Real or Rendered: Detecting AI in the Wild

Your Name and Title:

  • Kristina I. Dorsett, Research & Instruction Librarian

 

Library, School, or Organization Name:

  • Wolfgram Memorial Library, Widener University

 

Co-Presenter Name(s):

  • Megan Bennis, User & Access Services Evening Supervisor

 

Area of the World from Which You Will Present:

  • Chester, Pennsylvania, USA

 

Language in Which You Will Present:

  • English

 

Target Audience(s):

  • The target audience for this workshop is anyone interested in identifying the use of AI in everyday situations.

 

Short Session Description (one line):

  • Everyone has been there - you're online and can't be sure if what you're seeing is real or AI generated.  This workshop will give you the tools to identify AI media in real-world scenarios.

 

Full Session Description (as long as you would like):

  • The AI revolution is upon us - but that doesn't mean we have lost the ability to detect if the content we consume is real or rendered.  Popular news media and high-tech marketing machines tout the advancements in AI output, entrepreneurs are profiting from AI content via streaming services and social media, and disinformation agents are pumping out deceptive messages as quickly as possible.  There are methods for detecting AI use that go beyond an awareness of em-dashes or using so-called "AI detection" software.  Using real-world examples to develop AI media literacy skills, this workshop will leave attendees with the tools needed to discern what's real from what is AI generated.  

 

Websites / URLs Associated with Your Session:

  • N/A

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