How Do I Cite Generative AI?

• Generative Artificial Intelligence in Teaching and Learning at McMaster University - 2023
  • A guidebook for educators on the capabilities, limitations and possibilities of generative AI in teaching and learning with a focus on assessment at McMaster University. 
     
• The Curious Educator’s Guide to AI- 2024
  • A guidebook offering strategies and exercises for meaningful use of generative artificial intelligence in higher education, with a focus on teaching and learning.
     
• Generative Artificial Intelligence in Teaching and Learning
  • Website includes resources for the McMaster Teaching and Learning community
     
• Introduction to Generative AI for Educators
  • Online, asynchronous module that helps provide an understanding of generative AI and how these technologies intersect with teaching practices.
     

• Scite.ai - Access available through the McMaster Library databases list. Scite is a tool which offers a quantitative and qualitative insight into how scientific publications cite each other. Scite uses access to full-text articles and its deep learning model to tell you, for a given publication:
  • how many times it was cited by others
  • how it was cited by others by displaying the text where the citation happened from each citing paper
  • whether each citation offers supporting or contrasting evidence of the cited claims in the publication of interest, or simply mention it.

•  Career Essentials in Generative AI by Microsoft and LinkedIn (videos, 2023) via LinkedIn Learning
  Discover the skills needed to apply generative AI in your career. Learn the core concepts of artificial intelligence and generative AI functionality.
  NOTE: This learning path is eligible for a Professional Certificate from Microsoft.
   
• AI Machine Learning Mapping (PDF, July 2023) in LinkedIn Learning
  A curated guide to Artificial Intelligence (AI) Courses, Learning Paths, and Cert Prep (Beginner to Advanced Courses) in LinkedIn Learning

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• Analysis: ChatGPT: Student insights are necessary to help universities plan for the future (March 28, 2023)
  In response to the rise of AI technologies like OpenAI's ChatGPT, Alpha Abebe, an assistant professor of Communication Studies and Media Arts at McMaster University, and Fenella Amarasinghe, a PhD candidate at York University, stress the need for student inclusion in education decision-making processes. They advocate for understanding student motivations for using such tools, ensuring equitable access, and encouraging student-led research to shape the future of education.
   

• ‘It has become necessary to have conversations about AI’s role within the academic setting’ (July 7, 2023)
  Simon Buckingham Shum, a professor of Learning Informatics from the University of Technology Sydney, emphasized the necessity of embracing generative AI in education during the keynote address at the 2023 Educational Innovation Symposium. Reflecting on his speech, educators and students from McMaster University acknowledged the transformative potential of AI, the importance of regulating its use, and the need to prepare students for AI integration in the workforce, while maintaining academic integrity and promoting ethical engagement.
   

Integrating Artificial Intelligence in Business Education (2024) by DeGroote Teaching and Learning Services Team; Jammal Dell; Irina Ghilic, Ph.D.; and Amy Pachai, Ph.D.
This interactive, open access e-book serves as a guide for business educators, staff, and students, emphasizing the transformative role of Artificial Intelligence (AI) in business education. It includes foundational knowledge about AI, practical applications in course design and delivery, strategies for ensuring diversity, equity, and inclusivity in AI use, and guidance for creating business cases that mirror real-world challenges.

• Digital Capability Learning Hub (Human Resources Services)
  Site offers curated learning paths with expert insights and up-to-date resources to help you navigate and excel in the digital landscape. One learning pathway focuses on Generative AI which covers a number of AI tools like CoPilot and also includes a prompt library which may enhance your use of these tools.

•  Wharton Interactive Crash Course: Practical AI for Instructors and Students
  A five-part video series by Wharton Interactive's Faculty Director Ethan Mollick and Director of Pedagogy Lilach Mollick. Covers the basic concepts of using generative AI to enhance learning, and the potential risks involved. Any prompts discussed are included in the notes of each video.
  •  Part 1: Introduction to AI for Teachers and Students (10:17) - posted July 31, 2023
  •  Part 2: Large Language Models (LLMs) (12:40) - posted August 1, 2023
  •  Part 3: Prompting AI (11:42) - posted August 2, 2023
  •  Part 4: AI for Teachers (12:37) - posted August 3, 2023
  •  Part 5: AI for Students (9:40) - posted August 4, 2023

• ChatGPT FAQ (Google Docs, last updated September 14, 2023) by Nicole Hennig, eLearning Developer, University of Arizona Libraries 
   
• Generative AI Tutorials (2024) by University of Arizona Libraries
  Includes tutorials on the following topics: The technology behind ChatGPT (10 min) | How does ChatGPT aim to prevent harmful use? (10 min) |  What is generative AI? (10 min) | Using ChatGPT effectively (10 min) | Creating multimedia with AI tools (20 min)
   
• How to Write Better ChatGPT Prompts for the Best Generative AI Results (April 25, 2024) by David Gewirtz, Senior Contributing Editor ZDNET
   
• Your Guide to Communicating with Artificial Intelligence (Learn Prompting)
  Learn how to use ChatGPT and other AI tools to accomplish your goals using this free and open source curriculum, designed for all skill levels.
   
• Generative AI in Higher Education: The Product Landscape (March 7, 2024) by Claire Baytas, Dylan Ruediger, ITHAKA S+R
  This issue brief also includes a Generative AI Product Tracker that lists generative AI tools geared towards faculty and students for teaching, learning or research activities. Identifies tools for General Purpose, Discovery, Teaching and Learning, Workflow, Writing, Coding, Image Generation and others. For each tool, the purchase model, a description, key features, pros, limitations and comments are included. 
   
• Moxie (formerly Academic Insight Lab)
  Includes several blog posts and videos that provide practical tips and guidance on using artificial intelligence tools (e.g., ChatGPT, Elicit, scite) for academic research and writing (e.g., citing, acknowledging, literature reviews, research proposals, abstracts, dissertations/theses and more).
   
• Use of Generative Artificial Intelligence in the Development and Review of Research Proposals (November 2024) by The Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC), the Social Sciences and Humanities Research Council of Canada (SSHRC), and the Canada Foundation for Innovation (CFI) 
  This guide for Canadian postsecondary institutions and researchers focuses on the use of generative AI, outlining four key properties, relevant federal funding policies, the responsibility of applicants for their grant applications, and the prohibition of reviewers using public generative AI tools for evaluations.
   
• Authorship and AI Tools - COPE (Committee on Publication Ethics) Position Statement. COPE joins organisations, such as WAME and the JAMA Network among others, to state that AI tools cannot be listed as an author of a paper.