File:Deploying and maintaining AI in a socio-technical system -- Research Showcase (August 2016).pdf

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Original file(1,500 × 843 pixels, file size: 6.21 MB, MIME type: application/pdf, 105 pages)

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English: We should exercise great caution when deploying AI into our social spaces. The algorithms that make counter-vandalism in Wikipedia orders of magnitude more efficient also have the potential to perpetuate biases and silence whole classes of contributors. This presentation will describe the system efficiency characteristics that make AI so attractive for supporting quality control activities in Wikipedia. Then, Aaron will tell two stories of how the algorithms brought new, problematic biases to quality control processes in Wikipedia and how the Revision Scoring team learned about and addressed these issues in ORES, a production-level AI service for Wikimedia Wikis. He'll also make an overdue call to action toward leveraging human-review of AIs biases in the practice of AI development.
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Author EpochFail

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Date/TimeThumbnailDimensionsUserComment
current18:03, 17 August 2016Thumbnail for version as of 18:03, 17 August 20161,500 × 843, 105 pages (6.21 MB)EpochFailAdded credit to Zeynep's photo
16:44, 17 August 2016Thumbnail for version as of 16:44, 17 August 20161,500 × 843, 105 pages (6.21 MB)EpochFailUser created page with UploadWizard

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