FHIBE

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Sony AI's Fair Human-centric Image Benchmark (FHIBE) was published in the journal Nature.

“that's recently culminated in a publication in Nature of our Fair Human-centric Image Benchmark, also known as FHIBE.”

Alice Xiang · An Industry Benchmark for Data Fairness: Sony’s Alice Xiang, 0:03:19

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FHIBE used self-reported demographic information rather than third-party annotators' guesses to make its labels more accurate.

“we did use self-reported demographic information in an effort both to ensure our labels were more accurate and also that we weren't relying on third-party annotators to guess.”

Alice Xiang · An Industry Benchmark for Data Fairness: Sony’s Alice Xiang, 0:09:01

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FHIBE includes extensive annotations about the environment, people's physical attributes and the cameras used.

“And then we had also extensive annotations about the environment, other physical attributes of the person, the cameras being used, all sorts of things.”

Alice Xiang · An Industry Benchmark for Data Fairness: Sony’s Alice Xiang, 0:09:36

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More than sixty institutions from academia, industry and government downloaded FHIBE in the first couple of weeks after its release.

“There were over sixty different institutions downloading it, folks from academic institutions, industry, and government institutions.”

Alice Xiang · An Industry Benchmark for Data Fairness: Sony’s Alice Xiang, 0:11:54

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Sony tested FHIBE with several business units developing computer vision technologies before its public launch.

“FHIBE is being used as well across Sony, even before the launch. We tested it out with a number of our business units that are developing computer vision technologies.”

Alice Xiang · An Industry Benchmark for Data Fairness: Sony’s Alice Xiang, 0:16:21

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Alice Xiang says FHIBE is a proof of concept that ethical data sourcing is possible at some scale, though harder and more expensive.

“Obviously, it's more difficult, it's more expensive, but, you know, FHIBE was kind of the proof of concept that at least on some scale, you're able to do this.”

Alice Xiang · An Industry Benchmark for Data Fairness: Sony’s Alice Xiang, 0:15:28

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FHIBE focuses on human-centric computer vision because Alice Xiang considers it one of the most sensitive areas for data.

“We focused FHIBE on human-centric computer vision, precisely because it is one of the most sensitive areas.”

Alice Xiang · An Industry Benchmark for Data Fairness: Sony’s Alice Xiang, 0:18:35