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AI on Trial: Decoding the Autophagy Disorder

AI on Trial: Decoding the Autophagy Disorder

Update: 2025-06-03
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Description

AI on Trial is a special episode of Human in the Loop, where we take a deep dive into Model Autophagy Disorder (MAD)โ€”a growing risk in artificial intelligence systems. From feedback loops to synthetic data overload, we unpack how models trained on their own outputs begin to degrade in performance and reliability. With real-world examples, emerging research, and ethical implications, this episode explores what happens when AI starts learning from itselfโ€”and what we can do to prevent it.

๐Ÿ’ก Whether you're an AI engineer, researcher, or just AI-curious, this episode gives you the tools to recognize, explain, and respond to MAD.

Featured Tool:
Try out the companion tool featured in the episode:
MADGuard โ€“ AI Explorer
A lightweight diagnostic app to visualize feedback loops, compare input sources, and score MAD risks.

Read the deeper explainer blog:๐Ÿ”— What Is Model Autophagy Disorder? โ€“ Human in Loop Blog
A plain-language breakdown of the research, risks, and terminology.

Other Detection Tools & Frameworks

References-

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AI on Trial: Decoding the Autophagy Disorder

AI on Trial: Decoding the Autophagy Disorder

Priti Y.