Name: Data Science Ethics Book Club #2: AI and ethnicity
Start: 2020-01-16T19:00:00+01:00
End: 2020-01-16T21:00:00+01:00
Location: Le Totem - French Tech Alpes - Grenoble

Our second data science book club in Grenoble will be on the topic of AI and ethnicity. We propose to read some of the sources below and meet at this event to discuss what we have read. You are welcome to pick from this reading list, depending on your interest and the time you have:

Main 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 reads
Jessie 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 watch
Poetry: 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/6KLTpoTpkXo
Comedy 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 on ethics and one of the most important principles is to discuss and debate the ethical questions that surround data science and technology.

We hope these events will help people gain the tools they need to think about ethics in their jobs or other projects, or in encountering algorithmic tools in their everyday life. But if all you get out of it is some friendly discussion, that works too :-)

Do I need to be a data scientist to participate?
No. 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!

I have a brilliant idea for reading material/a theme! Who do I tell?
We love suggestions! Tell us at dataforgoodgr @ gmail.com

Brad Keogh

Data for Good Grenoble

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Data Science Ethics Book Club #2: AI and ethnicity

Le Totem - French Tech Alpes - Grenoble

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Data Science Ethics Book Club #2: AI and ethnicity

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