This is a free, foundational online learning series for any teacher and educator interested in the groundbreaking world of artificial intelligence (AI) and its transformative potential in education. Partners Code.org, ETS, ISTE and Khan Academy are offering engaging sessions with renowned experts that will demystify AI, explore responsible implementation, address bias, and showcase how AI-powered learning can revolutionize student outcomes. Join us on this journey of exploration and empowerment, and unlock the future of teaching with and about AI.

The Student Guide to Artificial Intelligence is an initiative of Elon University, in partnership with the American Association of Colleges and Universities (AAC&U). It is a continuation of a 2023 global collaboration that established a statement of principles to guide development of AI policies and practices in higher education. The statement was released at the United Nations Internet Governance Forum in Kyoto, Japan, and was supported by more than 140 higher education organizations, administrators, researchers and faculty members from 48 countries.

World Education's AI for Learning and Work initiative is dedicated to exploring the intersection of artificial intelligence and education, and how it can shape the future of the way we live and work. On this page, you can access open resources, professional development offerings and opportunities to get involved.

AI and education are not just topics for industry. The education system should be prepared to identify how best to make use of AI in the classroom, reassure teachers, make them responsible users and start an effective teacher-training program. The goal of this textbook is to give teachers the knowledge necessary for deciding if, where and how AI can help.
• How can artificial intelligence impact learning and teaching in my classroom?
• Can it help me do what I want to do with my students?
• How can it change the dynamics and interactions I have with my students?
• How do I even know when it is being used correctly or incorrectly?
• And, what should I be aware of if I want to put it to good use?
Available in English, French, German, Italian, and Slovenian

Learn about the implementation and practical aspects of Artificial Intelligence and how to write a plan for applying AI in your own organization in a step-by-step manner.

This course is not about difficult algorithms and complex programming; it is a course for anyone interested in learning how to integrate AI into their own organization.

To understand how current Artificial Intelligence applications can be successfully integrated in organizations, we look at different examples. For instance, how ING uses reinforcement learning for personalized dialog management with its customers or how Radboud UMC uses diagnostic image analysis to discover early stages of infectious diseases.

As part of our two-course program ‘AI in Practice’, this course will guide you in the practical aspects of applying AI in your own organization. You will examine typical applications of AI in use already and learn from their experience. These include challenges of implementation, lifecycle aspects, as well as the maintenance and management of AI applications.

The course presents a variety of case studies from actual situations in public organizations and private enterprises in the healthcare, financial, retail and telecommunications sectors. These include Radboud UMC, the Municipality of Amsterdam, ING, Ahold Delhaize and KPN.

‘AI in Practice – Applying AI’ gives you the ammunition to understand the practical aspects required for the implementation of a variety of AI applications in your organization.

This course, AI in Practice: Preparing for AI, is the 1st course of the online education program AI in Practice. The course gives you a kaleidoscope of examples of applications of AI in various organizations, outlines the state of the art in modern AI research, and provides practical tools for integrating AI into your own organization. The program AI in Practice is built from two initial courses, AI in Practice: Preparing for AI and AI in Practice: Applying AI.

The AI in Practice: Preparing for AI course is designed for people who want to apply AI in their own practical situation.

For the experienced manager who wants to know what AI can do for her own organization.
For the data analyst or business consultant who wants to understand how AI can be applied in the business processes of the company for which they work.
For the student who wants to understand how the results of AI research can be translated into practical applications.

Garnet Valley School District in PA established a deep commitment to open education when it first joined the #GoOpen Network over eight years ago to advance an OER initiative. Still on an innovative journey to transform teaching and learning, the district’s Director of Technology and Online Learning and Founder and Executive Director of nonprofit Edvative Learning, Sam Mormando is actively exploring the rapidly evolving landscape of AI technology and reflecting on ways it may be advantageous for education, and specifically, for OER. 

Courses on Artificial Intelligence (AI) and Librarianship in ALA-accredited Masters of Library and Information (MLIS) degrees are rare. We have all been surprised by ChatGPT and similar Large Language Models. Generative AI is an important new area for librarianship. It is also developing so rapidly that no one can really keep up. Those trying to produce AI courses for the MLIS degree need all the help they can get. This book is a gesture of support. It consists of about 95,000 words on the topic, with a 3-400 item bibliography.

Overview: Courses on Artificial Intelligence (AI) and Librarianship in ALA-accredited Masters of Library and Information (MLIS) degrees are rare. We have all been surprised by ChatGPT and similar Large Language Models. Generative AI is an important new area for librarianship. It is also developing so rapidly that no one can really keep up. Those trying to produce AI courses for the MLIS degree need all the help they can get. This book is a gesture of support. It consists of about 100,000 words on the topic, with a 4-500 item bibliography. It is the 2024 Second Edition of a 2023 book. It is about 100 pages longer than the first edition.

What is the current state of artificial intelligence (AI) in the world of scholarly communication? What impact does AI have on the practices and strategies of publishers, libraries, information technology companies, and researchers? What exactly is AI and what are those in the realm of scholarly communication actually thinking about it and doing with it?

This Charleston Briefing seeks to provide some answers to these very important questions, offering both general essays on AI and more specific essays on AI in scholarly publishing, academic libraries, and AI in information discovery and knowledge building. The essays will help publishers, librarians, and researchers better understand the actual impact of AI on libraries and publishing so that they can respond to the potentially transformative impact of AI in a measured and knowledgeable manner.

"Charleston Briefings: Trending Topics for Information Professionals" is a thought-provoking series of brief books concerning innovation in the sphere of libraries, publishing, and technology in scholarly communication. The briefings, growing out of the vital conversations characteristic of the Charleston Conference and Against the Grain, will offer valuable insights into the trends shaping our professional lives and the institutions in which we work.

The following is a Generative AI instructional framework that seeks to warn up-and-coming professionals, corporations, and organizations of the potential social dangers of the widespread usage of generative artificial intelligence (AI), while also providing a framework for safeguarding digital racial and gender justice at the institutional level. 

Artificial Intelligence is having a major impact on education. Whether you are excited or concerned about AI, as a school leader you have a responsibility to ensure AI is approached thoughtfully and appropriately in your school community and informs your vision for teaching and learning. This guide, developed by ASCD and ISTE, will help you quickly gain the background you need as a learning leader in an AI-infused world.

This is a playlist of videos from the Creative Commons Global Summit 2023. Videos include sessions that were either pre-recorded or recorded live in Mexico City during 3–6 October 2023.

This overview by CoSN delves into the facts and myths of AI:
"If you've had time to pay attention, you may have picked up on the noise happening in K-12
circles around ChatGPT and the myriad of other AI web tools that suddenly are in the spotlight.
Why all the noise and how do EdTech minded administrators respond?"

In an era defined by rapid technological advancements, artificial intelligence (AI) has emerged as a transformative force in education. However, the successful integration of AI into a school district’s strategy requires careful planning, preparation, and evaluation.  CoSN's collection of resources helps districts in their AI implementation.

These are a set of fictional case studies that are designed to prompt reflection and discussion about issues at the intersection of AI and Ethics. These case studies were developed out of an interdisciplinary workshop series at Princeton University that began in 2017-18. They are the product of a research collaboration between the University Center for Human Values (UCHV) and the Center for Information Technology Policy (CITP) at Princeton. Click the title of each case study to download the full document.

This one-pager summarizes Digital Promise's vision for Artificial Intelligence in education. Digital Promise is focused on AI in education to foster a future where every person engages in sustained and impactful experiences of powerful learning that lead to a life of well-being, fulfillment, and economic mobility.

Digital Scholarship and Data Science Essentials for Library Professionals is an open and collaboratively curated training reference resource. It aims to make it easier for LIBER library professionals to gain a concise overview of the new technologies that underpin digital scholarship and data science practice in research libraries today, and find trusted training materials recommendations to start their professional learning journey.

15. Brave New World: Ethical Considerations and Risks

The trifecta of globalization, urbanization and digitization have created new opportunities and challenges across our nation, cities, boroughs and urban centers. Cities in particular are in a unique position at the center of commerce and technology becoming hubs for innovation and practical application of emerging technology. In this rapidly changing 24/7 digitized world, governments are leveraging innovation and technology to become more effective, efficient, transparent and to be able to better plan for and anticipate the needs of its citizens, businesses and community organizations. This class will provide the framework for how cities and communities can become smarter and more accessible with technology and more connected.

Short Description:
This book is the result of a co-design project in a class in the Masters of Education program at the University of Calgary. The course, and the resulting book, focus primarily on the safe and ethical use of technology in digital learning environments. The course was organized according to four topics based on Farrow’s (2016) Framework for the Ethics of Open Education.This is the first of 2 Versions of this pressbook. Click on Volume 2 for information.

Long Description:
This book is the result of a co-design project in a class in the Masters of Education program at the University of Calgary. The course, and the resulting book, focus primarily on the safe and ethical use of technology in digital learning environments. The course was organized according to four topics based on Farrow’s (2016) Framework for the Ethics of Open Education. Students were asked to review, analyze, and synthesize each topic from three meta-ethical theoretical positions: deontological, consequentialist, and virtue ethical (Farrow, 2016). The chapters in this open educational resource (OER) were co-designed using a participatory pedagogy with the intention to share and mobilize knowledge with a broader audience. The first three chapters in the book discuss specific ethical considerations related to technologies such as Artificial Intelligence (AI) , social networking services (SNS), and 3D printing. The next four chapters shift to a broader discussion of resource sharing, adaptive learning systems, STEM, and assistive technologies. The final two chapters discuss admissions and communications that need to be considered from an institutional perspective. In each of the nine chapters, the authors discuss the connection to the value of technology in education, and practical possibilities of learning technologies for inclusive, participatory, democratic, and pluralistic educational paradigms.

Word Count: 56853

ISBN: 0-88953-438-1

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)