AI Taskforce: AI Literacy

Covers Ai basics, AI Literacy, AI & the community, Into to AI, How AI affects You, AI Basics glossary and videos

Academic librarians are helping both students and instructors navigate the rapidly evolving field of artificial intelligence

The paper presents four pillars of AI literacy: understanding the scope and technical dimensions of AI, learning how to interact with Gen-AI in an informed and responsible way, the socio-technical issues of ethical and responsible AI, and the social and future implications of AI. While it is important to include all learning outcomes for AI education in a Computer Science major, the learning outcomes can be adjusted for other learning contexts, including, non-CS majors, high school summer camps, the adult workforce, and the public. This paper advocates for a shift in AI literacy education to offer a more interdisciplinary socio-technical approach as a pathway to broaden participation in AI.

This guide is created specifically for instructors

This collection of quick lessons (20 minutes or less!) provide an introduction to AI and help address its social and ethical impacts. Through these lessons, students will:
Understand what AI is and how it works
Consider some of its potential benefits and risks
Think critically about how we can be responsible and ethical users of AI

This report aims to provide a pulse on the current trends, concerns, and opportunities within the library community, with a particular focus on technological change, including AI.

This position paper describes one possible path to address potential gaps in AI education and integrate AI across the curriculum at a traditional research university. The University of Florida (UF) is infusing AI across the curriculum and developing opportunities for student engagement within identified areas of AI literacy regardless of student discipline. The AI Across the Curriculum initiative being developed at UF will make AI education a cornerstone opportunity for all students.

The present discussion examines the transformative impact of Artificial Intelligence (AI) in educational settings, focusing on the necessity for AI literacy, prompt engineering proficiency, and enhanced critical thinking skills.This is discussed through a case-study based on a Swiss university and a narrative literature review, followed by practical suggestions of how to implement AI in the classroom.

The study proposes a framework defining core components of AI literacy tailored for libraries. The results offer insights to guide professional development and policy formulation as libraries increasingly integrate AI into their services and operations.

This study initiates a pathway to lower the barrier to entry for AI literacy and addresses a public need. It can guide and inspire future empirical and design research on fostering AI literacy among educated citizens of diverse backgrounds.

Academic and technologies teams at Barnard College developed an AI literacy framework to provide a conceptual foundation for AI education and programming efforts in higher education institutional contexts.

A compiled collection of LibGuides focusing on AI and ChatGPT

According to a report released by the data company Clarivate, 7 percent of academic libraries are currently implementing AI tools, while nearly half expect to implement them over the next year. That outpaces plans for enhancing other library technology tools

According to a news post on the Carnegie Mellon University Library’s website, “the goal of the event was to gather academic librarians, staff, and other interested parties to develop open educational materials on the emerging principles of AI literacy.”

To assist marginalized communities in the quest to keep up with the everchanging digital landscape, AIandYou has compiled a library of resources to help!

The case study offers insights and strategies for other academic libraries seeking to develop AI reskilling initiatives, emphasizing the importance of fostering a supportive learning environment, addressing technical and ethical challenges, and ensuring the long-term sustainability of such programs. Participants reported significant improvements in AI literacy and confidence in applying AI tools to their work.The GPT-4 Exploration Program serves as a blueprint for integrating AI into library services and operations.

Guidance for students using and acknowledging AI

This paper examines the transformative role of Large Language Models (LLMs) in education and their potential as learning tools, despite their inherent risks and limitations. The authors propose seven approaches for utilizing AI in classrooms: AI-tutor, AI-coach, AI-mentor, AI-teammate, AI-tool, AI-simulator, and AI-student, each with distinct pedagogical benefits and risks. Prompts are included for each of these approaches.

Notes three critical things we should realize about prompting

This paper explores how instructors can leverage generative AI to create personalized learning experiences for students that transform teaching and learning. We present a range of AI-based exercises that enable novel forms of practice and application including simulations, mentoring, coaching, and co-creation. For each type of exercise, we provide prompts that instructors can customize, along with guidance on classroom implementation, assessment, and risks to consider. We also provide blueprints, prompts that help instructors create their own original prompts.

Instructor Aids: For use in classrooms to help instructors with preparation and teaching.
Student Exercises: Prompts that can be used as part of student exercises.
Other Prompts: Prompts for other uses besides classrooms
Credit to the creators (Ethan Mollick and Lilach Mollick)

As artificial intelligence (AI) continues to gain popularity, it is essential for members of our campus community to develop skills in prompt literacy. To effectively utilize AI models, you should understand the capabilities and limitations of these models, and be able to write specific and detailed prompts. By building and refining these skills, you can effectively integrate AI into your work and education while mitigating many problems and frustrations that may arise.

Explore prompt ideas for the Gemini API in Google AI Studio. Code examples and more on the Gemini API cookbook.

This post presents a “prompt book” for generative AI use that has been written to model critical applications that engage the user in learning, as an alternative to the oft-discussed scenario of the past year, which usually consists of assignments submitted for passing grades with no learning having been achieved.
In service of exploration, instructors can copy and paste these sample prompts to begin considering use cases beyond essay completion.

Creating prompts for discussions and assignments can be challenging, time-consuming, and require flexibility. AI can generate a list of diverse and personalized prompts connected to your objectives that help meet student’s’ unique learning needs.

AI is rapidly becoming a routine part of many of our professional and personal lives. But have you ever been unhappy with the results that AI generated for you? Do you wonder if you’re getting the most out of AI? This article provides an introduction to crafting effective prompts so that you maximize your benefits from AI.

Prompts are what you type into an AI tool to get specific results. A prompt can be as simple as a single question or as complex as multiple paragraphs. Your AI interactions and the quality of the information it returns depends a lot on how you word your prompts.

A collection of prompt resources and a Teaching and Learning Prompt Library.

Developing skill with generative AI tools requires mastering creating effective prompts that produce the most useful outputs for completing a task or information search and then critically evaluating those prompts for accuracy, bias and misrepresentations.

These Reusable Templates Will Remember How You Like to Draft Lesson Plans, Write Quizzes, and More