"AI incest" and the possible consequences · AI Business Transformation

"AI incest" and the possible consequences

Before I get to the issues realted to AI incest, I will explain what I mean with that.

"AI incest" is a situation where new AI models are trained on outputs from other AI models instead of fresh, human-created data. This recycling of AI-generated content creates a feedback loop, potentially degrading quality over time.

This could result for example in fake news from one AI being confirmed by another AI as they relate to each other.

My general recommendations in order to prevent this:

1. Prioritize Human-Created Data: Ensure that training datasets are refreshed with human-generated content.

2. Limit AI Outputs in Training Sets: Minimize reliance on AI-generated data in new AI model training.

3. Audit and Filter Training Data: Regularly check for AI-generated content in datasets to maintain data diversity and accuracy. This point would also create new jobs again.

What are your thoughts on this subject?

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