History of AI Safety Failures

A look at the most significant documented instances where AI models were manipulated to produce prohibited or harmful output.

The top 3

  1. Early Chatbot Toxicity Incidents: The first wave of LLM releases faced public scrutiny when researchers forced chatbots to generate hate speech within days of launch.
  2. Deepfake Generation Breakthroughs: The shift from text-based manipulation to image-based deepfakes marks the most difficult hurdle for modern AI safety teams.
  3. Adversarial Prompt Engineering Evolution: The cat-and-mouse game between safety researchers and model developers has intensified, with thousands of new prompt-based exploits identified annually.

Sources

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