Artificial Intelligence Resources

Promoting Critical AI Literacy

In this session, we’ll discuss what LLMs (large language models) are, how they are trained, and what they can reveal about the ways we use language, especially in writing. We’ll also overview some AI platforms used in professional contexts (ChatGPT Plus, Perplexity AI, Popai, Rytr AI). We’ll then discuss critical AI literacy: accountability and awareness of the social, linguistic, ethical, environmental, and economic perils and possibilities of generative AI

Crafting Transparent and Learning-Focused Policies for Generative AI

In this session, we will look at syllabus policies for generative AI that are transparent, specific, and clearly tied to the learning goals of the course, whether instructors permit no use, limited use, or liberal use. We will look at samples from various disciplines and institutions, as well as current guidance for documentation and acknowledgement of generative AI in various style guides (MLA, APA, etc.).

Designing Writing Assignments with Generative AI in Mind

In this session, we will look at how principles of TILT (Transparency in Teaching and Learning) as well as the concept of “use-case” can foster student engagement in writing assignments and discourage inappropriate reliance on generative AI. We’ll provide sample assignments for discussion, and time permitting, workshop assignments with participants.

Responding to Suspicious Writing

In this final session, we will explore response strategies when students submit writing that appears to have been generated by AI (against course policies). We will look at the current state of AI detection tools and consider learning-centered responses to student work we find suspicious. 

In this session, we explore findings, claims, and counterclaims related to MIT’s “Brain on LLM” study, and how these findings can help us frame writing assignments more effectively. We’ll consider the multi-layered cognitive tasks underlying writing assignments, the scaffolding needed to accomplish them, and showing students why a large-language model (LLM) is—or is not—an effective tool along the way.

Understanding the New AI Policy and Guidelines: Practical Examples, Strategies, and Insights

In this interactive workshop, faculty will explore the newly adopted guidelines on Artificial Intelligence that affect both faculty and students at UNG. This workshop aims to provide examples, strategies, and insights for responsible integration of AI into our courses, such as creating/implementing effective AI syllabus statements while fostering a positive and innovative approach. Participants will engage in collaborative activities and discussions to share experiences and best practices, supporting a holistic understanding of the guidelines and their implications.

AI Awareness, Critical AI Literacy, and AI Fluency: Foregrounding Agency

In this session, we will look at three frameworks for addressing generative AI in classroom spaces: awareness, critical literacy, and fluency. These frameworks reject binaries such as boomer/doomer or embrace/resist when it comes to generative AI. We will highlight the questions and assumptions underlying each approach and introduce resources and writers who have adopted them. Finally, we’ll examine how each approach supports both teachers and students as agents whose scholarly labor should be valued. 

Thursday, March 5, 2026 12:30 - 1:30 p.m.

Fact vs. Fiction: Dispelling the Most Common Myths About AI in Higher Education

This session will unravel common misconceptions surrounding Artificial Intelligence (AI) in academia. Topics will include AI's role in the higher ed workplace, its impact on student learning, and its ethical implications. Equipped with real-world examples, participants will gain a clearer understanding of how AI can enhance educational experiences, promote innovation, and foster student success.

Thursday, April 2, 2026 12:30 - 1:30 p.m.

Student Writing: A Universal—but Often Overlooked—Concern

In this roundtable, members of the English Department’s Writing Across the Curriculum (WAC) committee invite faculty from all disciplines to discuss writing-related challenges they have seen in their classrooms—from documentation and grammar to style and AI misuse—along with ways to support student writing beyond composition courses and strategies for writing assessment.

Friday, April 24, 2026
Noon - 1 p.m.

The Mirage of AI Ethical Use

Since the release of ChatGPT in 2022, the idea of "AI ethical use" has been employed to sensibilize students to various problems tied to AI in academia. The goal is to inform them and acquaint them with responsible AI use. This presentation shows that the idea of “AI ethical use” is a mirage and the question of using AI responsibly is nonsensical. The goal of this presentation is to broaden our collective understanding of issues tied to AI, to move the needle from AI as an individual and individualistic tool, and to reconnect discussions about AI to the democratic goals of higher education. 

Exploring the AI Assessment Score (AIAS)

A flexible framework for incorporating AI technologies into educational assessment. Designed to support educators in selecting the appropriate level of AI use by students.

Thursday, April 30, 2026
12:30 – 1:30 p.m.