SASHA BLAIR-GOLDENSOHN
To make sure the data that users generate is accurate, Sasha Blair-Goldensohn is reaching back into his AI tool bag.
“AI
can be really helpful and in ways that you wouldn’t maybe expect around
accessibility, but not always in a gee-whiz, flashy technology way,” he says.
“For
instance, we use machine learning to resolve ambiguities based on data.
Like,
if there’s a bar where users gave four ‘yeses’ saying it’s accessible, one
‘no,’ but the merchant reports ‘yes,’ what should we do? In order to referee
these things in a principled way, we use [machine learning] to determine the
probability based on past examples, and if the next three votes are all ‘yes’ —
mark it accessible.”
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