Science and Technology Policy Commons^™

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 …

Opportunities, Challenges, And Conspicuous Absences: An Integrative Review Of The Social Work Literature On Artificial Intelligence, Michael J. Massey, Ian G. Williams, Grace C. Polistina, Eathan A. Breaux

Publications and Research

INTRODUCTION: Social work discourse regarding artificial intelligence (AI) in practice, research, and education has proliferated over the last 5 years, reflecting both excitement over its potential and ambivalence about its ethical challenges. However, the extent to which social work is fully engaging with the structure of AI and its enormous impacts on the environment, labour, and distribution of power remains unclear.

METHODS: An integrative review of social work literature from 2020–2024 was conducted to address two research questions: 1) What is the nature of the social work discourse related to AI? 2) To what extent is the discourse …

Can An Experienced Qualitative Researcher Distinguish Ai From Human Qualitative Content Analysis?, Alexandra T. Lucas, Jianna Ramos, Maria Bajwa, Aaron Calhoun, Mark W. Scerbo, Janice C. Palaganas

Psychology Faculty Publications

Background

Artificial intelligence (AI) has become increasingly embedded in research workflows. Large language models (LLMs) are being used to code segments of text, organise codes into themes and interpret patterns within contexts. Recent comparisons between human and AI analyses demonstrate up to 80% thematic overlap, yet humans consistently exhibit deeper interpretive integration and contextual understanding. This study assesses whether experienced researchers can distinguish between entirely human-generated and AI-generated qualitative content analyses of a simulation debriefing.

Methods

We conducted a qualitative descriptive study comparing human-generated qualitative content analysis (QCA) with ChatGPT-4o-generated QCA using a single focus group transcript on emotion management …

Review Of Ai Needs You: How We Can Change Ai’S Future And Save Our Own, Tracy A. Fernandez Rysavy

Feminist Pedagogy

AI Needs You: How We Can Change AI’s Future and Save Our Own urges citizens to band together now, while A.I. is still in its nascent stages, to head off its potentially destructive repercussions and ensure that the technology serves more than just a wealthy few. While such efforts might seem out of reach in our polarized society, author Verity Harding points to three cases from history where policy was heavily influenced by multistakeholder collaborations. This review encourages educators to use the book as a way to study business ethics; out-of-the-box thinking; and intersectional, inclusive consensus-building over a top-down approach.

What Municipalities Really Want: Perceptions Of Artificial Intelligence Among New York State Municipal Leaders, Nicholas Croce, Saba Siddiki

Center for Policy Design and Governance

This brief summarizes "What Municipalities Really Want: Perceptions of Artificial Intelligence among New York State Municipal Leaders," co-authored by Nicholas Croce (Syracuse University) & Saba Siddiki (Syracuse University).

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 …

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 …

Research On Quantitative Evaluation Of Artificial Intelligence Policy Texts In The Yangtze River Delta Region, Ying Zhou, Danjie Yang, Mei Jiang, Xiaochun Zhao

Journal of Scientific Information Research

[Purpose/significance]The quantitative evaluation of existing effective artificial intelligence (AI) policies aims to provide reference for government department to formulate scientific and reasonable AI policies and promote the development of AI. [Method/process]Taking 10 AI policies in the Yangtze River Delta region from 2015 to 2024 as the research samples, the text mining method is used to construct the evaluation index system of AI policies in the Yangtze River Delta region, and conduct quantitative evaluation by combining the PMC index model. [Result/conclusion]The study found that from a macro policy text perspective, the average PMC index of the 10 AI policy samples in …

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 …

Artificial Intelligence Foundation Model Risk Identification And Governance Model From Esg Perspective, Jincheng Shi, Guoyu Wang, Yingchun Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The application ecology of artificial intelligence foundation model is rapidly expanding. The environment, society, and governance are facing new challenges and opportunities. Exploring the construction of a governance framework for the development risks of foundation model has important theoretical value and practical significance for promoting the healthy and sustainable development of artificial intelligence. Based on the theories of ESG and artificial intelligence governance, this study analyzes the development benefits and typical risks of foundation model from the perspective of ESG and then constructs a risk governance framework and implementation strategies for artificial intelligence foundation models. This study shows that a …

Participatory Ethical Regulations: Risk Challenges Of Artificial Intelligence Era And Construction Of Governance Logic, Chenggang Zhang, Lu Pan

Bulletin of Chinese Academy of Sciences (Chinese Version)

Participatory ethical norms emphasize the involvement of diverse stakeholders, aiming to construct a more comprehensive and balanced ethical governance framework. The rapid development of artificial intelligence (AI) technology is leading society through unprecedented transformations, significantly impacting ethical perspectives, social governance models, and the symbiotic relationship between humans and technology. The participatory ethical norms, characterized by multi-stakeholder participation, interactivity, and openness, represent a crucial pathway for addressing the challenges posed by the rapid development of AI technology. Constructing an AI governance framework based on participatory ethical norms provides solutions for the sustainable, fair, and transparent development of AI from multiple aspects …

Overview On Autonomous Machine Computing, Shaoshan Liu, Yiming Gan, Yinhe Han

Bulletin of Chinese Academy of Sciences (Chinese Version)

Autonomous machine computing, an innovative blend of algorithms, software, and cutting-edge computing hardware, is poised to be the next major paradigm shift in the global economy, following personal, mobile, and cloud computing. This study delves into the research and commercialization of the robotics industry, underscoring the critical importance of establishing a comprehensive autonomous machine computing ecosystem. This study argues that autonomous machine computing necessitates a complete ecosystem that encompasses applications, programming languages, and the foundational hardware architectures, and presents a comprehensive review of significant research contributions across these areas. Moreover, the study explores the synergy between autonomous machine computing and …

Accelerating The Development Of Ai-Driven Knowledge Innovation System, Innovation Paradigm Research Group, Chinese Academy Of Sciences

Bulletin of Chinese Academy of Sciences (Chinese Version)

The world is undergoing a paradigm shift in full-chain innovation driven by AI-powered scientific research, which will give rise to a completely new knowledge innovation system. This profound and comprehensive transformation presents a critical opportunity for China to build an independent knowledge innovation system and a major historical chance to accelerate its development into a science and technology powerhouse. The deep impact of this change stems from AI’s ability to reshape the epistemology and methodology of knowledge innovation, accelerating the iteration of scientific theories and the deep restructuring of knowledge systems. This shift is making the structure of knowledge more …

Redefining Science Education Paradigm—By Course Habitable Earth, Nianzhi Jiao, Sanzhong Li, Chen Hu, Zhonghe Zhou, Degan Shu, Shucheng Xie, Jianping Huang, Fahu Chen, Lin Ding, Tong Zhu, Yigang Xu, Yonglong Lyu, Zhimin Jian, Pinxian Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

In a rapidly evolving world defined by unprecedented challenges, the integration of education, technology, and talent development has emerged as a national strategic imperative. Cultivating interdisciplinary and innovative scientific talents is not only a demand of the era but also a cornerstone for transforming “population dividends” into “talent dividends”. Against this backdrop, the rapid advancement of artificial intelligence (AI) offers both challenges and opportunities for redefining traditional education models. This study explores the pedagogical practices of the Habitable Earth general science education course, positioning it as a case study to demonstrate how science education can synergize technological empowerment with talent …

Comparative Analysis And Insights Into R&D Mode Of Top Artificial Intelligence Companies In China And The Us, Xiyi Yang, Jia Jia, Xiaoyu Zhou, Shouyang Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Artificial intelligence (AI) is currently one of the most prominent fields in the technology industry, with China and the US being two global centers for AI research and development. However, the two countries differ in their development levels of the AI industry. In particular, the emergence of ChatGPT in 2022 has sparked extensive discussions regarding the capabilities and competitiveness of Chinese AI companies. This study analyzes over 120 000 AI invention patents approved in the past five years in both China and the US. Firstly, it constructs a multidimensional index based on AI patent features to identify the top 10 …

Social Order In Age Of Artificial Intelligence, Yongnian Zheng

Bulletin of Chinese Academy of Sciences (Chinese Version)

While the rapid development of artificial intelligence is empowering society, it is also posing serious threats to the continuation of the traditional social order. The "de-intellectualization" function of AI has given rise to the phenomenon of "artificial ignorance", referring to the self-inflicted intellectual harm caused by the uncontrolled and excessive misuse of AI-related tools, thus causing a profound impact on the social order. The technical structural characteristics and governance structural characteristics of AI contributed to the emergence of the phenomenon of "artificial ignorance". The technical structural characteristics of AI can be summarized as highly concentrated capabilities, highly centralized control, highly …

Impact Analysis Of Artificial Intelligence Technology On Employment And Income In China, Yan Lu, Lincui Gui

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the continuous development of artificial intelligence technology, employment and income in China will undergo some new changes. It is necessary to explore the impact of artificial intelligence technology on employment and income distribution. The study finds that in terms of employment, the impact of artificial intelligence includes redefining the number and nature of jobs, affecting work patterns and work skills, and possibly triggering structural imbalances between supply and demand in the labor market, leading to employment inequality, increasing employment risks. In term of income distribution, artificial intelligence technology has a heterogeneous impact on the initial distribution of different fields, …

Open Governance And Innovation Directions Regulation: Research On Institutional Mechanisms For Promoting Development Of Artificial General Intelligence, Yuhao Jiang, Xinyi Zhang, Mingjie Dai

Bulletin of Chinese Academy of Sciences (Chinese Version)

In the field of artificial intelligence development, there is still a certain gap between China and the United States. The uncertain future of artificial general intelligence (AGI) decides that China should not only implement the "catch-up" strategy. Artificial intelligence is not a ‘linear innovation' development path, but there is overlap between basic research, applied research, and industrial transformation. This feature of innovation shows that diversified exploration can be realized based on tracking of international frontiers, breakthrough of basic research, and satisfaction of diverse application needs. China needs to adhere to the promotion of open governance, and regulate innovation directions of …

Research On Data Security And International Governance Cooperation Framework In Era Of Artificial Intelligence, Yuanyuan Wei

Bulletin of Chinese Academy of Sciences (Chinese Version)

This study explores the international cooperation framework for data security governance and its implementation pathways from a global governance perspective. First, the study defines the concepts of data security and governance, emphasizing that the core objective of data governance is to ensure the secure flow and effective utilization of data. Second, it analyzes the current fragmentation of the global data governance system, revealing its development trends and challenges under the influence of geopolitics, particularly the tensions and collaborations in key areas such as cross-border data flows. Based on this analysis, the study proposes the concept of the "Embedded Digital Community …

Study On Constraints And Policy Responses For Production And Circulation Of Ai Training Data In China, Tao Lin

Bulletin of Chinese Academy of Sciences (Chinese Version)

The quantity and quality of training data are critical to the performance of artificial intelligence (AI) models. However, in China, the production of training data is hindered by issues such as insufficient quantity, low quality, and fragmented distribution, compounded by limitations stemming from commercial ecosystems, regulatory frameworks, and restricted development and utilization of public data. To address these challenges, this study proposes several policy recommendations, including incentivizing research institutions to generate open-source datasets, fostering AI application scenarios, adopting a "loose-in, focus-out" regulatory approach, introducing intellectual property exemption provisions, refining personal information protection guidelines, and expediting the establishment of a unified …

New System For Mobilizing Resources Nationwide To Promote Leapfrog Development Of Innovation Ecosystem Of Artificial Intelligence Enterprises: Mechanisms, Problems And Strategies, Yang Mei, Hao Niu, Han Jiang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Facing the unpredictable new features of top-down AI technological innovation and the new requirements on functions, this study proposes to re-examine the technological innovation of AI at the enterprise level from the perspective of the "a new system for mobilizing the resources nationwide" and with the enterprise innovation ecosystem as the carrier. On the basis of explaining the elements and operation logic of the new system at the enterprise level, compared to the "implicit national system" of the US, this study preliminarily compares the new system of AI in China and that in the US. It is proposed that the …

How China Leads Global Governance Of Artificial Intelligence: A Sustainable Development Approach Beyond Technological Competition, Xuanming Pan, Zhenzhen Chen, Shaoshan Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

In the context of great power competition and escalating geopolitical conflicts, the academic community generally holds a pessimistic view of AI international cooperation, believing that the space is shrinking. This perception mainly stems from conflicts in the cross-border supervision of AI data and algorithms among technologically advanced countries, while overlooking the strong willingness and potential for cooperation in energy conservation and emission reduction through AI technologies shown by Global South countries. Looking into the future of global governance, China, starting from leading the transformation of AI technologies, shall take lead in supporting these countries to transform the sustainable development consensus …

Efficient Discovery And Industrialized Manufacture Of Terpenoids, Haoming Chi, Liying Er, Tiangang Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Terpenoids, a class of chemical entities with diverse biological activities in nature, demonstrate significant potential for applications in fields such as drug discovery, flavor industry, and agriculture. However, traditional methods face challenges, including inefficiency and high costs, in the discovery and industrialization of terpenoids. The rapid development of synthetic biology, genomics, artificial intelligence, and automation provides new opportunities for efficient terpenoid discovery and industrialization. This study comprehensively analyzes how these technologies synergistically contribute to the discovery, optimization, and large-scale production of terpenoids, and summarizes the current high-yield situations of terpenoids. The aim is to propose innovative strategies to accelerate technological …

Artificial Intelligence Driven Information Technology System Restructuring And Reconstruction—Review Of Information Science & Technology In China: A Roadmap To 2050, Xuehai Hong

Bulletin of Chinese Academy of Sciences (Chinese Version)

The Information Science & Technology in China: A Roadmap to 2050 and Information Technology: Accelerating the Integration of Human Machine Things have predicted the long-term development of China’s information technology field. This study reviews the development and changes in the field of information technology in the past 15 years, and compares them with the initial predictions, pointing out that some important judgments made at the beginning were in line with expectations. In recent years, the global development of information technology has entered a slow period, while the rapid evolution of the new generation of artificial intelligence will bring new opportunities …

Content Moderation As Surveillance, Hannah Bloch-Wehba

Faculty Scholarship

Technology platforms are the new governments, and content moderation is the new law, or so goes a common refrain. As platforms increasingly turn toward new, automated mechanisms of enforcing their rules, the apparent power of the private sector seems only to grow. Yet beneath the surface lies a web of complex relationships between public and private authorities that call into question whether platforms truly possess such unilateral power. Law enforcement and police are exerting influence over platform content rules, giving governments a louder voice in supposedly “private” decisions. At the same time, law enforcement avails itself of the affordances of …

Ethics And Governance Of General Models: Challenges And Countermeasures, Yan Teng, Guoyu Wang, Yingchun Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

In recent years, the general model is one of the most important development trends of artificial intelligence. With the rapidly increasing research and deployment of general models, the social and ethical effects of general models have received extensive attention. Grounded in the characteristics of general models, this article analyzes the potential ethical challenges of the models at three levels:algorithm, data, and computing power. The detailed challenges include uncertainty, truthfulness, reliability, bias, toxicity, fairness, privacy, and environmental issues. Also, through the lens of philosophy of technology, it elaborates the important reasons for the ethical challenges:the "mirroring" effect and transparency problem caused …

Smart Education Technology: How It Might Transform Teaching (And Learning), Stéphan Vincent-Lancrin

New England Journal of Public Policy

This article highlights the importance of digitalization as a societal trend for education and discusses how artificial intelligence and learning analytics are transforming (or have the potential to transform) educational practices. It showcases the opportunities of smart technologies for education systems and how the work and role of teachers could be affected, before making some forward-looking concluding remarks.

Proactive Union And Teacher Strategies For Shaping Technology In Education, Thomas A. Kochan

New England Journal of Public Policy

Artificial intelligence and related technologies will have profound effects on the future of work in all industries and occupations, including education. But technology has no predetermined effects. How it will change work, working conditions, and the performance of organizations depends on who participates in the key decisions that (1) define the problems technology is asked to solve, (2) set the design parameters that shape specific applications, (3) link new technologies and work processes, (4) ensure that the workforce is well-prepared to use advanced technologies, (5) determine who controls the data generated by these tools, and (6) address the needs of …

A.I.’S Impact On Jobs, Skills, And The Future Of Work: The Unesco Perspective On Key Policy Issues And The Ethical Debate, Gabriela Ramos

New England Journal of Public Policy

This article discusses how the principles, values, and actionable policy areas detailed in the UNESCO Recommendation on the Ethics of AI can help steer the impact of artificial intelligence (AI) on jobs, skills, and the future of work in an inclusive, accountable, transparent, and people-centered way, and in line with the rule of law. It also discusses the provisions contained in this normative instrument compared with existing evidence on the cognitive and socioemotional skills required in the digital era, and the way AI is shaping job tasks, employment dynamics, and occupational mobility-related needs. It examines the challenges and possibilities related …

Brave New World - Emerging Threats In Cybersecurity, Rhonda S. Binda

Open Educational Resources

The trifecta of globalization, urbanization and digitization have created new opportunities and challenges across our nation, cities, boroughs and urban centers. Cities in particular are in a unique position at the center of commerce and technology becoming hubs for innovation and practical application of emerging technology. In this rapidly changing 24/7 digitized world, governments are leveraging innovation and technology to become more effective, efficient, transparent and to be able to better plan for and anticipate the needs of its citizens, businesses and community organizations. This class will provide the framework for how cities and communities can become smarter and more …