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Artificial intelligence service "ORES" gives Wikipedians X-ray specs to see through bad edits – Wikimedia Foundation
When anyone can edit any page of one of the biggest websites in the world, how can you evaluate all those changes? A Wikimedia Foundation research scientist and a team of volunteers has developed an artificial intelligence service to handle some of the highest-volume crowdsourcing issues on the internet.
Known since July 11, 2019Metadata
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wikimediafoundation.org/news/2015/11/30/artificial-intelligence-x-ray-specs open_in_new
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- Artificial intelligence service "ORES" gives Wikipedians X-ray specs to see through bad edits – Wikimedia Foundation
- Meta title
- Artificial intelligence service "ORES" gives Wikipedians X-ray specs to see through bad edits – Wikimedia Foundation
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- When anyone can edit any page of one of the biggest websites in the world, how can you evaluate all those changes? A Wikimedia Foundation research scientist and a team of volunteers has developed an artificial intelligence service to handle some of the highest-volume crowdsourcing issues on the internet.
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wikimediafoundation.org > news > wikipedias-value-in-the-age-of-generative-ai
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wikimediafoundation.org > news > wikipedias-value-in-the-age-of-generative-ai
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Selena Deckelmann
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Read more
wikimediafoundation.org > news > wikipedias-value-in-the-age-of-generative-ai
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wikimediafoundation.org > news > designing-ethically-with-ai-how-wikimedia-can-harness-machine-learning-in-a-responsible-and-human-centered-way
Designing ethically with AI: How Wikimedia can harness machine learning in a responsible and human-centered way
wikimediafoundation.org > news > designing-ethically-with-ai-how-wikimedia-can-harness-machine-learning-in-a-responsible-and-human-centered-way
Jonathan T. Morgan
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https://dx.doi.org/10.1177/0002764212469365
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https://dx.doi.org/10.1080/1369118X.2013.873069
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https://dx.doi.org/10.1145/2556288.2557313
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