Science and Technology Law Commons^™

Trust And Robotics: A Multi-Staged Decision-Making Approach To Robots In Community, Wenxi Zhang, Willow Wong, Mark Findlay

Research Collection Yong Pung How School Of Law

With the desired outcome of social good within the wider robotics ecosystem, trust is identified as the central adhesive of the human–robot interaction (HRI) interface. However, building trust between humans and robots involves more than improving the machine’s technical reliability or trustworthiness in function. This paper presents a holistic, community-based approach to trust-building, where trust is understood as a multifaceted and multi-staged looped relation that depends heavily on context and human perceptions. Building on past literature that identifies dispositional and learned stages of trust, our proposed decision to trust model considers more extensively the human and situational factors influencing how …

A Wrong In Search Of A Duty: Public Nuisance, Social Media And The Youth Mental Health Crisis, Charles Bachmann

Cardozo Journal of Equal Rights & Social Justice

The note argues that social media companies should be held accountable for their role in the youth mental health crisis through the legal framework of public nuisance law. Drawing parallels to successful cases against tobacco and opioid companies, the author contends that social media platforms, by prioritizing profits over user well-being, contribute to widespread harm such as anxiety, depression, and suicide among youth. While acknowledging concerns about judicial overreach and the challenges of proving causation, the note advocates for judicial intervention as a necessary corrective in the absence of effective legislative action.

The Framework Is The Message: Legal And Ethical Implications Of Chatgpt, Amanda Turnbull

Canadian Journal of Law and Technology

The rapid rise of generative AI represents a palpable paradigm shift: models like GPT-3 (and its subsequent iterations), DALL-E, and AlphaCode are becoming foundation models for many other AI-based applications. Foundation models may be used for many different tasks with minimal modification and are positioned to replace task-specific models of AI. This holds tremendous promise in society such as advancing scientific research, rethinking education and training, and creating new types of art and expression. At the same time, however, generative AI has its dark side such as accuracy risk, the threat of large-scale unemployment, potential security vulnerabilities, and AI misbehaviour …

The False Choice Between Digital Regulation And Innovation, Anu Bradford

Faculty Scholarship

This Article challenges the common view that more stringent regulation of the digital economy inevitably compromises innovation and undermines technological progress. This view, vigorously advocated by the tech industry, has shaped the public discourse in the United States, where the country’s thriving tech economy is often associated with a staunch commitment to free markets. U.S. lawmakers have also traditionally embraced this perspective, which explains their hesitancy to regulate the tech industry to date. The European Union has chosen another path, regulating the digital economy with stringent data privacy, antitrust, content moderation, and other digital regulations designed to shape the evolution …

The State Statutes Project, Neel Guha, Diego A. Zambrano

Faculty Scholarship

State statutes are having a moment in national debates. Partly fueled by polarization, state legislatures have pushed the boundaries on almost every important national question, from abortion and regulation of social media, all the way to police lawsuits and drug use. Take, for instance, the by now well-known example of Texas Senate Bill 8. To avoid Roe v. Wade, the Texas Legislature enacted a statute that allowed private parties (really, anyone) to sue abortion providers. The kicker was that the statute prohibited government enforcement in order to prevent Ex parte Young style challenges in federal court. Or take Montana’s attempt …

Anyone You Are Related To Can Be Used Against You: Criminal Discovery Statutes And Investigative Genetic Genealogy, Caroline Levine

Cardozo Law Review

The use of investigative genetic genealogy (“IGG”) as a basis for arresting suspects in complex and dormant investigations is raising serious concerns about whether the due process rights of criminal defendants in these cases are being violated. This Note provides a comprehensive look at the role of this groundbreaking, yet little-understood technology in criminal prosecutions. Technological advances have historically necessitated that courts expand and reinterpret legal principles. As a novel derivative of traditional DNA testing, this Note argues IGG should similarly require that discovery statutes be amended or rewritten to adapt to this cutting-edge technique, which is so new that …

The Intangible Divide: Why Do So Few Firms Invest In Innovation?, James Bessen, Xiupeng Wang

Faculty Scholarship

Investments in software, R&D, and advertising have grown rapidly, now approaching half of U.S. private nonresidential investment. Yet just a few hundred firms account for almost all this growth. Most firms, including many large ones, regularly invest little in capitalized software and R&D, and this "intangible divide" has surprisingly deepened as intangible prices have fallen relative to other assets. Using comprehensive US Census microdata, we document these patterns and explore a variety of factors associated with intangible investment. We find that firms invest significantly less in innovation-related intangibles when their rivals invest more. One firm's investment can obsolesce rivals' investments, …

Regulating Algorithmic Harms, Sylvia Lu

Law & Economics Working Papers

In recent years, the rapid expansion of artificial intelligence (AI) innovations has led to a rise in algorithmic harms—harms emerging from AI operations that pose significant threats to civil rights and democratic values in today’s technological landscape. A facial recognition system for improving criminal detection wrongly collected sensitive personal data and flagged racial minorities as shoplifters. A risk-prediction algorithm adopted to identify patients denied medical treatment to Black individuals with poor health conditions. A social media algorithm intended to boost social engagement exacerbated addictive behavior and mental illness in teenagers. These harms are becoming increasingly ubiquitous yet often manifest in …

Brief Of 15 Scholars Of Law And Medicine As Amici Curiae In Support Of The Petition For Rehearing En Banc, Charles Duan

Amicus Briefs & Court Filings

The panel decision announces an over-expansive, ill-defned doctrine of inducement, in which well-pled allegations may be based on nothing more than ordinary marketing materials and mandatory labeling--even when those materials never recite or describe the claimed invention. This unprecedented and erroneous expansion of inducement liability leaves the law uncertain. It is now unclear, among other things, what statements a generic frm may make about its own product's equivalence and how much of the generic product's labeling information must be revised--assuming that such revisions are even regulatorily allowed--in order to avoid the risk of an inducement lawsuit.

Revitalizing Biotechnological Advancement In The United States: Patent Eligibility Reform To Promote Innovation While Preserving Morality, Sydney Virtue

West Virginia Law Review

Patent protection has long been recognized as a key part of promoting innovation; however, current patent eligibility law in the United States often produces the exact opposite result. While the basic framework for patent eligibility is provided by the Patent Act, the United States Supreme Court has crafted several significant exceptions to patent eligibility—laws of nature, natural phenomena, and abstract ideas. These judicial exceptions have created a crisis in patent law and impeded biotechnological innovation, as they are too vague to be properly confined and carry tests that are too ambiguous for predictable application. To promote and retain world leadership …

Balancing Interests: Ai, Business & Human Rights, And The Legal Landscape In An Era Of Disruption, Jena Martin, Ritu Narula

West Virginia Law Review

On October 30, 2023, the Biden Administration issued a sweeping executive order espousing a policy to advance the development and use of artificial intelligence (“AI”) while also establishing safeguards across the federal government. The Executive Order marked the U.S. government’s largest move forward related to the regulation of AI. The Order also represents the government’s latest effort to advance equity, privacy, and national security in the use of AI systems. Moreover, the Order comes at a time when governments around the world are wrestling with the impact of AI and its disruptive effect, not just on markets, but on society …

Is Distance From Innovation A Barrier To The Adoption Of Artificial Intelligence?, Jennifer Hunt, Iain Cockburn, James Bessen

Faculty Scholarship

Using our own data on Artificial Intelligence publications merged with Burning Glass vacancy data for 2007-2019, we investigate whether online vacancies for jobs requiring AI skills grow more slowly in U.S. locations farther from pre-2007 AI innovation hotspots. We find that a commuting zone which is an additional 200km (125 miles) from the closest AI hotspot has 17% lower growth in AI jobs’ share of vacancies. This is driven by distance from AI papers rather than AI patents. Distance reduces growth in AI research jobs as well as in jobs adapting AI to new industries, as evidenced by strong effects …

Scla 521 Ai In Society, Bert Chapman

Libraries Faculty and Staff Presentations

Provides access to information resources on societal impacts of artificial intelligence from multiple libraries databases covering multiple disciplines including government information resources.

Defining Relevant Markets In Digital Ecosystems, Daniel A. Crane

Articles

Traditional market definition focuses on the substitutability of two products or geographies. In digital ecosystems, competition often occurs in important ways that elide definition in conventional substitutability terms. This Article considers three kinds of economic rivalry that do not fit the conventional market definition mold: (1) Single-side competition: In two sided markets, firms may compete on just one side of the market. For example, Google and Facebook compete for the same advertisers, but their users on the other side of the market do not necessarily think of the offerings (social media and universal search) as substitutes; (2) Ecosystem competition: Technology …

We Are The Ai Problem, Tonja Jacobi, Matthew Sag

Emory Law Journal Online

This Essay describes what we call “the Black Nazi Problem,” a shorthand for the sometimes-jarring text and images produced by AI, from the incongruous—such as female Indian popes—to the outrageous—such as depicting minorities as their own historical oppressors, including Black Nazis. These images were the result of overzealous efforts by AI developers to correct for a lack of diverse representation in the training data used to create Generative AI models. The overrepresentation of white, fully-abled, Western men in images of high status categories, and the invisibility of women, people of color, and the disabled, except in low status categories, and …

Aligned With The Blueprint For An Ai Bill Of Rights? An Ai Transparency Evaluation Of Company Privacy Notices And Explanations, Jonathan A. Obar, Giuseppina D'Agostino, Motunrayo Akinyemi

Conference Papers

In its Blueprint for an AI Bill of Rights, the White House lists “notice and explanation” as one of five principles fundamental to protecting the American public as artificial intelligence (AI) is deployed. The Blueprint states “[y]ou should know that an automated system is being used and understand how and why it contributes to outcomes that impact you.” In its description of the notice/explanation principle, The White House emphasizes the importance of plain language explanations about AI use. Furthermore, a company should describe how it plans to use AI systems, how the systems work, and explain any risks to consumers. …

Changes In Revenues Associated With Antimicrobial Reimbursement Reforms In Germany, Matt Mcenany, Kevin Outterson

Faculty Scholarship

Policy declarations from the G7 and other high-level meetings call for increased incentives for antimicrobial research and development (R&D). Governments fund push incentives like CARB-X and GARDP, and G7 countries are now designing pull incentives—financial rewards given to manufacturers post-market authorization that are intended to encourage the creation and introduction of novel antimicrobials. Germany has declared previously at the G7 that it has developed a pull incentive that will increase revenues from sales of important new antimicrobials, principally by exempting them from some aspects of health technology benefit assessments and reference pricing, which should result in higher prices. This policy …

Collective Attribution In Cyberspace: A Rebranded Version Of Attribution Does Not Make It More Effective, Dan Efrony

International Law Studies

The international community has been unsuccessful in establishing an effective legal framework for holding States accountable for cyber wrongdoing. Instead, official political attribution—collectively denouncing States for irresponsible conduct in cyberspace—has become a common substitute to encourage compliance with voluntary non-binding international norms. Since December 2017, the United States and United Kingdom, along with their closest allies, have embraced and implemented collective attributions and responses. They thereby seek to shape “rules of the road” for responsible State behavior in cyberspace and to enhance accountability and deterrence. However, these attributions rely primarily on the outcomes of American and British attribution processes that …

Masthead

UC Law Science and Technology Journal

No abstract provided.

Amazon’S Algorithmic Rents: The Economics Of Information On Amazon, Ilan Strauss, Tim O’Reilly, Mariana Mazzucato

UC Law Science and Technology Journal

Amazon’s maturing e-commerce platform has seen its business strategy evolve from growth at any cost to a “quest for profit”, underpinned by its burgeoning $37.7bn advertising business. Through advertising, Amazon compels its captive third-party merchant ecosystem to pay for one of its most valuable assets – customer attention. Advertising leverages Amazon’s unique position as a discovery platform. Discovery is governed by Amazon’s algorithms — the nerve centre of its conduct and a critical guide to market structure. Algorithms are the principal market institution coordinating exchange online, yet often escape market investigations.

Prevailing doctrine assumes that platform rent extraction, via algorithmic …