Using AI
The resources collected here are tailored to help members of the Furman community use AI tools ethically, transparently, and thoughtfully.
AI Literacies and Competencies
This framework outlines how Furman students, faculty, and staff can develop AI literacy by understanding how generative AI works, exploring its applications, and reflecting on its ethical, social, and personal implications. Organized around three core areas—Know and Understand, Explore, Use, and Apply, and Evaluate, Reflect, and Refine—the competencies emphasize informed, values-based engagement with AI aligned with Furman’s liberal arts mission.
View NowIT Recommendations for AI Use
Furman’s Information Technology Services outlines recommendations for using AI tools responsibly in academic, administrative, and research settings, emphasizing the importance of Data Security & Privacy, Ethical Considerations, and Informed Utilization when engaging with generative AI platforms.
Read RecommendationsAI Tools
This page outlines Furman-supported AI tools and emphasizes the importance of data privacy when using them. Faculty, staff, and students are encouraged to log in to Microsoft Copilot with their Furman credentials to ensure enterprise-level protections, and to review guidance on other tools.
View ToolsLibrary AI Guide
This comprehensive Furman University Libraries guide introduces students, faculty, and staff to artificial intelligence, offering curated tools, research databases, ethical guidelines, and campus-specific resources. Key sections include Library AI Resources, AI Tools, Citing AI, Learn More, and AI News.
Access the GuideGAI FAQs
This in-depth FAQ introduces Furman faculty, staff, and students to generative AI tools by explaining how they work, what they can do, and how to use them responsibly and ethically in academic settings. Topics include GAI capabilities and limitations, institutional policy, student use, privacy, detection, and recommendations for teaching, research, and scholarship.
View NowAI Tools Quick Reference
This table provides an overview of the types of AI tools available, with descriptions, examples, and notes for students on features and risks.
View NowAI Features of Campus Technologies
This resource outlines how AI is already integrated into many of Furman’s commonly used technologies, including videoconferencing tools, operating systems, productivity software, and administrative platforms. Featured categories include Videoconferencing/Collaboration, Operating Systems, and Productivity and Creative Applications.
View NowSyllabus Policy Categories for AI Use
The resources collected here are intended to promote equity and transparency by providing shared language for developing AI syllabus policies.
Syllabus Policy Categories for AI Use
The syllabus categories for AI use outlines a flexible framework for Furman faculty to communicate classroom expectations around generative AI, with four categories ranging from full integration to complete prohibition. It includes general usage guidelines and a clear breakdown of expectations for both instructors and students under each category: AI Use: Yes, AI Use: Yes, But…, AI Use: No, But…, and AI Use: No.
View PoliciesSample Syllabus Statements
This resource offers sample syllabus statements aligned with Furman’s four AI use categories, providing faculty with adaptable language for setting course-level expectations around generative AI and academic integrity. Key sections include Sample GAI Syllabus Statements, Additional Considerations, and Providing Guidance for Specific Assignments.
View NowSetting AI Policy for Writing Classes
This guide helps Furman faculty teaching First-Year Writing and Writing & Research courses develop clear, pedagogically grounded AI policies tailored to writing instruction. Faculty will find adaptable policy examples, key principles for transparency, and guidance for aligning AI use with course goals, with sample categories such as AI Policies for FYW Seminars, AI Policies for WR Courses, and Questions to Consider When Setting an AI Policy for a Writing Class.
View PoliciesUnderstanding AI Syllabus Policies: A Student Guide
This guide helps Furman students understand the policies related to AI use and academic integrity that are provided for their different courses at Furman. Students are walked through the basic components of an AI syllabus policy and are encouraged to seek help when unsure about AI use.
Read the GuideTeaching and Learning with AI
The resources collected here provide Furman faculty with the tools they need to navigate teaching and learning about and with AI.
Using AI in Your Teaching
This resource supports Furman faculty in using AI ethically and strategically in their teaching by offering guidance on appropriate and inappropriate uses, suggestions for instructional integration, and examples of how to acknowledge AI-assisted work. Key sections include When is it appropriate to use AI and when is it inappropriate?, How Can AI Be Useful in Teaching?, and How Do I Acknowledge AI Use?
Learn MoreAI Teaching and Professional Development Resource
Compiled by Furman’s Faculty Development Center and Writing Programs, this resource page offers curated tools, research, and strategies to support faculty exploring generative AI in their teaching, writing, and professional practice. Key sections include Basics of Generative AI (GAI), GAI in Teaching, and GAI when Preparing or Teaching a Course.
Learn MoreGenerative AI and the Teaching of Writing
This comprehensive guide helps Furman writing instructors respond to the challenges and opportunities presented by generative AI, offering practical advice for setting AI policies, redesigning assignments, using AI during class, and assessing writing. Key sections include Overview of GAI and GAI-Informed Writing Pedagogy, Adapting Current Writing Assignments, and Assessing Writing in the Age of AI.
Learn MoreFaculty Checklist for Teaching Writing in the Age of AI
This self-assessment tool helps Furman faculty reflect on how generative AI affects their writing instruction, guiding decisions around policy, pedagogy, assignment design, and classroom use. Checklist categories include Understanding AI and Pedagogical Foundations, AI Policy and Transparency, and Assessing Writing and Academic Integrity.
View checklist