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AI Webinar for Undergraduate Students - AI and You!: Exploring the Future of Undergraduate Research

Friday, November 7, 2025 / 11:00 a.m. to 12:00 p.m.
Zoom
Add to Calendar 20251107T110000Z 20251107T120000Z America/Chicago AI Webinar for Undergraduate Students - AI and You!: Exploring the Future of Undergraduate Research <p><strong>Generative AI is changing the way we find, evaluate, and create information — but where does it excel, and where does it fall short?</strong> Join our interactive webinar as we explore the capabilities, limitations, and ethical considerations of tools like ChatGPT, Keenious, and other emerging AI research assistants.</p><h3>Facilitators</h3><ul><li>Chris Carmichael, MSLIS</li><li>Ian Hughes, MLIS</li><li>Rose Melonis, MLIS</li><li>Rachel Menzel, MLIS</li></ul><p>Together, we’ll compare AI-powered tools with trusted academic databases, experiment with structured searches, and see firsthand how AI-generated results stack up against traditional scholarly resources. Through live demos and collaborative exercises, you’ll gain practical skills for evaluating and responsibly integrating AI into your academic research.</p><p>Whether you’re curious, skeptical, or somewhere in between, you’ll walk away able to:</p><ul><li>Identify what generative AI can (and can’t) do.</li><li>Recognize appropriate uses of AI tools for research versus traditional databases.</li><li>Explain how large language models differ from traditional research tools.</li><li>Navigate the ethical questions surrounding AI.</li></ul><p>Come ready to learn, question, and experiment — this is AI in action for today's college student!</p> Zoom
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Generative AI is changing the way we find, evaluate, and create information — but where does it excel, and where does it fall short? Join our interactive webinar as we explore the capabilities, limitations, and ethical considerations of tools like ChatGPT, Keenious, and other emerging AI research assistants.

Facilitators

  • Chris Carmichael, MSLIS
  • Ian Hughes, MLIS
  • Rose Melonis, MLIS
  • Rachel Menzel, MLIS

Together, we’ll compare AI-powered tools with trusted academic databases, experiment with structured searches, and see firsthand how AI-generated results stack up against traditional scholarly resources. Through live demos and collaborative exercises, you’ll gain practical skills for evaluating and responsibly integrating AI into your academic research.

Whether you’re curious, skeptical, or somewhere in between, you’ll walk away able to:

  • Identify what generative AI can (and can’t) do.
  • Recognize appropriate uses of AI tools for research versus traditional databases.
  • Explain how large language models differ from traditional research tools.
  • Navigate the ethical questions surrounding AI.

Come ready to learn, question, and experiment — this is AI in action for today's college student!

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