AI Generated Media

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Abstract

This project investigates whether AI-generated media can be reliably distinguished from human-generated media through blind evaluation protocols, examining implications for media authenticity and AI content generation.

Description

As AI systems become increasingly capable of generating realistic media content, understanding the detectability of such content becomes crucial. This project employs rigorous experimental protocols to assess human ability to distinguish between AI-generated and human-generated media.

Research Question

AI-generated media is indistinguishable from human-generated media under controlled experimental conditions.

Approach

Through blind evaluation protocols, we investigate whether human evaluators can reliably distinguish between AI-generated and human-generated media, examining the implications for media authenticity and the validity of using AI systems in content generation tasks.

Additional Details

Our experimental design involves presenting human evaluators with a mix of AI-generated and human-generated media samples across various formats. We measure detection accuracy, confidence levels, and the factors that influence successful identification. The results inform both the development of detection tools and the ethical use of AI in media generation.