Science and Technology Policy Commons^™

The End Of Unmeasured Exploitation: How A.S.M., C.A.S., And S.I.A. Challenge Digital Attention Capitalism, Delante Clark

Graduate Scholarship and Creative Works

Digital attention capitalism generates value through the capture and monetization of human attention, yet it has historically lacked standardized mechanisms for measuring attention-related harm. This paper argues that the Attention Safeguard Models (A.S.M.), Cognitive Attentional Standards (C.A.S.), and Sociological Impact Assessment (S.I.A.) collectively challenge this system by introducing an integrated framework for classifying, measuring, and evaluating digital attention harm and its societal consequences. C.A.S. provides standardized measurement of digital attention harm, A.S.M. identifies and classifies patterns of attentional disruption and manipulation, and S.I.A. evaluates broader impacts on institutions, communities, civic engagement, education, social cohesion, and inequality. Together, these systems transform …

Building China’S Space Station Intellectual Property Protection System: Strategic Demands, International Rule Competition, And Institutional Pathways, Xiao Youdan, Bing Xiao, Yi Zheng, Xianghui Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

As China’s space station transitions into its application and development phase, on-orbit research outputs are entering a period of concentrated yield. The protection of space station intellectual property (IP) has evolved from a theoretical proposition into a pressing institutional demand. For decades, developed economies, notably the United States and European nations, have dominated the development of international space IP rules. Their core approach extends the traditional principle of territoriality through “legal fiction”, establishing jurisdiction based on the “State of registry’s jurisdiction”—that is, treating space objects as extensions of the registering State’s territory, thereby extending the reach of domestic IP law …

Made In America, Hidden By Ai: Ai Shopping Chatbots Reveal How Amazon And Walmart Hurt American Manufacturers And Deceive Shoppers, Erie Meyer, Zachary Harris

Center for Law and the Economy

This article investigates the capabilities of two AI shopping agents — Alexa for Shopping and Sparky, operated by Amazon and Walmart respectively — to identify country of origin for products on their respective platforms and flag potential “Made in USA” misrepresentations — where products with “Made in USA” in their title or listing have another country or “imported” listed as their country of origin. This article finds that (1) Amazon and Walmart have the technical capability to detect and flag “Made in USA” fraud; (2) “Made in USA” fraud appears to be common on both Amazon and Walmart; (3) Amazon …

Expanding The Cognitive Attentional Standards Platform Through Artificial Influence Assessment (Aia): Rationale, Development, And Measurement Design, Delante Clark

Graduate Scholarship and Creative Works

Artificial intelligence is increasingly shaping how individuals access information, make decisions, and interact with digital environments. The Cognitive Attentional Standards Platform (C.A.S.) was developed to assess attention related harms, cognitive safety, digital autonomy, and platform influence across digital systems (Clark, 2026). However, the growth of generative AI, conversational agents, and algorithmic decision support technologies has introduced new forms of influence that may not be fully captured by existing assessment domains. This paper proposes the Artificial Influence Assessment (AIA) as an expansion of the C.A.S. framework designed to measure AI mediated influence on cognition, behavior, autonomy, and information processing. Drawing on …

Governing Algorithmic Attention: Attention Safeguard Models And The Cognitive Attentional Standard As System Level Interventions In Human Computer Interaction, Behavioral Economics, And Artificial Intelligence, Delante Clark

Graduate Scholarship and Creative Works

Algorithmic recommendation systems and interface designs shape attention by combining visually salient cues with uncertain reward timing and low friction interaction. These conditions can sustain anticipatory checking, extend time on task, and reduce natural disengagement points through patterns such as infinite scrolling and autoplay. This paper synthesizes research across neuroscience, human computer interaction, behavioral economics, and artificial intelligence to argue that attention capture is a predictable outcome of incentive driven design rather than an individual failure of self regulation. It advances the Attention Safeguard Models and the Cognitive Attentional Standard as system level interventions that regulate exposure conditions, pacing, and …

Shaping Egypt’S Transition To Sustainable Electric Transport: Current Policies And Future Directions, Noha A. Ragab

Theses and Dissertations

Egypt has enacted policies to promote the adoption of electric vehicles (EVs) in order to reduce their overall carbon footprint. However, the pace of transition remains limited, so the research aims to answer the following question: “How do current policies shape Egypt’s transition towards sustainable electric transport, and what additional measures can support this transition?" The study employs a qualitative analysis methodology, based on diffusion of innovation theory and conceptual framework, to analyze current policies in Egypt and identify challenges and gaps in their implementation. It also analyzes responses from 23 interviews with experts in the field, manufacturers, dealers, EV …

The Degradation Of Prices: Platform Power, The Erosion Of Price Comparison, And Rebuilding Comparison Shopping In The Digital Economy, Stephanie T. Nguyen, Shaoul Sussman

Center for Law and the Economy

The ability to know the price of a product or service and then compare prices of similar products or services is a foundational cornerstone of consumer choice and competitive markets. Once, buyers could more easily compare identical products across multiple sellers. However, this process has systematically degraded over time and has become increasingly difficult to do in practice. When prices are a reliable signal of product and market value, consumers can make informed purchasing decisions and sellers can compete for business by offering more attractive prices to consumers. This is a core market force that keeps price levels in check …

Ai Is Taking Over!: A New Generation Of Unemployment Fears, Amaya V. Hepburn

Student Scholar Symposium Abstracts and Posters

The growing panic surrounding AI taking over the workforce is strong in a distinct group of demographics, in contrast to the fear of computers taking over the workforce that was seen in previous generations. This suggests that AI developments have sparked a wave of fear that is unlike the fear of tech developments in the past. I have discovered that this fear is prevalent across several demographics: age, employment, and income. By cross-analyzing through the 2017 and 2025 fear surveys, I discovered that fear of AI is more prevalent in younger generations and is more threatening to students entering the …

Workplace Monitoring Platforms Are Sharing Your Data: An Investigation & Roadmap To Address Data Abuses, Stephanie T. Nguyen, Levi Kaplan, David Choffnes, Alan Mislove, Seth Frotman, Erie Meyer

Center for Law and the Economy

This report investigates the data collection practices of nine widely used workplace monitoring platforms to determine the extent to which they track and analyze employee activity, behavior, or performance during work, including how these platforms transmit worker information and to which third-parties. This report finds that (1) nine out of nine workplace monitoring platforms studied directly shared identifying worker data to third parties, (2) nine out of nine workplace monitoring platforms studied shared information about workers’ online activities with third parties, and (3) three out of nine workplace monitoring platforms studied utilize features to track workers’ precise location. This report …

The Expanding Digital Border: Ai, Surveillance, And The Fight For Justice, James Chesser

Immigration and Human Rights Law Review

As artificial intelligence transforms the mechanisms of immigration control, the modern border has become a digital filter—one governed less by geography and more by code. This Article examines the legal, technical, and ethical implications of AI-driven systems now central to global border enforcement, including biometric surveillance, algorithmic risk scoring, and predictive profiling. It explores how states use these technologies not only to manage irregular migration, but to compete for global talent—constructing migration regimes that reward capital and compliance while eroding transparency, due process, and equality.

Through an international and comparative lens, the piece highlights the expansion of algorithmic decision-making across …

The Last Human Question: Generative Ai's Existential Threat To Consensus And Law, Joshua Fairfield

West Virginia Law Review

The true risk of artificial intelligence (“AI”) is not that the toasters will rise up. It is that AI will be competent to perform human tasks and indifferent to human welfare. The risk is that we will be outcompeted by generative automated processes that create output similar to ours (although never the same, as this Article explains), but which need none of the outputs of the economy for food, shelter, or human flourishing. Further, a more precise and existential description of the threat is that generative AI will disrupt and crowd out humanity’s evolutionary superpower, our ability to generate agreement …

Ai And Law Milestones: From Top-Down To Bottom-Up Computational Models Of Legal Reasoning (And Back), Kevin Ashley

West Virginia Law Review

This Article introduces five research and development milestones in the field of Artificial Intelligence and Law and then discusses how large language models (“LLMs”) and generative AI (“GenAI”) are affecting each of them. The milestones include legal expert systems, lessons learned in computationally modeling legal rules and statutes, knowledge-based models of legal argument, machine learning models that classify case texts and predict outcomes, and the design and evaluation of legal applications of LLMs and GenAI. These milestones illustrate how top-down knowledge-based computational models of legal expertise have rapidly given way to bottom-up models based on machine learning. Knowledge-based models explicitly …

A View Under The Hood: Duquesne Kline's Law And Computing Program, Wesley M. Oliver, Katherine L.W. Norton, Martin Mckown, David Horrigan

West Virginia Law Review

No abstract provided.

Training New Lawyers With And For Generative Ai: A Semester-Long Experiment Scaling Clinical Friction In The Doctrinal Classroom, Frank W. Volk

West Virginia Law Review

No abstract provided.

Augmented Advocacy: Ethical Constraints And Regulatory Gaps In Ai-Driven Legal Practice, Molly M. Rowlands

West Virginia Law Review

The rapid advancement of artificial intelligence (“AI”) and particularly generative AI (“Gen AI”) is reshaping the legal profession in unprecedented ways. AI-powered tools enhance efficiency, improve accuracy in legal analysis, and expand access to justice by automating research, contract review, litigation support, and predictive analytics. However, these benefits come with significant ethical, regulatory, and procedural challenges, including competency concerns and AI “hallucinations,” data confidentiality risks, algorithmic bias, and the environmental impact of AI-driven computing. This Note critically examines the evolving role of AI in legal practice and evaluates the inadequacies of existing regulatory frameworks—such as Rule 11 of the Federal …

Monetary System Upgrade Driven By Financial Technology: Path Exploration And Practical Insights Based On E-Cny, Chen Chen, Hong Chi, Ping Zhang, Yilei Liang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Financial technology (fintech) is a key variable reshaping national financial competitiveness, and promoting the digital upgrade of the monetary system is a core task in building a financially strong nation. As a pivotal component of the monetary system, the electronic Chinese yuan (e-CNY), based on its inherent fintech attributes, serves as a critical practice for driving the monetary system towards a more advanced stage of evolution. Currently, the traditional monetary system faces three major challenges: low efficiency and high risks in cross-border payments, structural attenuation in monetary policy transmission, and a lack of digital safe-haven assets. Starting from the pilot …

When Words Flow Like Water: How The Enbridge Line 3 Pipeline Environmental Impact Statement Failed To Prevent Hydrogeologic Harm In Minnesota, Carly Gutzmann

Journal of Earth and Life Science

For the aquifers of Minnesota, the environmental impact statement (EIS) was a promise of protection that never left the page. An environmental impact statement is meant to be an aid in the decision making process in order to ensure that projects consider potential environmental harms that may occur. However, they are often used instead as another regulatory box to check, rather than as active considerations when planning. As such, a project plan can be flawed from the start—if project developers only consider environmental impacts after they have already put considerable time, effort, and funding into their project as-is, they may …

Powering The Machine, Draining The Planet: Whether U.S. Environmental Law Is Equipped To Regulate The Energy And Water Demands Of Ai Data Centers, Michael Marcu

Journal of Earth and Life Science

Artificial intelligence (AI) data centers have become one of the United States' fastest-growing and least-regulated sources of environmental stress. In 2024 alone, U.S. data centers consumed 183 terawatt-hours (TWh) of electricity more than the entire nation of Pakistan and consumed an estimated 17 billion gallons of water (IEA, 2025; Berkeley Lab, 2024). By 2030, electricity demand from these facilities is projected to reach 426 TWh, a 133% increase in six years (Pew Research Center, 2025). This paper examines whether the existing U.S. environmental regulatory framework put by the National Environmental Policy Act (NEPA), the Clean Water Act (CWA), and the …

Artificial Elections: How Artificial Intelligence Can Affect Elections And Decide Our Future, Ryan D. Granger

Honors Undergraduate Theses

This thesis examines the growing role of artificial intelligence (AI) in democratic elections, highlighting both its transformative potential and its associated risks. Drawing on a qualitative analysis of existing literature, the study explores how AI is increasingly integrated into political campaigns, election administration, and voter engagement. Key benefits include enhanced data analysis, personalized political messaging, and improved efficiency in campaign operations. AI also supports real-time fact-checking and more accurate vote tabulation, which can strengthen transparency and trust in electoral processes. However, the thesis emphasizes that these advantages are accompanied by significant challenges. AI technologies enable the rapid creation and dissemination …

Juxtaposing Approaches To Risk-Based Ai Governance In Different ‘Rights’ Contexts: A Comparative Analysis Between Singapore And The Eu, Jane Loo, Mark Findlay

Research Collection Yong Pung How School Of Law

Comparative analysis of European and certain Asian approaches to governance often degenerates into simplistic dichotomies based on universal human rights assumptions. This chapter rejects such dualities, ill-informed by theory and historical reflection. The emerging argument is founded on a historical realist approach to theorising difference. Assisted by Polanyi’s double movement, the detailed substantive comparison is preceded by considerations of how recent trends in governing AI have uniformly adopted a countermovement against the dis-embedding of data and technology from the social leading to a risk/responsibility paradigm. From here, a more nuanced reflection of AI governance approaches in the EU and Singapore …

Artificial Intelligence In Surveillance And Privacy, Elizabeth D. Brasher

NEXUS: The Liberty Journal of Interdisciplinary Studies

This paper attempts to provide insight into the new and developing world of artificial intelligence and its integration into surveillance technologies. These technologies being implemented by the government, retail companies, healthcare organizations, and more, all raise ethical questions and implications addressed in this article; other topics, such as the integration of Christian ethics and responsibilities, are also explored.

Selected Artificial Intelligence Provisions In U.S. Fiscal Year 2025 National Defense Authorization Act, Bert Chapman

Libraries Faculty and Staff Presentations

The 2025 Fiscal Year National Defense Authorization Act contains multiple provisions relating to artificial intelligence (AI). These congressionally mandated provisions direct various sections of the Department of Defense (DOD) and individual U.S. armed service branches to execute congressional intent for AI policymaking. Examples of such intent include identifying and planning DOD's AI workforce, demonstrating AI biotechnology applications for national security, improving the human usability of AI systems, and establishing an AI security center. This presentation will note that reports on these initiatives must be prepared for relevant congressional oversight committees, and, in many cases, are in many cases, publicly released …

Institutional Constraints And The Ai Automation Gap: A Case Study Of Proposal Evaluation In Federal Ict Procurement At U.S. Customs And Border Protection, Farhan Bin Amjad

Harrisburg University Dissertations and Theses

This research investigates the institutional constraints shaping the adoption of AI-assisted proposal evaluation in federal ICT procurement, using U.S. Customs and Border Protection (CBP) as a case study. Although AI tools are increasingly used by contractors to generate proposals, their integration into government evaluation processes remain limited. Using institutional theory as an analytical framework, this study examines how regulative rules, normative expectations, and cognitive assumptions jointly reinforce a risk-averse procurement culture that inhibits automation. Through a mixed-methods approach—comprising policy analysis, procurement data from FPDS and USAspending.gov, and an elite interview with a CBP contracting officer—the research identifies key barriers to …

Automation Mismatch: How Contractor Ai Adoption Challenges Institutional Procurement Norms At U.S. Customs And Border Protection (Cbp), Farhan Bin Amjad

Beyond the Project Horizon: Journal of the Center for Project Management Innovation

This letter explores a growing strain in the U.S. federal procurement: the automation mismatch between AI-powered proposal development by contractors and the regulation-bound evaluation systems at agencies like U.S. Customs and Border Protection (CBP). Tools like Vultron and Unanet AI have enabled federal contractors to increase proposal submission volume, yet institutional constraints such as data sensitivity, budget limitations, and cultural barriers have hindered equivalent modernization on the government side. This article leverages institutional theory and prior research to analyze this disparity, highlighting how legal and cultural factors limit AI integration in procurement. Detailed analysis of these regulatory and cultural influences …

Recent U.S. Government Policy Literature On Critical And Strategic Minerals, Bert Chapman

Libraries Faculty and Staff Scholarship and Research

Critical and strategic minerals have become increasingly important in U.S. government civilian and military policymaking in recent years. This is demonstrated by the heavy use of such minerals in many critical civilian and military infrastructures. This work will discuss how this subject has been addressed in laws, presidential documents, and works by government agencies along with congressional oversight committees and support agencies. It will stress how the United States is heavily dependent on strategic minerals from adversarial foreign countries such as China and will examine U.S. efforts to increase its ability to produce such materials in the United States by …

A Geopolitical Economy Analysis Of China And India’S Approaches To Transnational Data Governance, Yujia He, Ka Zeng

Patterson School of Diplomacy and International Commerce Faculty Publications

Recent literature on the behavior of rising powers in digital trade and data governance highlights their discourses of data sovereignty and desire to preserve domestic policy autonomy. This article contributes to the literature by employing a political economy lens that shifts the focus from the nation-state/inter-state framework towards the dynamics of state–capital relations, allowing for a more historical and contextual understanding of the geopolitics of data governance in emerging economies. Using China and India—two of the largest emerging economies—as comparative cases, and drawing on secondary data from government documents and other sources, the article argues that the interplay between the …

Digital Transformation Of The Maritime Labour Law : Srems Complaints & Claims Legal, Digital Solution, Case Study Of Morocco, Rida El Missaoui

World Maritime University Dissertations

This Master’s dissertation investigates the strong need to reform and digitalize the mechanisms of monitoring and follow-up of the on-board compliance on seafarer’s rights and obligations through a legal-digital tool.

Volume 7 (2024) Artificial Intelligence And Responsibility, Arwa Alnajashi, Danielle Derise, Philip L. Frana, David Mcgraw, Amanda Sawyer, Tatjana Titareva, Raafat Zaini, Allie Zombron

International Journal on Responsibility

The seventh volume of the International Journal on Responsibility (IJR) arrives at a crucial moment in the evolution of artificial intelligence and its integration into our academic and social fabric. As we witness the rapid advancement and deployment of AI systems across various domains, this special issue examines the multifaceted dimensions of responsibility surrounding AI technology, with a particular focus on its role in higher education and broader societal implications.

The articles in this volume contribute to our understanding of responsibility through diverse lenses, from classroom implementation to ethical design considerations. Together, they fulfill IJR’s central mission of exploring “Who …

Foundation, Challenges And Approaches To Deepen Brics Science, Technology And Innovation Cooperation In Context Of Brics Enlargement, Xiu Yang, Haitao Chen, Ci Fang, Ziran Jiang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Deepening international science and technology innovation (STI) cooperation among BRICS countries is of great significance for empowering Global South and building a global S&T community. This study takes the ten BRICS countries in the expanded membership as the research object, deeply analyzes on deepening international STI cooperation among BRICS countries, and puts forward approaches and suggestions. Research indicates that BRICS countries have established a long-term, stable, and mature mechanism of international STI cooperation that provides an institutional guarantee for deepening international STI cooperation among BRICS countries. The rising impact of STI competence, the expanded scale of STI network, and increasingly …

Construction Of Data Factor Circulation Law System In The United States And Its Reflection For China, Zihan Lin, Youmei Ma, Feng Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

As a pioneer country in the global digital economy, the United States has established a relatively complete system for the circulation of data elements. The focus is on government data openness, with the United States forming a legislative system for data openness at both federal and state levels to ensure data freedom and openness. In the field of personal data trading, the United States has established a relatively relaxed legal environment and data brokers to promote data circulation and trading. At present, China is actively promoting the market-oriented allocation reform of data elements, building a multi-level data element market, and …