This resource is an outline of a workshop TTU librarians conducted in April 2024. We used Padlet for discussion and wrap-up of series.Learning Objectives:Grasp the complexities of defining authorship and ownership of AI-created works. Understand the legal status of works created by artificial intelligence and the implications for creators and users. Learn about Creative Commons licenses and other licensing options for AI-generated works.

Resource is the outline and resources/news articles and research used for a workshop on AI ethics and possible uses and misuses of AI in social justice issues at Texas Tech University. This session was held in March 2024. As this topic evolves, so will resources used.Learning Objectives:Learn how to recognize and mitigate biases in AI algorithms and data and to evaluate and ensure fairness in AI systems, including demographic parity and equal opportunity.Understand the ethical issues surrounding data collection, storage, and usage in AI applications.Learn about ethical guidelines for AI creators and users.

This session was developed for the Texas Tech University community of faculty, staff, and all students who were interested in the topic from a critical standpoint. This was part 6 in an 8 part series which is discussion based. As such, this workshop may only touch on certain aspects of this technology that was not covered previously while focusing on visual literacy skills. Special attention was given to the ways in which this technology is being used in facial recognition softwares, and the work of Dr. Joy Buolamwini.Setup Padlet as appropriate using recent news coverage related to academics and social life. Resource is outline of session. Learning Objectives for this session:Participants will learn about strengths and weaknesses of AI tools for generating images, photos and art.Understand issues related to copyright, attribution, and authenticity in AI-generated images and art.Explore how AI-generated art is used in various industries, such as academic research, advertising, entertainment, and design.

This is an outline of the session "AI Literacy at Lunchtime: Research Tools," part of the TTUL's AI Literacy workshop series. This is a discussion based series that allows for critical examination of AI tools, generative tools, and their applications in research.Session is meant to be approximately one hour. Our sessions are conducted in hybrid form (online through Zoom and in-person). These tools can offer ways to simplify workflows, look for connections between papers and researchers, and offer different perspectives that we might not usually see with regards to traditional literature searches of academic databases. Learning Objectives:Differentiate which tools are considered AI tools for literature reviews Evaluate tools such as Research Rabbit, Connected Papers and Rayyan.  Utilize tools like Semantic Scholar  

This is an outline of a session created for the Texas Tech University for the AI Literacy at Lunchtime series, currently running during the spring 2024 semester. This session relies on a powerpoint presentation of Dr. Leo Lo's CLEAR framework and two Padlets:1. for sharing the prompts and generative outputs2. for the discussion questions listed.This session was approximately 1 hour long.This series is discussion based with undergraduates, graduates, faculty and staff participating in the session, but can be adapted.Learning Objectives for this session:Understand the basics of prompt engineering.Create their own prompts for generative AI chatbots like Gemini or ChatGPT.Create their own prompts for AI image generators like Midjourney, DALL-E or HotpotUnderstand the biases inherent in this technology

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.

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

This resource consists of three prompts for students to reflect on their research process at the beginning, the midpoint, and the end of a research assignment. The reflection responses can be used by librarians and instructors to identify where students are struggling in the research process and use that information to improve their teaching. 

Using social media examples, helping students understand how scholarship is not done in isolation but shared and a conversation. This is a lesson plan for a single class session. Included is a Learning Objectives doc for behind the scenes use, Questions Reading Activity for sharing with students, and Assessment for capturing data.

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.