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In Leaked Audio, Microsoft Cherry-Picked Examples to Make Its AI Seem Functional

Jan 13, 2024 - futurism.com
Microsoft's Security Copilot, an AI tool designed to assist cybersecurity professionals, often "hallucinated" incorrect responses during its early stages, according to leaked audio from an internal presentation. The AI, which is largely built on OpenAI's GPT-4 large language model, was not trained on cybersecurity-specific data, leading to inconsistent and incorrect answers. Microsoft researcher Lloyd Greenwald admitted that they had to "cherry-pick" examples of the AI's output that looked good due to its stochastic nature.

Greenwald also revealed that the examples they demoed to the government were cherry-picked, but it's unclear if Microsoft was transparent about this during its presentations. A Microsoft spokesperson clarified that the technology discussed was exploratory work that predated Security Copilot and was tested on simulations created from public datasets, with no customer data used.

Key takeaways:

  • Microsoft reportedly "cherry-picked" examples of its generative AI's output after it frequently "hallucinated" incorrect responses, according to leaked audio of an internal presentation on an early version of Microsoft's Security Copilot.
  • The AI tool, which is designed to help cybersecurity professionals, was tested on a Windows security log for possible malicious activity. However, it often gave different answers when asked the same questions.
  • Security Copilot is largely built on OpenAI's GPT-4 large language model, which Microsoft had early access to. The AI was not trained on cybersecurity specific data, but relied on its general dataset.
  • It's unclear if Microsoft used these "cherry-picked" examples in its presentations to the government and other potential customers. A Microsoft spokesperson said that the technology discussed was exploratory work that predated Security Copilot and was tested on simulations created from public data sets.
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