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Image informed by Deakin Library from "Research Data Lifecycle" by LMA Research Data Management Working Group is licensed under CC BY-NC 4.0
Ethics
Checklist for Responsible AI Use
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- Evaluate Suitability - Ensure AI first the task and doesn't reinforce harmful biases
- Get Approval - Check for consent (syllabus, journal submission details, assignment description, company policy) before using AI on projects
- Consider Sustainability - Consider the environmental impact and if AI is the best tool for the task
- Protect Privacy - Use secure tools and avoid sharing sensitive or personal data
- Validate Outputs - Review all AI-generated content before sharing
- Be Transparent - Disclose AI use to teams, instructors, students, and clients
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AI pause flowchart https://library.bu.edu/ld.php?content_id=81961548
Attribution & Citations
Citing Gen AI Content
Lesson plans
- Teacher Server - TeacherServer AI Tools: Home
For those who feel like their prompt engineering skills are limited, TeacherServer provides template prompt options that are powered by an independent AI model. Developed and hosted by USF College of Education faculty member Dr. Zafer Unal, its initial aim was to support K-12 teachers but has expanded to support college faculty as well. - ACRL Framework for Information Literacy Sandbox: https://sandbox.acrl.org/search?search_api_fulltext=artificial+intelligence
- MU AI Cookbook - https://umsystem.pressbooks.pub/aicookbook/
Practical AI strategies for educators, inspired by the University of Florida's work, this toolkit includes AI "recipes" for tasks like crafting learning objectives, generating graphics and developing rubrics, all with a focus on accessibility, collaboration, and ethical use. - Interpreting AI in the News (Aspen Institute): https://www.aspendigital.org/report/ai-media-literacy-lesson-plan/
AI Assignment Library (University of North Dakota): https://commons.und.edu/ai-assignment-library/
Critical Thinking - Prompt Engineering A prompt is the human-created input an AI model uses to generate an output. Integrating prompt engineering techniques when using an AI chatbot tool (such as ChatGPT, Claude, Copilot, Gemeni, etc.) can improve outputs because well-crafted prompts yield more accurate, relevant, and useful AI-generated responses. As a bonus, writing effective prompts requires clarity, specificity, and an understanding of how AI processes language, which strengthens your critical thinking, analytical, and communication skills. It must be stated, however, that the discourse about the effectiveness of prompt engineering, like AI technology itself, is rapidly changing to the point that some question the future usefulness of prompt engineering. When teaching prompt engineering skills, best practices suggest there are a few components to a prompt deemed somewhere between essential (TASK) and important but not mandatory (PERSONA, FORMAT, TONE). Task: What you want the AI chatbot to do Context: Give the chatbot enough information to constratin the endless possible responses) Example(s): Including a relevant example greatly improves the quality of the output. Useful, NOT mandatory:
Another example of a prompt engineering framework often referenced in LIS circles includes the acronym CLEAR (Concise, Logical, Explicit, Adaptive, Reflective), popularized by Lo, L. S. (2023). The CLEAR path: A framework for enhancing information literacy through prompt engineering. The Journal of Academic Librarianship, 49(4). https://doi.org/10.1016/j.acalib.2023.102720 | "Getting Started with prompting" from Writing Prompts, a section of AI in Education by University of Sydney used under a CC-BY-NC license. |
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