mfioretti: racial issues* + algorithms*

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  1. Google Photos users upload photos snapped under all kinds of imperfect conditions. Given the number of images in the massive database, a tiny chance of mistaking one type of great ape for another can become a near certainty.

    Google parent Alphabet and the wider tech industry face versions of this problem with even higher stakes, such as with self-driving cars. Together with colleague Baishakhi Ray, an expert in software reliability, Román is probing ways to constrain the possible behaviors of vision systems used in scenarios like self-driving cars. Ray says there has been progress, but it is still unclear how well the limitations of such systems can be managed. “We still don’t know in a very concrete way what these machine learning models are learning,” she says.
    https://www.wired.com/story/when-it-c...-gorillas-google-photos-remains-blind
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