciplines to proffer a unique suggestion toward recognizing better talent and acquiring a new intraindustry competitive edge.

Deepfake Fight: Ai-Powered Disinformation And Perfidy Under The Geneva Conventions, David Nicholas Allen

Notre Dame Journal on Emerging Technologies

Deception and disinformation are as much a part of the battlefield as bullets and bombs. However, just like with bullets and bombs, if the law does not properly regulate a capability’s use the capability could degrade faith in the law. In this respect, this paper examines deepfake technology, a modern artificial intelligence-based capability that can generate superficially-perfect yet wholly invented media content. The paper looks ahead to its potential future applications in armed conflict, processes the ways in which current law contemplates such deception, and distills recommendations for improving governance where needed.

In Defense Of (Virtuous) Autonomous Weapons, Don Howard

Notre Dame Journal on Emerging Technologies

I will argue, we can construct effective means for norming the use of autonomous weapons short of a total ban by building upon the foundation of existing requirements stipulated in Article 36 of Protocol I to the Geneva Conventions that all new weapons technologies be reviewed for compliance with the International Law of Armed Conflict (ILOAC) and International Humanitarian Law (IHL). I begin with a critical review of several of the most commonly encountered arguments in favor of a ban. That is followed by a discussion of the moral opportunities afforded by enhanced autonomy. I conclude with a concrete policy …

Ethical Ai In American Policing, Elizabeth E. Joh

Notre Dame Journal on Emerging Technologies

We know there are problems in the use of artificial intelligence in policing, but we don’t quite know what to do about them. One can also find many reports and white papers today offering principles for the responsible use of AI systems by the government, civil society organizations, and the private sector. Yet, largely missing from the current debate in the United States is a shared framework for thinking about the ethical and responsible use of AI that is specific to policing. There are many AI policy guidance documents now, but their value to the police is limited. Simply repeating …

Note: Regulating Artificial Intelligence: A Call For A United States Artificial Intelligence Agency, Noah John Kahekili Rosenberg

Notre Dame Journal on Emerging Technologies

this Note draws upon two examples of emerging AI technologies that demonstrate the need for federal regulation: autonomous vehicles (i.e., self-driving cars) and algorithm-based hiring software. Part I illustrates the public safety concerns associated with AI technologies by outlining the inadequacy of existing laws and regulations on autonomous vehicles. Part II addresses the shortcomings of current regulations on algorithm-based hiring software and the issue of discrimination and inherent bias in AI. Part III recommends the creation of a new federal agency to guide AI regulation and enforcement.

The Digital First Sale Doctrine In A Blockchain World: Nfts And The Temporary Reproduction Exception, Chelsea Lim

Fordham Law Review

In 2021, non-fungible tokens (NFTs) exploded in popularity. Representing over sixty million dollars in sales, NFTs are currently being bought and sold in almost every industry, in the form of exclusive videos in the sports industry and digital paintings in the art industry. NFTs are digital certificates that use blockchain technology to verify authenticity and proof of ownership. Through NFTs’ non-fungible and immutable characteristics, owners are able to create scarcity for and authenticity in digital copies of their works, replicating the tangible experience of owning a physical, limited-edition item. NFTs have also been able to promote a unique secondary marketplace, …

Bridging The Computer Science – Law Divide, Azer Bestavros, Stacey Dogan, Paul Ohm, Andrew Sellars

Faculty Scholarship

Many pressing societal questions can be answered only by bringing experts from different disciplines together. Questions around misinformation and disinformation, platform power, surveillance capitalism, information privacy, and algorithmic bias, among many others, reside at the intersection of computer science and law. We need to develop institutions that bring together computer scientists and legal scholars to work together on issues like these, and to train new innovators, thought leaders, counselors, and policymakers with hybrid training in both disciplines. In Universities, the disciplines of Computer Science (CS) and Law are separated by many wide chasms. Differences in standards, language, methods, and culture …

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 …

Algorithmic Governance From The Bottom Up, Hannah Bloch-Wehba

Faculty Scholarship

Artificial intelligence and machine learning are both a blessing and a curse for governance. In theory, algorithmic governance makes government more efficient, more accurate, and more fair. But the emergence of automation in governance also rests on public-private collaborations that expand both public and private power, aggravate transparency and accountability gaps, and create significant obstacles for those seeking algorithmic justice. In response, a nascent body of law proposes technocratic policy changes to foster algorithmic accountability, ethics, and transparency.

This Article examines an alternative vision of algorithmic governance, one advanced primarily by social and labor movements instead of technocrats and firms. …

Beyond Window Dressing: Public Participation For Marginalized Communities In The Datafied Society, Michele Estrin Gilman

Fordham Law Review

We live in a datafied society in which our personal data is being constantly harvested, analyzed, and sold by public and private entities, and yet we have little control over our data and little voice in how it is used. In light of the impacts of algorithmic decision-making systems—including those that run on machine learning and artificial intelligence—there are increasing calls to integrate public participation into the adoption, design, and oversight of these tech tools. Stakeholder input is particularly crucial for members of marginalized groups, who bear the disproportionate harms of data-centric technologies. Yet, recent calls for public participation have …

A Study On The Legal Status And Responsibilities Of The Master In Autonomous Vessels : The Case Of General Remote Operators, Minchol Ji

World Maritime University Dissertations

No abstract provided.

High Time For Change: The Legalization Of Marijuana And Its Impact On Warrantless Roadside Motor Vehicle Searches, Molly E. O'Connell

Washington and Lee Law Review Online

The proliferation of marijuana legalization has changed the relationship between driving and marijuana use. While impaired driving remains illegal, marijuana use that does not result in impairment is not a bar to operating a motor vehicle. Scientists have yet to find a reliable way for law enforcement officers to make this distinction. In the marijuana impairment context, there is not a scientifically proven equivalent to the Blood Alcohol Content standard nor are there reliable roadside assessments. This scientific and technological void has problematic consequences for marijuana users that get behind the wheel and find themselves suspected of impaired driving. Without …

The 'Merge' Did Not Fix Ethereum, Hilary J. Allen

Popular Media

The Ethereum blockchain that facilitates much of the crypto world last month finally accomplished the long-promised and oft-delayed “Merge”, a technical switch in the way it works.

Machine Learning-Based Medical Devices: The Fda’S Regulation, Requirements, And Restrictions, Charli Beam

Journal of Law and Health

The FDA should create functional regulations for the growing number of machine learning medical devices. The healthcare system is increasingly using these devices for diagnosis. Machine learning devices trained on biased data sets are susceptible to furthering certain types of bias and generating flawed outcomes. The FDA should require ML medical devices to include a label that describes the demographics of the tested population. If manufacturers fail to include this information, the FDA could determine the label false or misleading under §502 of the FD&C Act and stop sales of the device. After approval, the FDA should use §814.89(2) and …

Transcript: Presentation On Artificial Intelligence And Discrimination In Healthcare, Sharona Hoffman

Journal of Law and Health

The following is a transcription from The Digital Health and Technology Symposium presented at Cleveland-Marshall College of Law by The Journal of Law & Health on Friday, April 8, 2022. This transcript has been lightly edited for clarity.

Transcript: Presentation On Individual Autonomy In Ai Healthcare, Charlotte Tschider

Journal of Law and Health

The following is a transcription from The Digital Health and Technology Symposium presented at Cleveland-Marshall College of Law by The Journal of Law & Health on Friday, April 8, 2022. This transcript has been lightly edited for clarity.

Transcript: Presentation On Data Privacy Questions In The Digital Health World, Sara Gerke

Journal of Law and Health

The following is a transcription from The Digital Health and Technology Symposium presented at Cleveland-Marshall College of Law by The Journal of Law & Health on Friday, April 8, 2022. This transcript has been lightly edited for clarity.

Why Is A Debt Collector Texting Me? The Modernization Of Debt Collection Practices, Emily Schmidt

University of Cincinnati Law Review

No abstract provided.

Attack On The Spac: The Push To Regulate Special Purpose Acquisition Companies As Investment Companies Under The Investment Company Act, Sean Meyer

University of Cincinnati Law Review

No abstract provided.

Speech Markets & Web3: Refreshing The First Amendment For Non-Fungible Tokens (Nfts), Tanner Dowdy

University of Cincinnati Law Review

No abstract provided.

Law School News: Rewards Of The Road Less Traveled 10-13-2022, Michelle Choate

Life of the Law School (1993- )

No abstract provided.

Life After Google V. Oracle: Three Reflections On A Theme, Daryl Lim

IP Theory

In 2004, Professor Leaffer published an article titled Life after Eldred: The Supreme Court and the Future of Copyright. He wrote about three cases decided in or after 2001 to provide a snapshot of the Supreme Court’s position on copyright issues. This Article discusses three reflections on this theme. The first reflection flows directly from Google. It discusses fair use in Andy Warhol Found. for Visual Arts, Inc. v. Goldsmith, as well as text and data mining for artificial intelligence uses. This Article then reflects on Arnstein v. Porter’s lessons for modern copyright infringement law. Finally, it reflects on the …

Information Privacy And The Inference Economy, Alicia Solow-Niederman

Northwestern University Law Review

Information privacy is in trouble. Contemporary information privacy protections emphasize individuals’ control over their own personal information. But machine learning, the leading form of artificial intelligence, facilitates an inference economy that pushes this protective approach past its breaking point. Machine learning provides pathways to use data and make probabilistic predictions—inferences—that are inadequately addressed by the current regime. For one, seemingly innocuous or irrelevant data can generate machine learning insights, making it impossible for an individual to anticipate what kinds of data warrant protection. Moreover, it is possible to aggregate myriad individuals’ data within machine learning models, identify patterns, and then …

Blocking Nature's Vulnerable Calls For Help: The Tenth Circuit Dials Into The Telecommunications Act's Federal Environmental Preemption Clause In Santa Fe Alliance V. City Of Santa Fe, Samantha Speiss

Villanova Environmental Law Journal (1991 - )

No abstract provided.

Reconciling Copyright "Restoration" For Pre-1972 Foreign Sound Recordings With The Classics Protection And Access Act, Tyler T. Ochoa

IP Theory

When Congress first added sound recordings to the Copyright Act, it acted prospectively only: sound recordings fixed on or after February 15, 1972, received federal statutory copyright protection, while sound recordings fixed before February 15, 1972, were left to the vagaries of state law. This historic inequity was corrected in 2018 with enactment of the Classics Protection and Access Act (CPA), which provides sui generis protection to pre-1972 sound recordings that is similar, but not identical, to federal copyright protection. But there is a subset of pre-1972 sound recordings that already had federal copyright protection before the CPA was enacted: …

Highly Automated Vehicles & Discrimination Against Low-Income Persons, William H. Widen

Articles

Law reform in the United States often reflects a structural bias that advances narrow business interests without addressing broader public interest concerns.' This bias may appear by omitting protective language in laws or regulations which address a subject matter area, such as permitting the testing of highly automated vehicles ("HA Vs") on public roads, while omitting a requirement for a reasonable level of insurance as a condition to obtain a testing permit.2 This Article explores certain social and economic justice implications of laws and regulations governing the design, testing, manufacture, and deployment of HA Vs which might advance a business …

Aclp - Overview Of Bead Program (Updated) - October 2022, New York Law School

Reports and Resources

No abstract provided.

Aclp - Broadband Planning Tool Kit - October 2022, New York Law School

Reports and Resources

This Tool Kit provides state and local policymakers with a range of resources and analyses for use during broadband planning. The Tool Kit focuses on the array of grant and other funding opportunities available to states and localities as a result of the Infrastructure Investment & Jobs Act, as well as other pandemic-era stimulus programs. However, the Tool Kit is also useful for broadband planning outside of these specific funding programs. Indeed, the Tool Kit offers foundational planning resources that can be used now and in the future by officials, ISPs, and other stakeholders in the broadband space.

Social Media Harms And The Common Law, Leslie Y. Garfield Tenzer

Elisabeth Haub School of Law Faculty Publications

This article finds fault with the judiciaries' failure to create a set of common law norms for social media wrongs. In cases concerning social media harms, the Supreme Court and lower courts have consistently adhered to traditional pre-social media principles, failing to use the power of the common law to create a kind of Internet Justice.

Part I of this article reviews social media history and explores how judicial decisions created a fertile bed for social media harm to blossom. Part II illustrates social media harms across several doctrinal disciplines and highlights judicial reluctance to embrace the realities of social …