Generative AI in Academia: Factual and Ethical Use

Join us for an exciting talk on the usage of generative AI in academia.  This talk aims to achieve three main goals:

  1. Demystify Generative AI – by exploring various non-technical analogies and technical explanations, help the listeners understand that Generative AI such as Large Language Models (LLMs) or Diffusion techniques are not actual intelligence, but rather deep learning algorithms trained on very large datasets which product repeatable patterns which mimic human creations.
  2. Getting Factual Information from Generative AI – Discussing the outputs of these models, their strengths and weaknesses, whether or not the information can be trusted, whether or not the generated text can be legally used or claimed as your own, and who is responsible for any errors created by the AI.
  3. Ethical Implications of Generative AI – What are some of the impacts on these technologies on Academia, other industries, and the environment. As students and academics, should we be dedicating a significant amount of time to learn these technologies effectively? How will the impact of generated content proliferating the internet influence the following generations for AI. And finally, how much of generative AI is groundbreaking new technology and how much is hype used to sell products?

This is intended to be a thought-provoking conversation to cause you to think deeper about the subject rather than providing all of the answers. We will conclude with a brief question and answer period, pizza and pop, and networking.

Date and Time

  • Date: 12 Jun 2024
  • Time: 11:30 AM to 01:00 PM
  • All times are (UTC-06:00) Saskatchewan
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Location

  • University of Regina
  • 3737 Wascana Parkway
  • Regina, Saskatchewan
  • Canada
  • Building: Education Building
  • Room Number: 388

Resources