The foundational principles of AI have a history spanning over six decades. Initially introduced by Lotfi Zadeh, the concept proposed a departure from conventional Boolean logic towards a more versatile distribution-based approach for information processing. Zadeh coined the term "fuzzy logic" to describe this unconventional perspective. Consider the classic inquiry, "At what point in eating an apple does it cease being an apple?" This concept embodies the essence of fuzzy logic, describing how to measure the distributional transformation of an object into something different. The early stages of AI encountered limitations in grappling with vast quantities of information and rendering it shareable within the community. However, this landscape has dramatically evolved, especially in the realm of education. Overshadowing well-known grammar tools like Ginger and Grammarly, newer competitors such as ChatGPT are emerging as a way to bypass the creative process and quickly generate output based on information scrapped from the internet. These advanced tools hold the allure of generating original content, offering respite from tedious tasks such as writing. This presentation will place AI and its current impact on education within a historical context, defining what AI is, its potential legitimate uses, and its potential pitfalls and dangers. The presentation discusses best practices for legitimately integrating these emerging tools into education and research while identifying potential dangers to careers and reputations through misuse.

Authors:
James McNally, University of Michigan, United States

About the Presenter(s)
Dr James McNally is a University Associate Professor/Senior Lecturer at University of Michigan in United States

See this presentation on the full schedule – Friday Schedule

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