Teaching Aids
Explore ready-to-use PowerPoint teaching aids designed for faculty introducing students to the intersections of artificial intelligence and their academic work. These slides support lessons on AI and copyright, ethics, creativity, authorship, culture, and more —helping instructors quickly integrate timely AI topics into classrooms with clear, adaptable materials.
- AI for Disciplines
Discover which AI tools best support different academic disciplines. This PowerPoint guides faculty and students in selecting appropriate AI technologies for research, writing, analysis, and learning across fields.
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- AI & Citation
Learn how to cite AI responsibly in academic work. This PowerPoint explains when and how to cite AI tools, offering clear examples and guidance for maintaining transparency and academic integrity.
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- AI & Copyright
Artificial intelligence is rapidly transforming how music, literature, and visual art are created, shared, and consumed. This presentation explores how these innovations challenge traditional copyright frameworks across creative industries. We’ll examine key tensions, legal questions, and emerging approaches shaping the future of ownership and creativity.
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- AI & the Humanities
Explore how AI intersects with the humanities. This PowerPoint highlights impacts on interpretation, creativity, authorship, and cultural analysis, helping students understand how emerging technologies reshape humanistic study and scholarship.
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- Ethics, Plagiarism & Citation
Examine how AI reshapes questions of ethics and plagiarism in academic work. This PowerPoint explores responsible AI use, attribution, originality, and the evolving standards of academic integrity.
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- How AI is Trained (slide deck)
Learn how AI systems are trained. This PowerPoint explains key concepts like data, algorithms, and machine learning, helping students understand how AI learns patterns and produces responses.
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- How AI is Trained (slide deck companion)
This companion to the “How AI is Trained” Slide deck will provide an in-depth look at the training process.
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- Workbook: Prompting Success with Generative AI in Teaching & Student Research
A collaborative creation from Drs. Renée Jordan (Morehouse College), Celeste N. Lee (Spelman College), Natasha K. McClendon (Spelman College), Ryan Cales (University of Richmond) & Andrew Bell (University of Richmond), this workshop will empower faculty with the skills, strategies, and confidence to use generative AI as a powerful tool for student success.
View Workbook: Prompting Success with Generative AI in Teaching & Student Research
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