In my presentation in Lleida last year I talked about the connection between quality data and AI. This column addresses this topic with reference to Data-centric Artificial Intelligence: A Survey, a June, 2023 paper by researchers from Rice University and Texas A&M, albeit after several paragraphs of boring luddite-bashing. But to the main point: "Data-centric AI systems shift the focus from models toward data. Data is viewed not merely as fuel for AI, but as a determining factor in the overall system quality, and a way to help build AI systems that deal with complex real-world problems." AI systems like chatGPT might not be very reliable at the moment, but the expectation is that with the right data, they will become that much more reliable.
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