R4 Connections: Introduction to Generative AI Tools
Class Experience Level

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In the rapidly evolving landscape of digital technology, generative artificial intelligence (AI) has emerged as a transformative force, offering groundbreaking tools such as ChatGPT, Bard, Midjourney, and Stable Diffusion. And although the core principles underlying these AI technologies are not entirely new, the enhanced accessibility of these tools is enabling a broader audience to leverage AI's potential, including in the biomedical field. This presentation therefore aims to provide a foundational understanding of how generative AI can be utilized, while simultaneously addressing potential risks and ethical concerns, so that individuals and organizations can make more informed decisions around their implementation.

Speaker Bio:
Chris Guerra is the State Data Coordinator and Project Specialist for the Arizona State Library, Archives, and Public Records. His work deals primarily with library-related statistics and technology education. As an avid gaming enthusiast and self-proclaimed "geek," he spends a lot of time online and would likely be the first to fall in an apocalypse due to lack of Internet access.

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1. Attendees will gain a foundational understanding of what generative AI is, including the principles behind tools like ChatGPT, Bard, Midjourney, and Stable Diffusion. 

2. Attendees will learn about the specific capabilities and functionalities of leading generative AI tools and how they are transforming digital interactions. 

3. Attendees will be equipped with knowledge about the ethical considerations, potential pitfalls, and concerns associated with the deployment of generative AI tools.

Class Recording

Class Details

Date(s): March 21, 2024
Time: 3:00 PM - 4:00 PM EDT
Platform: Zoom
CE Credits: 1.00
CE Categories: MLA
Class Experience Level: Beginner
This class is sponsored by Region 4.
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Class Contacts

Host/Instructor: Lauren Wittek
Technical Assistance: Samantha Nunn

Can't join us live?

Register anyway and you'll receive the recording after the event.