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Detecting AI-Generated Content - Advances in Generative AI

UofU Data Science via YouTube

Overview

Join a comprehensive seminar exploring the critical field of AI-generated content detection, presented by researcher Nate Stringham. Dive deep into the latest methodologies and techniques used to identify artificially generated text, images, and other media. Learn about current challenges in distinguishing between human-created and AI-generated content, understand the technical approaches being developed to address these challenges, and explore the implications for various industries and applications. Examine real-world examples and case studies that demonstrate both the capabilities and limitations of current detection methods, while gaining insights into the evolving landscape of generative AI technology and its detection mechanisms.

Syllabus

Advances in Generative AI Seminar: Detecting AI-Generated Content

Taught by

UofU Data Science

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