to interpret commands from “low-income, rural, less educated, and non-native speakers” because their voices are infrequently included in training audio, according to a recent Accenture article that appeared in the MIT Sloan Management Review.
This inclusionary approach can slow the development, prototyping and rollout of AI solutions. But from the perspective of its members, like Intel, that’s a feature, not a bug. A binary distinction between builders and users here is therefore worse than useless. It concentrates the responsibility for the creation of negative AI consequences in the hands of a few—a potentially hazardous development. It also “reinforces a lack of agency on users’ part,” undermining what should be a mutually beneficial relationship between users and creators, Davis says.
Another issue that inclusive design can help resolve has to do with cultural differences. Customs can vary from place to place, and AI applications have to be aware of how and when.
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