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      Data science ethics book club #7 - AI & race - LONDON in London


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      November 27, 2019

      Wednesday   6:30 PM

      Central London, Greater London, United Kingdom
      London, Greater London

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      EVENT DETAILS
      Data science ethics book club #7 - AI & race - LONDON

      This is the signup page for the in-person London book club. We'll also be meeting in Edinburgh and online - follow the hyperlinks to sign up for those instead. Topic: Race and AI Our next data science ethics bookclub is on AI and race. You are welcome to pick from this reading list, depending on your interest and the time you have: Main read Book: Ruha Benjamin, Race After Technology Journal Article: Sebastian Benthall & Bruce D. Haynes. Racial Categories in machine learning - https://arxiv.org/pdf/1811.11668.pdf Quick readsJessie Daniels, Mutale Nkonde, Darakhshan Mir- Advancing Racial Literacy in Tech- Why ethics, diversity in hiring and implicit bias trainings aren't enough. https://datasociety.net/wp-content/uploads/2019/05/Racial_Literacy_Tech_Final_0522.pdf Karen Hao, This is how AI bias really happens—and why it’s so hard to fix. MIT Technology Review https://www.technologyreview.com/s/612876/this-is-how-ai-bias-really-happensand-why-its-so-hard-to-fix/ Short watchPoetry: Poem performed by Joy Buolamwini, AI, Ain't I A Woman? https://www.notflawless.ai/Talk: Safiya Noble, author of Algorithms of Oppression provides a short discussion of her book https://youtu.be/6KLTpoTpkXoComedy sketch: Full Frontal with Samantha Bee. Correspondant Sasheer Zamata discusses bias https://youtu.be/AxpWvMrPqVs *FAQs* Why are we doing this? There's a lot of good writing out there and one of the most important principles (even in our own ethical principles) is to discuss and debate the ethical questions. We hope this will help people gain the tools they need to think about this in their jobs or in DataKind projects, or in encountering algorithmic tools in their everyday life. But if all you get out of it is some friendly discussion over a coffee or beer, that works too :-) Do I need to be a data scientist to participate? Nope. We'll have a mix of technical and non-technical reading material. The aim is to think about data science in a context of ethical impacts and consequences - and that affects everybody! Is there an online option? We will be hosting an online group alongisde the in-person event - if you'd like to join remotely, please select the 'remote bookclub' option from the ticket options above. We'll also be live tweeting using the hashtag #DKbookclub and taking comments/questions. I have a brilliant idea for reading material/a theme! Who do I tell? We love suggestions! Tell us at contact@datakind.org.uk This book club is kindly hosted by Yoti - the simple, most secure way to prove your identity online and in person.

      Categories: Literary & Books | Science

      Event details may change at any time, always check with the event organizer when planning to attend this event or purchase tickets.