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When something goes wrong with an AI assistant, our instinct is to ask it directly: "What happened?" or "Why did you do that?
AI isn't just coming for white-collar jobs; it's already at the table and helping itself to a generous portion.
The authors argue that AI trained with undisclosed, unvalidated datasets can propagate privacy violations, bias, deepfakes, and misinformation. Centralized systems also fail in environments where ...
First, RAG can enhance the accuracy of AI-generated outputs by grounding them in an organization's verified knowledge repositories.
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