The company did not respond to a request for comment about how some of its researchers use LDNOOBW as an oracle of what’s objectionable. Gebru says she was fired by Google after refusing a manager’s demand to remove her name from or retract the paper before publication Google has said she resigned and criticized the paper’s quality. “If we filter out the discourse of marginalized populations, we fail to provide training data that reclaims slurs and otherwise describes marginalized identities in a positive light,” the paper says.
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Another, similar, open source list of “bad” words caused chat software Rocket.Chat to censor attendees of an event called Queer in AI from using the word queer.Īgnew’s questioning of Google’s use of LDNOOBW led to the practice being called out in a research paper released last month warning of ethical downsides to recent AI research the paper led to prominent researcher Timnit Gebru’s sudden departure from Google. Some AI researchers have criticized Google’s use of LDNOOBW as narrowing what its software knows about humanity. But such lists are inevitably imperfect and can spawn unintended consequences. Blocklists try to bridge the gulf between the mechanical logic of software and the organic contradictions of human behavior and language. LDNOOBW, as intimates know it, has been a low profile utility for years, but recently became more prominent. Google artificial intelligence researchers recently removed web pages containing any of the words from a dataset used to train a powerful new system for making sense of language.
Open source mapping project OpenStreetMap uses it to sanitize map edits. Slack uses the open source List of Dirty, Naughty, Obscene, and Otherwise Bad Words, found on GitHub, to help groom its search suggestions. Parts of the internet have a list of 402 banned words, plus one emoji, 🖕. Comedian George Carlin had a list of Seven Words You Can’t Say on TV.
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