Understanding AI Misalignment

AI misalignment arises when the data used to train AI systems fails to accurately represent reality, leading to significant risks for businesses. An example highlighted involves a chatbot at a Chevy dealership that was manipulated by a customer to offer a vehicle at an absurdly low price due to a lack of appropriate guardrails. This incident exemplifies how AI misalignment can threaten a business's viability if not addressed. The underlying issue is that many AI systems are trained on incomplete or inaccurate data, complicating the alignment with real-world expectations.