Science and Technology Policy Commons^™

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 …

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 …

Artificial Intelligence And The Future Of Global Inequality, Valentina Caceres

Posters - 2026

Artificial Intelligence (AI) is rapidly becoming a central tool in the global system, shaping economic growth, political power, and international influence. While AI is often celebrated for innovation and progress in different sectors like education, healthcare, security and more, its development is uneven and mostly concentrated in wealthy countries. Because AI is increasingly embedded in economic production, public administration, and social services, access to AI capabilities has become a key determinant of global competitiveness and influence. Many developing nations lack the capital, infrastructure, and technological capacity needed to compete in the global economy driven by AI. This imbalance matters because …

Assessing Public-Sector Readiness For Artificial Intelligence In Egypt, Renad Ahmed Anwar

Theses and Dissertations

Artificial intelligence (AI) is increasingly adopted in public-sector contexts, yet successful implementation depends on organizational readiness, particularly in developing countries. This study assesses the readiness of Egypt’s public sector for AI adoption using a qualitative expert opinion methodology. Semi-structured interviews were conducted with senior professionals from global technology firms with extensive experience working with public-sector entities in Egypt.

Guided by by an integrated framework combining organizational readiness theory, the Technology–Organization–Environment (TOE) framework, and public value and governance perspectives, the study examines strategic, organizational, human, technological, societal, and governance dimensions of AI readiness. The findings indicate that while Egypt demonstrates strong …

Calculated Risks: The Power Of Predictive Risk Models To Regulate Families Of Color, Ashleigh Washington

Dissertations, Theses, and Capstone Projects

This dissertation examines predictive risk modelling (PRM) in New York City Administration for Children's Services (ACS), specifically exploring AI-enabled design features, practices, and encoded and racialized assumptions about risk in child welfare prevention services. Guided by Critical Race Theory and the Algorithmic Ecology framework, this study traces how PRM in ACS evolved from a service termination tool into a broader, largely internal surveillance apparatus that leverages families’ personal information, including health information, to assess risk of future maltreatment and to evaluate contracted service providers. Drawing on analysis of public records and in-depth interviews with Black parents, the findings describe how …

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 …

Artificial Intelligence (Ai) And The Anthropic Economic Index In The Mountain West, 2025, Cason Noll, Olivia K. Cheche, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents 2025 data on the state of artificial intelligence (AI) adoption among the five Mountain West states of Arizona, Colorado, Nevada, New Mexico, and Utah. The data are sourced from the “Anthropic Economic Index,” which provides data on Claude.ai (an AI large language model) and its adoption across all 50 U.S. states and Washington, D.C. This fact sheet focuses on Claude.ai usage, the most common topic Claude.ai has been used for, and augmentation and automation shares for each Mountain West state.

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.

Sons Of Disobedience And Their Machines: How Sin And Anthropology Can Inform Evangelical Thought About Ai, Gregory S. Mckenzie

Liberty Theological Review

The purpose of this paper is to further discussion about artificial intelligence by examining AI from the perspective of the doctrine of sin. As such, philosophy of mind and theological anthropology, specifically, what it means to be human, the effects of sin, and the consequent social ramifications of AI drive the analysis of this paper. Accordingly, the conclusions of the analysis are that the depravity of fallen humanity is cause for concern in the very programming of AI and serves as a corrupted foundation for artificial machine cognition. Given the fallen nature of human thought, and therefore, fallen AI thought, …

Artificial Intelligence (Ai) Capacity In Mountain West Metros, Olivia K. Cheche, Ally M. Beckwith, William E. Brown Jr.

Economic Development & Workforce

This fact sheet highlights data on artificial intelligence (AI) growth in Mountain West metropolitan areas over the last several decades, as originally reported by Mark Muro and Sifan Liu from the Brookings Institution’s Metropolitan Policy Program. The Brookings report examines how various metros across the United States contribute towards AI technology creation and business activity.

The Future Of Policy Tools: Promises And Pitfalls, Michael Howlett, Ishani Mukherjee, Sarah Giest

Research Collection School of Social Sciences

The study of policy tools has been undertaken for several decades. It has isolated and examined many different types of tools utilized by governments over the course of history and examined in detail how they are arranged into policy mixes or portfolios of tools. Recent developments in society and technology, however, have brought to the fore the possibility of using new or previously little-used tools such as platforms, co-production, nudges, as well as data-driven techniques, such as big data and artificial intelligence. These are added to the toolbox governments have at their disposal when designing policy responses to both new …