"Book abstract: The Oxford Handbook of AI Governance examines how artificial intelligence (AI) interacts with and influences governance systems. It also examines how governance systems influence and interact with AI. The handbook spans forty-nine chapters across nine major sections. These sections are (1) Introduction and Overview, (2) Value Foundations of AI Governance, (3) Developing an AI Governance Regulatory Ecosystem, (4) Frameworks and Approaches for AI Governance, (5) Assessment and Implementation of AI Governance, (6) AI Governance from the Ground Up, (7) Economic Dimensions of AI Governance, (8) Domestic Policy Applications of AI, and (9) International Politics and AI"--

Artificial intelligence (AI) permeates our lives in a growing number of ways. Relying solely on traditional, technology-driven approaches won't suffice to develop and deploy that technology in a way that truly enhances human experience. A new concept is desperately needed to reach that goal. That concept is Human-Centered AI (HCAI). With 29 captivating chapters, this book delves deep into the realm of HCAI. In Section I, it demystifies HCAI, exploring cutting-edge trends and approaches in its study, including the moral landscape of Large Language Models. Section II looks at how HCAI is viewed in different institutions—like the justice system, health system, and higher education—and how it could affect them. It examines how crafting HCAI could lead to better work. Section III offers practical insights and successful strategies to transform HCAI from theory to reality, for example, studying how using regulatory sandboxes could ensure the development of age-appropriate AI for kids. Finally, decision-makers and practitioners provide invaluable perspectives throughout the book, showcasing the real-world significance of its articles beyond academia. Authored by experts from a variety of backgrounds, sectors, disciplines, and countries, this engaging book offers a fascinating exploration of Human-Centered AI. Whether you're new to the subject or not, a decision-maker, a practitioner or simply an AI user, this book will help you gain a better understanding of HCAI's impact on our societies, and of why and how AI should really be developed and deployed in a human-centered future.

This timely Handbook explores the relationship between public policy and artificial intelligence (AI) technologies across a broad range of geographical, technical, political and policy contexts. It contributes to critical AI studies, focusing on the intersection of the norms, discourses, policies, practices and regulation that shape AI in the public sector.

A data model represents a precise information landscape, and there are different levels of modeling depending on the audience and the model's purpose. A conceptual data model (CDM) is the highest-level of modeling and is designed to capture business needs and help both business and IT professionals agree on a common set of terms and definitions. It is an extremely powerful data model and this video will not only explain the CDM, but also work with you on a hands-on exercise covering the five steps for creating a CDM. Learn why the CDM is so important and see several actual CDMs and learn how each was built. This video was recorded live during Steve Hoberman's Data Modeling Master Class. More on this 3-day data modeling course at stevehoberman.com.

Attention in the AI safety community has increasingly started to include strategic considerations of coordination between relevant actors in the field of AI and AI safety, in addition to the steadily growing work on the technical considerations of building safe AI systems. This shift has several reasons: Multiplier effects, pragmatism, and urgency. Given the benefits of coordination between those working towards safe superintelligence, this book surveys promising research in this emerging field regarding AI safety. On a meta-level, the hope is that this book can serve as a map to inform those working in the field of AI coordination about other promising efforts. While this book focuses on AI safety coordination, coordination is important to most other known existential risks (e.g., biotechnology risks), and future, human-made existential risks. Thus, while most coordination strategies in this book are specific to superintelligence, we hope that some insights yield “collateral benefits” for the reduction of other existential risks, by creating an overall civilizational framework that increases robustness, resiliency, and antifragility.

Gain the knowledge and tools to effectively govern and oversee the use of artificial intelligence in your organization, ensuring compliance with emerging global regulations. Become equipped with the necessary knowledge to establish a solid foundation for managing your AI investments and apply a technology that will revolutionize how you serve your markets, manage your internal business processes, and embed your products0́9 capabilities. --Back cover.

This book provides a comprehensive analysis covering the confluence of Artificial Intelligence (AI), Cyber Forensics and Digital Policing in the context of the United Kingdom (UK), United States (US) and European Union (EU) national cybersecurity. More specifically, this book explores ways in which the adoption of AI algorithms (such as Machine Learning, Deep Learning, Natural Language Processing, and Big Data Predictive Analytics (BDPAs) transforms law enforcement agencies (LEAs) and intelligence service practices. It explores the roles that these technologies play in the manufacture of security, the threats to freedom and the levels of social control in the surveillance state. This book also examines the malevolent use of AI and associated technologies by state and non-state actors. Along with this analysis, it investigates the key legal, political, ethical, privacy and human rights implications of the national security uses of AI in the stated democracies. This book provides a set of policy recommendations to help to mitigate these challenges. Researchers working in the security field as well advanced level students in computer science focused on security will find this book useful as a reference. Cyber security professionals, network security analysts, police and law enforcement agencies will also want to purchase this book.