Do you trust generative AI to help you with tasks at work? While AI-powered tools are great at projecting confidence and certainty in their responses, chances are you know little about the origin of the AI’s data. Did it come from a trusted source, like a peer-reviewed journal in your industry, or a dubious one, like a smart-sounding comment scraped from social media?
If your generative artificial intelligence (AI) uses an off-the-shelf large language model (LLM) like OpenAI’s ChatGPT or Google’s Gemini, the data you’re relying on is a grab bag of stuff pulled from a multitude of sources.
“Data traceability is super important. Sometimes knowing that you don’t know where the data came from is just as important as being able to trace the data,” said William Dressler, regional vice president of AI and data architecture, and the head of innovation in the global AI practice, at Salesforce.
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