This book includes contributions by scholars from a variety of disciplines, the dialogue and discourse on how AI (artificial intelligence) development includes and/or excludes pedagogical educational learning theories focused on the learner. A call from Educational Leaders Without Borders (ELWB) was issued to scholars from across the globe who were asked to write a vignette described as an evocative description or account on how education leaders envision education in 2051 and A.I. beyond mere product purchase. These vignettes should engage us in questions as to how the development and use of AI technologies are shaped. As educators who believe education should be established on social justice beliefs and practices, our review of literature shows there are no books addressing the complexities of A.I. development and the role of educators. The futuristic element is unique in its approach to imagine a socially just better world in which to inspire educators. This unique feature encourages creativity in how one addresses the call to imagine a future world and our role as educators in that world.

As artificial intelligence becomes an all-encompassing issue in education and beyond, this book seeks to answer how it will change the arc of educational leadership in K-12 schooling. Educators and leaders serve as the champions and gatekeepers of technology use in schools. They need to consider how AI can change education for the better while keeping in mind cultural, social, and emotional concerns that cannot be isolated from educational settings. Jackson and Papa examine existing literature and include insightful interviews with professionals in AI and education to understand how educators currently perceive and use AI. They also illustrate the similarities and differences in how educators and A.I.ED developers envision AI's present and future.

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]

The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.

Artificial Intelligence (AI) has rapidly emerged as a revolutionary force across various sectors, with a profound influence permeating the domain of higher education. AI in higher education encompasses a wide range of applications designed to enhance teaching methodologies, streamline administrative processes, and personalize learning experiences. The transformative potential of AI lies in its ability to process vast amounts of data, identify patterns, and make intelligent decisions, which can significantly improve educational outcomes. AI-Driven Learning and Engagement in Higher Education provides a comprehensive exploration of these themes and offers insights into the theoretical foundations, practical applications, and ethical implications of AI in education. Each chapter delves into specific aspects of AI integration, from personalized learning and intelligent tutoring systems to administrative automation and ethical considerations. Covering topics such as applied artificial intelligence, online learning, and student success, this book is an excellent resource for educators, administrators, policymakers, researchers, academicians, and more.