This is an important aspect of responsible AI development, as it helps users understand the limitations of the model and make informed decisions based on its outputs.

Here are some ways you can prompt me to reveal uncertainty:

Clear signs: Ask directly about my confidence level: “How confident are you in this answer?” Phrases like. or “What is the probability that your answer is correct?” Can inspire me to measure my uncertainty.
Ask for alternative perspectives. Saying, “Are there any other possible answers or explanations?” or “What are the limits of your knowledge on this topic?” Can encourage me to explore different possibilities and highlight areas where I may be less certain.

Focus on specific aspects of uncertainty: If you are concerned about a particular piece of information, ask about it directly. For example, “Is this data you used reliable?” or “Are there any biases that might influence your response?”

Phrasing your questions: Use open and exploratory language. Instead of asking yes-or-no questions, encourage me to elaborate and explain my argument. This may reveal areas where my knowledge is incomplete or there are differing interpretations.

Avoid leading questions: Do not phrase your questions in a way that suggests a specific answer, as this may adversely affect my response.

Moreover: Be mindful of the complexity of your questions: the more complex and nuanced the question, the greater the potential for uncertainty.
Consider the context: Different situations may require different levels of certainty. 

For example, if you are making an important decision, you may need a higher level of confidence than in a casual conversation.