The onset of new, more accessible, artificial intelligence (AI) technologies marks a significant turning point for libraries, ushering in a period rich with both unparalleled opportunities and complex challenges. In this era of swift technological transformation, libraries stand at a critical intersection. To effectively chart this transition, two quick polls were conducted among members of the Association of Research Libraries (ARL).

The first poll, which ran in April 2023, provided an initial snapshot of the AI landscape in libraries. The second poll, carried out in December 2023, continued this inquiry, offering a comparative perspective on the evolving dynamics of AI use and possibilities in library services. This study analyzes and juxtaposes the outcomes of these two surveys to better understand how library leaders are managing the complexities of integrating AI into their operations and services. It specifically seeks to capture changing perspectives on the potential impact of AI, assess the extent of AI exploration and implementation within libraries, and identify AI applications relevant to the current library environment.

The insights derived from this comparative analysis shed light on the role of libraries in an increasingly AI-driven era, providing strategic directions and highlighting practices in research libraries.

UNESCO has published the Beijing Consensus on Artificial Intelligence (AI) and Education, the first ever document to offer guidance and recommendations on how best to harness AI technologies for achieving the Education 2030 Agenda. It was adopted during the International Conference on Artificial Intelligence and Education, held in Beijing from 16 – 18 May 2019, by over 50 government ministers, international representatives from over 105 Member States and almost 100 representatives from UN agencies, academic institutions, civil society and the private sector.

This talk explores the intersection of generative AI and Open Educational Resources (OER), examining both the exciting opportunities and the inherent challenges. Generative AI offers the potential to revolutionize OER creation, adaptation, and delivery. It can assist with drafting, translation, improved accessibility, and can facilitate personalized learning experiences. However, critical issues such as access disparities, content quality concerns, amplified biases, copyright complexities, and data privacy must also be addressed. The talk calls for responsible and transparent use of AI, encouraging educators to experiment, stay informed, and prioritize an ethical approach in deploying AI tools to enhance open education.

(note: the above description was generated by pasting the video's automatically-generated captions into Google's chatbot Gemini using the Advanced model on 4/26/2024)

Presented by D’Arcy Hutchings, Instructional Design and Open Education Librarian, University of Alaska Anchorage

This Open Educational Resource (OER) was produced for educators who wish to find positive and productive ways to incorporate generative artificial intelligence (AI) tools into their work. This includes:

- using AI tools to develop courses, lesson plans, activities, assessments, and rubrics;
- leveraging AI tools to enhance existing in-class activities and assignments;
- teaching students how to engage with AI effectively, ethically, and responsibly;
- utilizing AI tools to efficiently complete administrative tasks.

This resource is focused on how AI tools can be used in polytechnic education. However, much of the content will also be relevant to educators in other educational contexts, like university or high school. The term ‘instructional staff’ is used widely in this resource and is meant to include instructors, professors, lecturers, teachers, educational assistants, and tutors.

With the release of ChatGPT in November 2022, the field of higher education rapidly became aware that generative AI can complete or assist in many of the kinds of tasks traditionally used for assessment. This has come as a shock, on the heels of the shock of the pandemic. How should assessment practices change? Should we teach about generative AI or use it pedagogically? If so, how? Here, we propose that a set of open educational practices, inspired by both the Open Educational Resources (OER) movement and digital collaboration practices popularized in the pandemic, can help educators cope and perhaps thrive in an era of rapidly evolving AI. These practices include turning toward online communities that cross institutional and disciplinary boundaries. Social media, listservs, groups, and public annotation can be spaces for educators to share early, rough ideas and practices and reflect on these as we explore emergent responses to AI. These communities can facilitate crowdsourced curation of articles and learning materials. Licensing such resources for reuse and adaptation allows us to build on what others have done and update resources. Collaborating with students allows emergent, student-centered, and student-guided approaches as we learn together about AI and contribute to societal discussions about its future. We suggest approaching all these modes of response to AI as provisional and subject to reflection and revision with respect to core values and educational philosophies. In this way, we can be quicker and more agile even as the technology continues to change.

We give examples of these practices from the Spring of 2023 and call for recognition of their value and for material support for them going forward. These open practices can help us collaborate across institutions, countries, and established power dynamics to enable a richer, more justly distributed emerging response to AI.

Artificial Intelligence (AI) is emerging rapidly across industries—including K–12 education. To support
educators and education leaders in equitable and inclusive uses of AI in classrooms across Washington, the Office of Superintendent of Public Instruction (OSPI) presents this initial guidance, which emphasizes a human-centered approach to using this ever-evolving tool.

OSPI’s guidance on integrating AI into Washington classrooms is designed to be used by stakeholders across public education. The document covers definitions, principles and values, guidance, policy, academic integrity and AI assistance, and professional development.
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A brief five-module course designed as a non-credit-bearing introduction to AI tools for high school and college students. Adapted from a similar course by Rush University and shared under the CC BY NC SA 4.0 International License.

Andrew Marcinek is an innovative K-12 leader, author, and national speaker. His work is focused on the intersection of instructional design and Technology.  This article, published in Medium in March 2024, discusses best practices for K-12 Technology Directors when leading an Artificial Intelligence implementation for their district.

On the eve of the CC Global Summit, members of the CC global community and Creative Commons held a one-day workshop to discuss issues related to AI, creators, and the commons. The community attending the Summit has a long history of hosting these intimate discussions before the Summit begins on critical and timely issues.

Emerging from that deep discussion and in subsequent conversation during the three days of the Summit, this group identified a set of common issues and values, which are captured in the statement below. These ideas are shared here for further community discussion and to help CC and the global community navigate uncharted waters in the face of generative AI and its impact on the commons.

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.  In this webinar,  Jeff Goumas and Rachel Riggs share their insights.

The Artificial Intelligence (AI) for K-12 initiative (AI4K12) is jointly sponsored by AAAI and CSTA.The initiative is developing (1) national guidelines for AI education for K-12, (2) an online, curated resource Directory to facilitate AI instruction, and (3) a community of practitioners, researchers, resource and tool developers focused on the AI for K-12 audience. 

In CampGPT, educators experimented with generative AI-enabled tools like chatbots and image generators to learn and explore together. Their work and insights have been compiled in the Open Prompt Book from CampGPT. Throughout this prompt book, you’ll learn more about generative AI, what educators use it for, and key tips and tricks. The “Try It Out” links enable you to try the prompts in your own account (links for ChatGPT and Bard are provided). This means that, if you like an idea, you can start with the prompt in the book and then continue interacting with a chatbot to further adapt the output to your needs. In addition to the open prompts, we’ve included quotes from the educators from whom the ideas and prompts in this book were crowdsourced.

In CampGPT, educators experimented with generative AI-enabled tools like chatbots and image generators to learn and explore together. Their work and insights have been compiled in the Open Prompt Book from CampGPT. Throughout this prompt book, you’ll learn more about generative AI, what educators use it for, and key tips and tricks. The “Try It Out” links enable you to try the prompts in your own account (links for ChatGPT and Bard are provided). This means that, if you like an idea, you can start with the prompt in the book and then continue interacting with a chatbot to further adapt the output to your needs. In addition to the open prompts, we’ve included quotes from the educators from whom the ideas and prompts in this book were crowdsourced.

The People's Guide to Artificial Intelligence is an educational and speculative approach to understanding artificial intelligence (AI) and its growing impact on society. The 78-page booklet explores the forms AI takes today and the role AI-based technologies can play in fostering equitable futures. The project resists narratives of dystopian futures by using popular education, design, and storytelling to lay the groundwork for creative imaginings.

Host Brenna Clarke Gray (Thompson Rivers University) and guest Autumm Caines (University of Michigan - Dearborn) explore the pedagogical implications of generative AI in this conversation in honour of Open Education Week. They ask such questions as:
- What happens when we leap into new technologies without first pausing to imagine harms, such as surveillance, bias, and discrimination?
- Can recentering the core values of the open education movement—equity, inclusion, transparency, and social justice—in our pedagogy help us move forward in a good way?
- How do we introduce these considerations to our students and empower them to make informed decisions with new technologies?

With over 305,000 open educational resources cataloged on OER Commons since 2007, ISKME works to make learning and knowledge sharing more participatory, equitable, and open, in pursuit of a more just society.

Those resources don’t describe themselves, though. The metadata of every resource in OER Commons was put together by someone before it got added to our collection, and then a librarian at ISKME reviewed it for quality – and that’s a lot of work, both in and out of house!

How much work? Well, if a librarian were to spend just five minutes on each record that ever found its way into our collection, that would take 25,433 hours. That’s enough time to…

- do 123 round trips to the moon (time to finally take that leave you’ve been saving)

- get 3,178 full nights of sleep (unless you’re a cat, then it’s only 1,413)

- walk 8 times from Cape Town to Copenhagen (we’re gonna need a bigger passport)

- work full-time for over 13 years (don’t worry, that excludes 4 weeks vacation)

All of that to say, metadata takes time.

It can be a challenge to balance metadata creation with other tasks like maintaining existing records, curation work, and supporting educational partners with curation. As such, we’re always on the lookout for tools and techniques that boost our capacity without compromising quality.

In 2023 and 2024, we’re testing out how generative AI tools like large language models can support our work in the OER landscape. This poster highlights some of the places where we’ve had successes, along with possible future applications that we think are both useful and doable.

As emerging technologies in artificial intelligence continue to evolve, their influence in educational settings is becoming increasingly significant. “The presence of AI systems and chatbots in education needs to be considered as an opportunity of development rather than a threat.” (Kooli, 2023). The primary objective of this guide is to assist you in navigating this new landscape. This guide will equip you to make informed decisions on how to proactively design and adapt your college courses for the age of AI.

The 2023 State EdTech Trends survey and report tracks how state education agencies and policymakers are adapting to a digital world post-pandemic while also identifying state priorities relating to technology and education.Conducted in collaboration with Whiteboard Advisors, the report includes responses from SETDA members, state superintendents, and other senior state officials from 45 states, the District of Columbia, the Department of Defense Education Activity (DoDEA), and Guam.The report complements the survey data with state spotlights that showcase the work states are leading to support cybersecurity efforts, the effective and equitable use of edtech tools, and the development of policy to guide the use of AI in K-12 classrooms.

Several State Departments of Education have published guides for understanding issues around AI in education, including privacy, security, transparency, accessibility, and keeping humans at the center of learning. These and related resources are being curated on the #GoOpen Hub and are freely available and openly licensed.

Several State Departments of Education have published guides for understanding issues around AI in education, including privacy, security, transparency, accessibility, and keeping humans at the center of learning. These and related resources are being curated on the #GoOpen Hub and are freely available and openly licensed.