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Human and AI Interaction: A Collaboration
We should consider the ways in which humans and AI interact, focusing on the ethical, logical, and emotional aspects of these interactions. As artificial intelligence becomes more integrated into various aspects of our lives, it is crucial to examine how these interactions shape our experiences, particularly in educational settings. To understand the practical implications, we provide examples from two faculty members on campus who have integrated AI into their course activities and pose some questions. Faculty experiences offer valuable insights into the challenges and opportunities presented by AI in educational settings.
Stephanie Ceman, a Professor of Cell & Developmental Biology, implemented an assignment in the field of Microbiology during Fall 2023 and is continuing this semester. The assignment asks students to prepare a short essay pitching an idea that explores a topic learned in class. Students may choose to use text-to-text generative AI to create the document and then use the tools learned in class to evaluate the AI-generated document. Reflection questions include: Do you believe using AI tools has helped in developing any skills? If so, which skills?
In general, we are still learning how interactions with AI will unfold and, as a result, developing best practices. One hypothesis is that when we don’t understand how an AI tool works, we ascribe different powers or values to it. Another aspect is learning about the capabilities and limitations of the main AI tools available, what the shortfalls are, and how this knowledge can help us gain confidence and use it to enhance the diversity of course activities by implementing AI.
Somi Lee, a Teaching Assistant Professor in the School of Art and Design, brought her Art Education students to the CITL Innovation Studio to attend a workshop on Generative AI tools for different tasks, such as analyzing websites, posing questions to a chatbot regarding a scholarly article, and text and image generation. One of the questions posed to the students was: What does creativity mean in the context of AI? Can AI truly be creative, or is it merely replicating human patterns of thought and artistic expression?
The answers vary as they relate to the students' perception and intention with the use of an AI tool, such as text-to-text models like ChatGPT, Perplexity, and Copilot, and text-to-image models like Adobe Firefly and Midjourney.
Best practices include understanding the limitations of various AI tools, none of which may be as good as what an informed human can provide, especially an expert in a field of study. However, as we continue to navigate this complex terrain, it's essential to foster a deeper understanding of AI's capabilities and limitations to enhance its role as a collaborator in the learning process.
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