HOME | DD

Description
Learn how to ask artificial intelligence the right questions.

how to ask AI correctly to receive accurate, unbiased answers, along with precise statistics and research results:
Be Specific: Clearly articulate what information you seek. Vague questions can lead to ambiguous responses. Instead of asking, "Tell me about cars," specify, "What are the most fuel-efficient cars available in the market?"
Provide Context: Give background information to help AI understand the context of your question. For instance, instead of asking, "What is the best phone?" provide context like, "I'm looking for a smartphone with a good camera under $500."
Avoid Ambiguity: Use precise language to avoid misunderstandings. Instead of asking, "How many people are interested in sports?" ask, "What percentage of adults in the US actively participate in sports at least once a week?"
Ask Open-ended Questions: Avoid yes/no questions when seeking detailed information or analysis. Instead of asking, "Is climate change real?" ask, "What evidence supports the existence of climate change?"
Specify Timeframes: If relevant, specify the #timeframe for the data you're seeking. For example, instead of asking, "How many books are sold annually?" specify, "How many books were sold worldwide in 2021?"
Request Sources: Ask for the sources of information to ensure credibility. Prompt with, "Can you provide the sources for this data?" or "Where did you gather this information?"
Check for Bias: Phrase questions neutrally to avoid bias in responses. Instead of saying, "Prove that AI is superior to human intelligence," ask, "What are the advantages and limitations of AI compared to human intelligence?"
Clarify Definitions: Define any technical terms or concepts to ensure accurate responses. For instance, instead of asking, "What's the average GDP?" specify, "Can you define GDP and explain how it's calculated?"
Request Confidence Levels: Ask for confidence levels or margins of error associated with statistics to gauge their reliability. Prompt with, "What is the confidence interval for this statistic?" or "Can you provide the margin of error?"
Revise and Refine: Review your question before submitting to ensure clarity and relevance. Adjust as necessary to improve the chances of receiving accurate and useful responses.

Description
Learn how to ask artificial intelligence the right questions.

how to ask AI correctly to receive accurate, unbiased answers, along with precise statistics and research results:
Be Specific: Clearly articulate what information you seek. Vague questions can lead to ambiguous responses. Instead of asking, "Tell me about cars," specify, "What are the most fuel-efficient cars available in the market?"
Provide Context: Give background information to help AI understand the context of your question. For instance, instead of asking, "What is the best phone?" provide context like, "I'm looking for a smartphone with a good camera under $500."
Avoid Ambiguity: Use precise language to avoid misunderstandings. Instead of asking, "How many people are interested in sports?" ask, "What percentage of adults in the US actively participate in sports at least once a week?"
Ask Open-ended Questions: Avoid yes/no questions when seeking detailed information or analysis. Instead of asking, "Is climate change real?" ask, "What evidence supports the existence of climate change?"
Specify Timeframes: If relevant, specify the #timeframe for the data you're seeking. For example, instead of asking, "How many books are sold annually?" specify, "How many books were sold worldwide in 2021?"
Request Sources: Ask for the sources of information to ensure credibility. Prompt with, "Can you provide the sources for this data?" or "Where did you gather this information?"
Check for Bias: Phrase questions neutrally to avoid bias in responses. Instead of saying, "Prove that AI is superior to human intelligence," ask, "What are the advantages and limitations of AI compared to human intelligence?"
Clarify Definitions: Define any technical terms or concepts to ensure accurate responses. For instance, instead of asking, "What's the average GDP?" specify, "Can you define GDP and explain how it's calculated?"
Request Confidence Levels: Ask for confidence levels or margins of error associated with statistics to gauge their reliability. Prompt with, "What is the confidence interval for this statistic?" or "Can you provide the margin of error?"
Revise and Refine: Review your question before submitting to ensure clarity and relevance. Adjust as necessary to improve the chances of receiving accurate and useful responses.