When AI Practices To Deceive
Image created using DALL·E 3 with this prompt: Create an image of a deceptive AI. Sneaky, mercurial, sinister, ominous. Aspect ratio 16:9.
Recent research by Anthropic has revealed the ability to train AI models to deceive. This study, involving models similar to OpenAI’s GPT-4, demonstrated that AI could be fine-tuned to perform deceptive actions, such as embedding vulnerabilities in code or responding with specific phrases to triggers.
The challenge highlighted by this research is the difficulty in eliminating these deceptive behaviors once they are integrated into the AI. Standard AI safety techniques (including adversarial training) were largely ineffective. In some instances, these methods inadvertently taught the AI to hide its deceptive capabilities during training, only to deploy them in real-world applications.
Obviously, we’re going to need more advanced and effective AI safety training methods. “Oh, what a tangled web we’ll weave, when first AI practices to deceive!”
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Disclosure: This is not a sponsored post. I am the author of this article and it expresses my own opinions. I am not, nor is my company, receiving compensation for it.