A new challenge has become present in the field of generative artificial intelligence (AI). The fundamental nature of education, a vital element for advancing the United Nations' Sustainable Development Goals (SDGs), now grapples with the transformative impact of AI technologies. As we stand at this intersection of progress and pedagogy, critical questions surface about the future roles of educators and the integrity of assessment processes. AI's rapid progression prompts an exploration of the competencies our education systems must cultivate in a world where human and machine intelligence are becoming increasingly interconnected. Against this backdrop of transformative uncertainty, Integrating Generative AI in Education to Achieve Sustainable Development Goals addresses profound challenges and offers promising solutions at the crossroads of AI and education. This book assembles distinguished academics, researchers, and practitioners, forming a collective voice on the intersection of Generative AI and education. The three-part structure dissects the technical aspects of AI-powered innovations in educational design, explores multidisciplinary applications enhancing educational content, and highlights AI-driven solutions to address equality and inclusion concerns within educational systems. The book also underscores the importance of ethical considerations of generative AI to ensure a future where technology serves the broader goals of sustainability and equitable education. This book's primary objective is to serve as a resource for academicians, independent researchers, research scholars, students, scientists, libraries, and industry experts. Through a diverse range of topics, it investigates how generative AI can advance Sustainable Development Goals, making education more accessible, individualized, and effective. By harnessing the power of AI, the book argues, education can act as a catalyst for positive change, empowering individuals and fostering progress toward a sustainable and equitable future. The recommended topics within each part provide a structured framework for deepening the understanding of Generative AI's role in shaping the future of education, making this book a valuable reference for scholars and practitioners alike.

This document presents information and solutions to educators across the spectrum of enthusiasm and adoption interests,empowering everyone to make educated decisions for themselves and their students regarding generative AI. In this Optimizing AI in Higher Education: SUNY FACT² Guide, Second Edition, you will find updated information to reflect the changing landscape of generative AI technology. We offer practical suggestions for how to help educators and students achieve AI literacy and find the right methods of using or eschewing generative AI in their pedagogy. The second edition represents both an update to the first Guide, but also a recognition of the fact that generative AI is a tool in constant development; we will continue to advocate for equitable education and access for all students and educators as this dynamic and innovative field continues to grow. The book results from a Task Group charged by the FACT2 Council with Judith Littlejohn as Chair. Co-chairs Billie Franchini and Jeffrey Riman, who also served as editors, led the Task Group's year-long efforts. This textbook is part of a collection of course materials available to students because of a collaboration between SUNY OER Services and 64 ink(tm), an imprint of SUNY Press. All of the course materials in this program were created or adapted by SUNY faculty. Individuals may order print copies directly from the SUNY Press website. Bookstores may purchase books by contacting SUNY Press Customer Service at 877-204-6073 or 703-661-1575.