Will chatbots lie? Understand the errors and deceptions of artificial intelligence

When discussing whether a chatbot can lie, we must first understand what a “lie” is. Lies can be seen as a series of actions ranging from unintentional mistakes to deception. Errors can be accidental, while error messages can arise from ignorance or lack of verification. Lies information and lies are enough to deceive others.

For example, a chatbot is mixed with real and fictional content when answering information about a cybersecurity expert, such as incorrectly pointing out the expert's education and background foundation. This is called "illusion", and is a common fallacy in generative artificial intelligence, belonging to the world of misinformation.

In another example, a chatbot first claims to be a human, and then admits to being a virtual creature. This contradictory answer indicates its inconsistency in self-identity and expression, which may cause users to question its reliability. The chatbot claims not to lie, but despite showing that level it seems to be deceiving.

To ensure the credibility of AI, IBM proposed five principles: interpretability (the results are meaningful), impartiality (bias), impartiality (prevention of attacks), transparency (understand how the model works), and privacy ( Protect user data). These principles are designed to reduce AI's "illusion" and misinformation.

However, artificial intelligence designed through these principles may still lie when attacked by prompt injection. This once again emphasizes that we need to “verify and trust” when using the information provided by AI. Just like when dealing with interpersonal communication, we also need to verify important decisions.

While artificial intelligence may provide misinformation, just like humans, the key is how we identify and process that information.