auto_awesomeAI Summary
“As AI systems become increasingly autonomous, data governance is emerging as critical to AI safety—rivaling traditional model training and monitoring in importance. Poor data quality, fragmentation, and lack of oversight can make autonomous AI systems behave unpredictably, highlighting why organizations must prioritize robust data management practices alongside model safety measures.”
AI safety focus shifts from models to the data that powers autonomous systems.
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