Apple’s AI summarization mishap—like misreporting a darts championship—shows how fragile trust in AI can be. Sensitive domains like news or finance demand grounded outputs.
At FalkorDB, we’ve seen graph-based RAG systems mitigate these risks.
Question of the day: Are your AI systems built for trust?
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Top comments (2)
I would add that inaccurate AI outputs erode trust, damage reputations, and amplify misinformation risks. Graph-based RAG systems ground outputs in verifiable data.
Came across something similar, might help - Graph RAG