Science and Technology Policy Commons^™

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 …

Regulatory Reform For Agentic Ai: Addressing Governance Challenges In Federal Ai Adoption, Satyadhar Joshi

Harrisburg University Other Works

The rapid advancement of artificial intelligence (AI), particularly agentic AI systems capable of autonomous decision-making, has exposed significant gaps in existing federal regulatory frameworks. This paper examines the regulatory barriers inhibiting AI innovation and adoption identified in the Office of Science and Technology Policy's (OSTP) Request for Information (RFI) on regulatory reform. We analyze five categories of barriers—regulatory mismatches, structural incompatibility, lack of clarity, direct hindrance, and organizational factors—and propose a comprehensive governance framework integrating technical standards, risk management protocols, and policy recommendations. Drawing from extensive literature on AI governance tools and frameworks, we present actionable solutions for modernizing federal …

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).

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 …

Ethical Risks Of Frontier Science And Technology: An Escalating Threat, Xiao Lu, Huihui Liu, Rui Li, Jiaofeng Pan

Bulletin of Chinese Academy of Sciences (Chinese Version)

Science and technology (S&T) are not only powerful tools for development, but also a source of risk. The new round of scientific and technological revolution and industrial transformation are accelerating in current times. It deeply influences and fundamentally reshapes human production and life, which can raise a range of known and unknown ethical risks, involving individual rights and interests, social stability, national security, as well as sustainable development of mankind. This study summarizes the characteristics of ethical risks in frontier S&T, including the dependence on related fields, high uncertainty, social reconstruction, and ultimate challenge. Considering the risks in various fields, …

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 …

Analysis And Strategy Of Ai Ethical Problems, Zhaoxiang Zhang, Jiyu Zhang, Tieniu Tan

Bulletin of Chinese Academy of Sciences (Chinese Version)

Artificial intelligence (AI) is the core of the fourth industrial revolution, and it has brought challenges to ethics and social governance. On the basis of explaining the current ethical risks of artificial intelligence, the study furtherly analyzes the current consensus on ethics, governance principles, and governance approaches of artificial intelligence. Moreover, the study also proposes to take "co-construction, co-governance and sharing" as the guiding theory to gradually build a multi-dimensional ethical governance system, including education reform, ethical norms, technical supports, legal regulations, and international cooperation.

There’S Nowhere To Hide: Artificial Intelligence And Privacy In The Fourth Industrial Revolution, Sarah Denton, Eleonore Pauwels, Yujia He, Walter G. Johnson

Patterson School of Diplomacy and International Commerce Faculty Publications

At its core, artificial intelligence (AI) optimizes data. Machine-learning algorithms, one component of AI, are trained using massive datasets curated by humans to predict various aspects of our daily lives. Such predictive intelligence could be a positive force amplified by continued decentralization of the technology. Or, ubiquitous cognition and surveillance could be a disruptive force amplified by the unregulated proliferation of AI technologies. Yet, though we will certainly see more and more AI systems being integrated into every facet of our infrastructures, homes, and bodies, the proliferation of AI technology isn’t the problem. A privacy-security quagmire arises from the interconnectivity …

Framing The Question, "Who Governs The Internet?", Robert J. Domanski

Publications and Research

There remains a widespread perception among both the public and elements of academia that the Internet is “ungovernable”. However, this idea, as well as the notion that the Internet has become some type of cyber-libertarian utopia, is wholly inaccurate. Governments may certainly encounter tremendous difficulty in attempting to regulate the Internet, but numerous types of authority have nevertheless become pervasive. So who, then, governs the Internet? This book will contend that the Internet is, in fact, being governed, that it is being governed by specific and identifiable networks of policy actors, and that an argument can be made as to …