Generative AI chatbots are helping change the business landscape. But they also have a problem: They frequently present inaccurate information as if it’s correct. Known as “AI hallucinations,” these mistakes occur up to 20% of the time.
“We know [current generative AI] has a tendency to not always give accurate answers, but it gives the answers incredibly confidently,” said Kathy Baxter, principal architect in Salesforce’s ethical AI practice. “So it can be difficult for individuals to know if they can trust the answers generative AI is giving them.”
You might hear those in the computer science community call these inaccuracies confabulations. Why? Because they believe the psychological phenomenon of accidentally replacing a gap in your memory with a false story is a more accurate metaphor for generative AI’s habit of making mistakes. Regardless of how you refer to these AI blunders, if you’re using AI at work, you need
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