Ai Policy Principles Practice And The Path Forward
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AI Policy: Principles, Practice, and the Path Forward
This comprehensive volume on AI policy provides an in-depth, forward-looking exploration of how artificial intelligence intersects with governance, ethics, law, economy, and society. Structured across four parts and thirty chapters, the book examines both foundational principles and emerging challenges in global AI policymaking. The first part lays the groundwork, tracing historical technology policies, defining AI within regulatory contexts, and analyzing ethical frameworks and geopolitical approaches. Part II explores core policy themes such as data governance, algorithmic transparency, human rights, bias, accountability, economic disruption, surveillance, national security, and environmental impact. These chapters unpack the tensions between innovation and regulation, and between individual rights and collective risks. Part III shifts to the tools of governance, distinguishing between soft law (standards, guidelines) and hard law (binding regulations), and addressing mechanisms like policy sandboxes, public procurement levers, and risk differentiation between safety and security. The final part uniquely delves into underexplored topics, including AI in informal economies, the Global South, participatory governance, open-source regulation, and liability insurance. The concluding chapters anticipate future challenges—global treaty feasibility, long-term foresight, institutional capacity-building, and evaluating policy effectiveness. A strong emphasis is placed on democratizing AI policy, arguing that equitable, inclusive, transparent, and accountable governance must be central to any sustainable AI future. By offering a holistic yet detailed view, the book equips policymakers, researchers, and civil society actors with the tools to navigate and shape AI governance in a way that serves the public good, respects diversity, and guards against harm across all societies.
AI Testing
""AI Testing"" explores how artificial intelligence is transforming educational assessment, aiming to enhance exam design, prevent cheating, and improve test accuracy. Traditional testing methods often suffer from biases and inefficiencies; AI offers a robust alternative. For instance, AI can tailor questions to individual student proficiency levels, creating personalized and accurate assessments. Furthermore, AI proctoring technologies utilize biometric identification and behavioral analysis to maintain academic integrity. The book delves into case studies and research demonstrating AI's effectiveness in improving test accuracy through automated performance tracking and personalized feedback. It highlights AI's role in optimizing exams for enhanced validity and reliability. The book also acknowledges the necessity for careful validation to prevent biases and addresses ethical considerations in data privacy and student monitoring. It progresses from foundational AI concepts to practical applications across educational settings.
Human-Centered 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.