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Analyzing the Implications of AI Workshop Kit

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This workshop kit will help your audience analyze how generative AI chatbots might impact their courses. The workshop addresses academic integrity, privacy, attribution, copyright, bias, and so on.

Goal and objectives

This workshop aims for participants to describe and analyze key issues and risks of AI regarding ethics, equity, policy, and so on.  The workshop provides background information and critical perspectives while positing challenging questions and provoking discussion rather than providing clearly defined answers.

After completing this workshop, participants should be able to:

  • Describe campus policy guidance from Stanford's Office of Community Standards regarding student AI use and academic integrity.
  • Describe practices that support privacy and security.
  • Describe practices for using AI chatbots in academic scholarship.
  • Describe AI hallucinations and their causes.
  • Discuss issues around copyright and AI.
  • Discuss how inequity, bias, environmental impact, and misinformation intersect with generative AI technology.
  • Analyze how compatible with AI their existing course is.

Audience

This workshop is intended for staff, instructors, and students who have a basic understanding of how AI technologies work and have some experience using AI chatbots in educational contexts.

Time

This workshop is approximately 90 minutes in length.

Key strategies

This workshop leverages inquiry-based pedagogic strategies to provoke questioning and critical analysis of ethical and social issues related to AI in education. 

Consider the following strategies and perspectives when facilitating this workshop.

  • Acknowledge that there are no right answers and embrace ambiguity and complexity.
  • Establish and foster an atmosphere of trust for participants to discuss the topics.
  • Get comfortable with relevant policy guidance and background information in advance.
  • Use inquiry-based and Socratic methods to encourage questioning and discussion among the participants.

Reading list

Consider these resources as you prepare to lead this workshop.

Slide presentation with speaker notes

Here you can find slide presentations for this workshop in different formats. The PDF version of the slides is useful for skimming and previewing the workshop. View the slide notes for additional context and sample scripts. We then recommend downloading the full PowerPoint presentation to adapt and customize. The full PowerPoint presentation includes speaker notes, sample scripts, and additional optional slides from other AI workshop kits.

Workshop agenda

This suggested agenda proposes a workshop that balances content presentations with learning activities. This agenda is a starting point as you adapt it to fit your audience.

  • Introduction (5 minutes)
    • Lecture and slide presentation - Slides 1 to 5
  • Academic integrity (15 minutes)
    • Lecture and slide presentation - Slides 6 to 13
    • Reflection or small group discussion - Slide 14
  • Data privacy (10 minutes)
    • Lecture and slide presentation - Slides 15 to 18
    • Reflection or small group discussion - Slide 19
  •  Attribution & Copyright (10 minutes)
    • Lecture and slide presentation - Slides 20 to 26
    • Reflection or small group discussion - Slide 27
  • Hallucination, Bias, Inequity, Environmental Impact, and Misinformation (20 minutes)
    • Lecture and slide presentation - Slides 28 to 37
    • Reflection or small group discussion - Slide 38
  • AI Education (15 minutes)
    • Lecture and slide presentation - Slides 39 and 41
    • Self-evaluation of your course's compatibility with AI - Slides 42 and 43
  • Wrap-up (5 minutes)
    • Participants complete a short summative assessment and evaluation survey - Slides 44 to 46

Promotional resources

You can use the following sample language to promote your workshop. This language was created with assistance from ChatGPT. Consider using AI tools yourself to generate other promotional material, such as promotional images, to get more practice using generative AI tools.

Example 1

AI in the Classroom: Unpacking Ethics, Equity, and Integrity

Join us as we critically analyze ethical, equity, and policy-related dimensions of AI technologies in education. This 90-minute workshop is designed for educators with some introductory experience with AI technology. We will delve into critical issues such as academic integrity, privacy, bias, copyright, and other ethical implications of AI in education. Using inquiry-based strategies, we will encourage you to question, discuss, and embrace the multifaceted nature of AI, preparing you to navigate the evolving digital landscape effectively.

Workshop Highlights:

  • Examine policy guidance on AI and academic integrity from Stanford's Office of Community Standards  
  • Explore recommendations from University IT to ensure privacy and security 
  • Examine recommendations for properly citing AI chatbots in scholarship
  • Address the societal impacts of AI, including inequity, bias, environmental concerns, and misinformation. 
Example 2

Navigating the Ethical Landscape of AI in Education

Join our impactful 90-minute workshop designed for educators ready to tackle the ethical challenges of AI in education. From Stanford's academic integrity policies to privacy safeguards and the broader societal implications of AI technology, this session offers a comprehensive overview of the complex landscape of AI in education. This workshop is perfect for those versed in AI basics and seeking to deepen their understanding. Engage in thought-provoking discussions to critically examine AI's role in enhancing education.

Assessment and evaluation survey

This survey serves multiple functions. It gathers demographic information about the workshop participants, evaluates the workshop's effectiveness, prompts metacognitive reflection, and gathers feedback on improving the workshop. The survey was created in Google Forms. Make a copy of the survey to adapt and keep in your Google Drive.

Preview the example survey as a responder.

Create a copy of the example survey (Stanford only). Log in to your Stanford Google account, then use the link to make a copy in your Google Drive to edit and distribute.

Feedback on this workshop kit

Please respond to the poll below to share your feedback on this workshop kit. Your feedback will help us improve this workshop kit and develop resources that support your teaching. Your anonymous responses will be seen only by the Teaching Commons team. Please respond to the prompt, "What feedback do you have for the creators of the Analyzing the Implications of AI workshop kit?"

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Author and attribution

Kenji Ikemoto, an Academic Technology Specialist at the Stanford Center for Teaching and Learning, created this workshop kit in March 2024.  

This workshop kit is licensed under Creative Commons BY-NC-SA 4.0 (attribution, non-commercial, share-alike). You may adapt, remix, or enhance these modules for non-commercial use. Please attribute it to the Stanford Center for Teaching and Learning. We ask that you also share your work under the same licensing terms. 

Contact

If you have questions about this workshop kit contact us at TeachingCommons@stanford.edu

Stanford community members are invited to request a consultation with experts at the Center for Teaching and Learning (CTL).