Interdisciplinary

AI Literacy Workshop: Evaluation and Detection Tools

Texas Tech University Library’s AI Literacy workshop series developed weekly for spring 2024. Included here are materials related to part 2. This resource can be used as a general starting point for evaluating generative AI.Additionally, the workshop utilizes Padlet to facilitate discussion for active learning. Sessions can be held online, in-person, or hybrid. These sessions are also for broad appeal, and included faculty, staff, graduate students, and undergraduate students in attendance. The Padlets for this session included an evaluative Jeopardy-like game where participants could rate whether they felt a piece of media (text or image) was AI generated or "real," ie, human-made.Learning objectives for this session included:Utilize AI detection tools for their courses.Understand current Texas Tech policies related to AI use in the classroom and within research.Understand other ways of evaluating AI created materials. This resource drew on different aspects within the ACRL Framework, including Searching as Strategic Exploration.Included in the documentation is an outline with discussion questions. There are no slides for this workshop. 

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Interdisciplinary

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CC Attribution-NoDerivs License CC-BY-ND

AI Literacy Workshop: Overview and Criticial Examination

Texas Tech University Library’s AI Literacy workshop series developed weekly for spring 2024. Included here are materials related to part 1. This resource can be used as a general starting point for introducing and understanding the technology. Additionally, the workshop utilizes Padlet to facilitate discussion for active learning in a hybrid setting. Sessions can be held online, in-person, or hybrid. These sessions are also for broad appeal, and included faculty, staff, graduate students, and undergraduate students in attendance.Learning objectives for this session included:Understand what generative AI is.Understand the background of generative AI in higher education.Understand the biases and other problems inherent in AI systems.This resource drew on many different aspects within the ACRL Framework.Included in the documentation is an outline with discussion questions and slides. 

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Interdisciplinary

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CC Attribution-NonCommercial License CC-BY-NC

Framework Discovery - Discussion Activity

This resource was designed as a jumping-off point for discussions between librarians and peer tutors who work outside of the library, specifically undergraduate subject-specific and writing tutors. Tutors are asked to examine ACRL framework by considering a learning objective and a brief related video. Videos were created by North Kentucky University's Steely Library. 

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Discipline(s): 
Interdisciplinary
License Assigned: 
CC Attribution-ShareAlike License CC-BY-SA

Hidden Layer: Intellectual Privacy and Generative AI

The Hidden Layer Workshop introduces key generative AI (genAI) concepts through a privacy lens. Participants probe the possibilities and limitations of genAI while considering implications for intellectual privacy, intellectual property, data sovereignty, and human agency. An original PROMPT Design Framework and worksheet guide participants through the iterative process of prompting generative AI to optimize output by specifying Persona, Requirements, Organization, Medium, Purpose, and Tone. In the centerpiece activity, participants engage in a hidden layer simulation to develop a conceptual understanding of the algorithms in the neural networks underlying LLMs and their implications for machine bias and AI hallucination. Drawing on Richards’s theory of intellectual privacy (2015) and the movement for data sovereignty, and introducing an original framework for the ethical evaluation of AI, Hidden Layer prepares participants to be critical users of genAI and synthetic media.The workshop is designed for a 60-minute session, but can be extended to fill the time available.Includes workshop guide, presentation slides, learning activities, and assessment instrument.

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License Assigned: 
CC Attribution-NonCommercial-ShareAlike License CC-BY-NC-SA

Vetting ChatGPT sources

Vetting Sources:An exercise that teaches ChatGPT’s limitations. This exercise empowers students to verify the information AI generates, fostering responsible AI use.Ask ChatGPT to generate a list of 4 academic sources on a topic of your choice, and then evaluate the credibility and usability of those sources.Now answer:What is the topic you chose?What 4 citations were generated? (Paste the citations here)THEN complete the following:1. Are the citations actually real? Does such a journal/website/book exist? State which are not real and which are real. State whether any website used in a real citation where you found it is credible and why.2. State where those specific real citations are available full-text (check our library databses too). List the names of the places you found them (for example, name of such-and-such webite, name of database , etc...).3. Check the credentials of the lead author by doing a google search of their name in quotes. Are they trained in the field of the topic? State their credentials and/or academic degrees.4. Now run their name (in quotemarks) in a library database (like ProQuest or Ebscohost), use a drop down to search for AUTHOR - do they appear? IF YES, What are their other article/s (provide the permalink URLs) about?5. Now run a search for your same chosen topic in a library database. What are the top four most relevant (provide the four permalink URLs)? Note if they match any of the original four generated.Bonus 1 point: Talk about paid and unpaid access to this AI tool (look at pricing for different versions on the Chatgpt website) and how YOU think it might affect what you find in any tier of paid/unpaid access. This assignment tracks to the ACRL Information Literacy framework:"Information has Value"

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Discipline(s): 
Interdisciplinary
License Assigned: 
CC Attribution License CC-BY

Harnessing Pandora's Box: At the Intersection of Information Literacy and AI

A group of four librarians from varied disciplinary backgrounds came together to examine issues of artificial intelligence and large language models. We are of the opinion that Pandora's box has been opened. Students will use ChatGPT, so it is important that we engage our students to promote a deeper learning and awareness of this technology and its limitations. As a result, we participated in a semester-long ChatGPT workshop sponsored by our institution's writing center. We explored various aspects of generative pre-trained transformers (GPTs), particularly where it intersects with information literacy, visual literacy, digital literacy, and privacy literacy. We created learning activities closely tied to learning outcomes derived from the Association of College and Research Libraries’ (ACRL) Information Literacy Framework and ACRL's Framework for Visual Literacy in Higher Education. Each centers on a frame and contains an overview of the information or visual literacy issue as it relates to ChatGPT or AI tools. We designed each with customizations appropriate for the different approaches taken in humanities, social sciences, and science courses.
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The Economics of Academic Journals Infographic

A visual representation of the publishing process and how access is provided that includes what free labor is contributed to the process and how publishing companies make astronomical profits from freely given materials

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CC Attribution-NonCommercial-ShareAlike License CC-BY-NC-SA

Data Hunts

Easier access to research data is changing the research landscape. Investigate the data available for your research topic through the library’s catalog and open-access sources. 

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CC Attribution-NonCommercial License CC-BY-NC

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Introduction of Lateral Reading for Media Literacy

This lesson plan introduces students to lateral reading techniques using the SIFT method. Designed and implemented for a political science introduction to international relations course, this can easily be adapted to other media literacy contexts. Students will practice lateral reading with sample news articles. Worksheets, slides, and sample articles are linked in the lesson plan. Alternative news articles can be substituted.

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CC Attribution-NonCommercial-ShareAlike License CC-BY-NC-SA

Private Bits: Privacy, Intimacy, and Consent

This sex-positive privacy literacy workshop engages participants in exploring how sex tech impacts intimate privacy and intimate relationships. Workshop content is contextualized with the theoretical frameworks of artificial intimacies (Brooks) and consentful tech (The Consentful Tech Project) and the concept of intimate privacy (Citron) and presented through a privacy literacy lens. Participants will identify artificial intimacies in order to assess real-world examples and their impact upon intimate privacy; evaluate the privacy of digital bodies under conditions of data promiscuity using a consentful tech framework; and understand intimate privacy and the impact of technology on intimate relationships and wellbeing.The workshop is designed for a 60-minute session, but can be extended to fill the time available.Includes workshop guide, presentation slides, learning activities, inclusive pedagogy tool, and assessment instrument.

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License Assigned: 
CC Attribution-NonCommercial-ShareAlike License CC-BY-NC-SA

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