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

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. 

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. 

An infographic guide on strategies and resources for comprehensive market analysis and planning for local businesses. It was used to support experiential learning marketing research classes, which student groups work with individual small business clients. It can be used together with the self-directed exercise worksheet.

This guide can be used together with the Strategy for Business Consulting with Market Research. It guides students to go through several library databases to find consumer reports, market research handbook, industry reports, customer profiles, and competitor profiles with heatmap visualizations.

It can be used together with the Strategy for Researching a Public Company. The worksheet takes students to explore several library databases to find company profiles, swot analysis, industry reports and articles.