Welcome to The AI Challenge, a self-paced Design Forward module created to build faculty capacity with generative artificial intelligence (GENAI). In each topic page you will find related resources, questions, and activities.

Since this is a self-paced module, you should proceed in whatever way makes you comfortable. Feel free to take as little or as much time as necessary and focus on whatever components resonate most deeply with you and your own pedagogical value and needs.

We look forward to seeing you around the module!

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.

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.

This is a hyperdoc with links to a variety of videos and resources around the concept of digital citizenship. It includes definitions, how-to videos, and links to resources about how to handle cyberbullying.

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.

Students will learn the potential costs and benefits of social media, digital consumption, and our relationship with technology as a society in the three-week lesson. This inquiry based unit of study will answer the following questions:

Essential Question: How can we use science fiction’s ability to predict the future to help humanity?

Supportive Questions 1: What predictions of future development has science fiction accurately made in the past? This can include technology, privacy, medicine, social justice, political, environmental, education, and economic.

Supportive Question 2: What predictions for future development in contemporary science fiction are positive for the future of humanity? What factors need to begin in your lifetime to make these predictions reality?

Supportive Question 3: What predictions for future development in contemporary science fiction are negative for the future of humanity? What factors need to begin in your lifetime to stop these negative outcomes?

In this enlightening lecture, Dr. Ayana Omilade Flewellen, a distinguished professor at Stanford University, explores the intersections of black feminism, archaeology, and storytelling. She advocates for the centrality of black women's experiences in historical narratives and discusses the multifaceted role of archaeology in public history and cultural preservation. The talk features her work with the Society of Black Archaeologists and Diving With a Purpose, emphasizing the need for diversity in the field and the significance of underwater archaeology in heritage conservation. Dr. Flewellen also presents the Estate Little Princess project in St. Croix, a groundbreaking initiative combining terrestrial and underwater archaeology to uncover and preserve Afro-Crucian history. The lecture is a compelling call to recognize and engage with the rich, often untold, histories that shape our world, making it a valuable resource for students, educators, and anyone interested in the dynamic fields of archaeology and cultural heritage.

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.

Social media and humans exist in a world of mutual influence, and humans play central roles in how this influence is mediated and transferred. Originally created by University of Arizona Information scholar Diana Daly, this 2024 "living book" edition of Humans R Social Media welcomes additional authors and features contributions by students to help readers understand how we as humans shape social media, and how social media shapes our world in turn.

This collection of lessons represent adapted and remixed instructional content for teaching media literacy and specifically civic online reasoning through distance learning. These lessons take students through the steps necessary to source online content, verify evidence presented, and corroborate claims with other sources.

The original lesson plans are the work of Stanford History Education Group, licensed under CC 4.0. Please refer to the full text lesson plans at Stanford History Education Group’s, Civic Online Reasoning Curriculum for specifics regarding background, research findings, and additional curriculum for teaching media literacy in the twenty-first century.

This collection of lessons represent adapted and remixed instructional content for teaching media literacy and specifically civic online reasoning through distance learning. These lessons take students through the steps necessary to source online content, verify evidence presented, and corroborate claims with other sources.

The original lesson plans are the work of Stanford History Education Group, licensed under CC 4.0. Please refer to the full text lesson plans at Stanford History Education Group’s, Civic Online Reasoning Curriculum for specifics regarding background, research findings, and additional curriculum for teaching media literacy in the twenty-first century.

Students will learn the fundamental concepts and terminology of software application development and develop skills in designing and writing simple computer programs. The course provides an overview of the software development process in addition to introducing important programming constructs and methodologies. The course covers such topics as programming language characteristics, integrated development environments, flowcharts, algorithms, variables, operators, conditional statements, looping statements, procedures, error-handling and debugging, object-oriented programming techniques, user interface design, and software modeling.

Students will learn the fundamental concepts and terminology of software application development and develop skills in designing and writing simple computer programs. The course provides an overview of the software development process in addition to introducing important programming constructs and methodologies. The course covers such topics as programming language characteristics, integrated development environments, flowcharts, algorithms, variables, operators, conditional statements, looping statements, procedures, error-handling and debugging, object-oriented programming techniques, user interface design, and software modeling.

Your action plan is an internal planning document for how you will convince key internal and external constituents to support for the work that you are doing. It is intended as a living document that you can revisit as you review the results of your advocacy activities and refine your advocacy strategy. Think of it as a skeleton you can work to fill in.

This unit introduces students to the concept of civil rights litigation. It asks students to consider how the litigation process reflects the fundamental values and principles of American constitutional government. By the end of this unit, students should be prepared to talk about how the civil litigation process reflects these values and principles and to describe civil rights litigation and its current scope.
Lesson 1: What is Litigation?
Lesson 2: What are the Steps of Litigation?
Lesson 3: What is Civil Rights Litigation?

Students will explore social issues that plague our society and the world to find an issue they are passionate about or are interested in learning more about.Through a process of questioning, students will develop research questions that they will seek the answers to by conducting research of a variety of sources both in print and digital.Students will create a blog site to share their research findings and write 8 blog posts, each focusing on answering a different question or aspect of their social issue, using evidence from credible sources. Their blogs will be published and shared with an authentic audience.

This site contains curated resources related to teaching digital literacy and digital fluency.

This activity aims to stimulate discussion on the question of whether computers can exhibit Ňintelligence" or are ever likely to do so in the future. Learners play a game and try to distinguish between a human and a computer by asking questions and analyzing the answers. This game is similar to the Turing Test, founded by British mathematician Alan Turing. Variations, extensions, background information and further reading suggestions are included in the PDF.

The LLM course is divided into three parts:
🧩 LLM Fundamentals covers essential knowledge about mathematics, Python, and neural networks.
🧑‍🔬 The LLM Scientist focuses on building the best possible LLMs using the latest techniques.
👷 The LLM Engineer focuses on creating LLM-based applications and deploying them.