Jessica Kincaid and Jeremiah Colonna-Romano (University of Alabama) present 'Implementing and Assessing AI Tools in Archival Metadata Workflows' during the Short Talk and Demo session at the Fantastic Futures ai4LAM 2023 annual conference. This item belongs to: movies/fantastic-futures-annual-international-conference-2023-ai-for-libraries-archives-and-museums-02.

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A discussion with Taylor & Francis VP External Affairs and Policy, Priya Madina, on AI and academic publishing. This session provided an overview of AI and opportunities and challenges of utilizing AI, illustrated by academic publisher use cases of AI. The presentation was followed by a question and answer period. The speaker was introduced by Erin Fields, Open Education and Scholarly Communications Librarian, UBC.

Peer-reviewed articles in this special issue:

- “Responsible AI Practice in Libraries and Archives: A Review of the Literature” by Sara Mannheimer, Natalie Bond, Scott W. H. Young, Hannah Scates Kettler, Addison Marcus, Sally K. Slipher, Jason A. Clark, Yasmeen Shorish, Doralyn Rossmann, and Bonnie Sheehey. The authors explore the existing literature to identify and summarize trends in how libraries have (or have not) considered AI’s ethical implications.
- “It Takes a Village: A Distributed Training Model for AI-based Chatbots” by Beth Twomey, Annie Johnson, and Colleen Estes, discusses the steps taken at their institution to develop and implement a library chatbot powered by a large language model, as well as lessons learned.
- “‘Gimme Some Truth’ AI Music and Implications for Copyright and Cataloging” by Adam Eric Berkowitz, details modern developments in AI-assisted music creation, and the resultant challenges that these surface regarding copyright and cataloging work.
- “Adapting Machine Translation Engines to the Needs of Cultural Heritage Metadata” by Konstantinos Chatzitheodorou, Eirini Kaldeli, Antoine Isaac, Paolo Scalia, Carmen Grau Lacal, and Mª Ángeles García Escrivá provides an overview of the process used to hone general-use machine translation engines to improve their outputs when translating cultural heritage metadata in the Europeana repository from one language to another.
- “Exploring the Impact of Generative Artificial Intelligence on Higher Education Students' Utilization of Library Resources: A Critical Examination” by Lynsey Meakin applies the Technological Acceptance Model to higher education students’ perceptions and adoption of tools using generative AI models.

Recurring content:
- Public Libraries Leading the Way: “Activating Our Intelligence: A Common-Sense Approach to Artificial Intelligence” by Dorothy Stoltz

- ITAL &: “The Jack in the Black Box: Teaching College Students to Use ChatGPT Critically” by Shu Wan

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.

Jill Reilly (National Archives and Records Administration), Abigail Potter (Library of Congress) and Mike Trizna (Smithsonian Data Science Lab) present 'Leadership and Collaboration to Advance the Responsible Adoption of Artificial Intelligence in Libraries, Archives and Museums' during the AI Use C... This item belongs to: movies/fantastic-futures-annual-international-conference-2023-ai-for-libraries-archives-and-museums-02.

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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.

This Recommendation addresses ethical issues related to the domain of Artificial Intelligence to the extent that they are within UNESCO’s mandate. It approaches AI ethics as a systematic normative reflection, based on a holistic, comprehensive, multicultural and evolving framework of interdependent values, principles and actions that can guide societies in dealing responsibly with the known and unknown impacts of AI technologies on human beings, societies and the environment and ecosystems, and offers them a basis to accept or reject AI technologies. It considers ethics as a dynamic basis for the normative evaluation and guidance of AI technologies, referring to human dignity, well-being and the prevention of harm as a compass and as rooted in the ethics of science and technology.

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.

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.