BLUF: GenAI (AI here on) doesn’t ask follow up questions leading to it providing answers that are unsatisfactory to the user. This is increasingly a failing of the system as people use AI to solve problems outside their area of expertise.
Prompting Questions: What issues do you think could be solved with follow up questions when using an AI? What models seem to ask the most? Are there prompts you use to enable it? What research is being done to accomplish an AI that asks? What are some external pressures that may have lead development to avoid an AI asking clarifying questions?
How I got here: I work as a consultant and was questioning how I wasn’t replaced yet. (I am planning on moving to a different field anyhow) Customers were already using AI to answer questions to solve most of their problems but would still reach out to people (me) for help on topics they “couldn’t explain to the chatbot.” Also, a lot of the studies on AI use in coding note that people with greater proficiency in coding get the most benefit from AI use in terms of speed and complexity. I thought it was due to their ability to debug problems but now I think it was something else. I believe the reason why users less experienced on the topic they are asking AI about are getting unsatisfactory results vs a person is because a person may know that there are multiple ways to accomplish the task and that it is circumstantial and so will ask follow up questions. Meanwhile most AI will give a quick answer or multiple answers for some use cases without the same clarifying questions needed to find the best solution. I hope to learn a lot from you all during this discussion based on the questions above!
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