Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]

Artificial intelligence (AI) stands at a pivotal crossroads, heralding advancements that promise to reshape societies and economies in profound ways. At the heart of this technological evolution lies the concept of superintelligence—a theoretical state where AI surpasses human intelligence across all domains. In ‘Superintelligence: AI Risks and Benefits’, this eBook offers a comprehensive exploration of this groundbreaking frontier, diving into its potential, risks, and the multifaceted discourse surrounding its development. With insights from leading experts in AI ethics, governance, and research, this eBook delves into the intricate details of superintelligence. Readers will discover an in-depth analysis of its definitions, the transformative benefits it could bring, and the ethical considerations that come with it. The book addresses the profound challenges and regulatory hurdles associated with managing such powerful technology while emphasizing the importance of responsible development. Through a multidisciplinary approach, ‘Superintelligence: AI Risks and Benefits’ brings together perspectives from AI researchers, philosophers, ethicists, policymakers, and global stakeholders. The discussions highlight both the remarkable possibilities that superintelligence might unlock—such as accelerated scientific breakthroughs and solutions to global issues—as well as the significant risks, including ethical dilemmas, societal disruptions, and existential threats. The eBook underscores the critical role of ethical frameworks, safety protocols, and international collaboration in shaping a future where AI enhances human well-being while mitigating potential harms. The United Nations’ perspective on AI’s role in advancing sustainable development goals further contextualizes the urgency of addressing AI's societal impacts and ensuring its equitable benefits. Join us on this enlightening journey into the realm of superintelligence, where we embrace the opportunities it presents and remain vigilant to the challenges ahead. May this eBook serve as a beacon for informed decision-making and a catalyst for meaningful discussions in the evolving landscape of artificial intelligence.

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.

This book constitutes the refereed proceedings of the 14th Digital Human Modeling & Applications in Health, Safety, Ergonomics & Risk Management (DHM) Conference, held as part of the 25th International Conference, HCI International 2023, which was held virtually in Copenhagen, Denmark in July 2023. The total of 1578 papers and 396 posters included in the HCII 2023 proceedings was carefully reviewed and selected from 7472 submissions. The DHM 2023 method focuses on different areas of application and has produced works focused on human factors and ergonomics based on human models, novel approaches in healthcare and the application of artificial intelligence in medicine. Interesting applications will be shown in many sectors. Work design and productivity, robotics and intelligent systems are among this year's human-machine modeling and results reporting efforts.

This book is a collection of thoroughly well-researched studies presented at the Eighth Future Technologies Conference. This annual conference aims to seek submissions from the wide arena of studies like Computing, Communication, Machine Vision, Artificial Intelligence, Ambient Intelligence, Security, and e-Learning. With an impressive 490 paper submissions, FTC emerged as a hybrid event of unparalleled success, where visionary minds explored groundbreaking solutions to the most pressing challenges across diverse fields. These groundbreaking findings open a window for vital conversation on information technologies in our community especially to foster future collaboration with one another. We hope that the readers find this book interesting and inspiring and render their enthusiastic support toward it.