Ethical Design Guide
Tech is always political. The way data is collected and handled is often biased, and many products are neither accessible nor inclusive. Ethical Design Guide is made to share resources on how to create ethical products that don't cause harm. More links will be added continuously, and shared through a monthly newsletter.
Recommended topics
Resources
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America’s long history of scapegoating its Asian citizens
article about race, and racism.
By Nina Strochlic, and National Geographic.
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Covid-19 Fueling Anti-Asian Racism and Xenophobia Worldwide
article about race, and anti-racism.
By Human Rights Watch.
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library about race, and anti-racism.
By anti-asianviolenceresources.carrd.co.
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library about race, and anti-racism.
By stopasianhate.carrd.co.
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#CauseAScene Book Club: How to Be An Antiracist Ch. 1
podcast about race, antiracist, anti-racism, and bias.
By Kim Crayton.
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Dr. Timnit Gebru, Big Tech, and the AI Ethics Smokescreen
article about AI, ethics, and racism.
By Mia Dand.
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Stamped: Racism, Antiracism, and You
book about racism, and antiracism.
By Jason Reynolds, and Ibram X. Kendi.
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Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
paper about algorithms, AI, gender, and race.
By Joy Buolamwini, and Timnit Gebru.
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talk about AI, algorithms, race, and gender.
By Joy Buolamwini.
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What the Tech Industry Can Learn from Afrofuturism
article about race, anti-racism, and AI.
By Sidney Phillips.
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library about race, and anti-racism.
By madsci.net.
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Where Is the Rush to Visualize the Public Health Crisis of Racism?
article about data visualization, anti-racism, and racism.
By Amanda Makulec.
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tool about race, stock photos, and diversity.
By Nappy.
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Black Design in America: African Americans and the African Diaspora in Graphic Design
course about anti-racism, design, design history, and race.
By Polymode, BIPOC Design History, Saki Mafundikwa, Kelly Walters, Pierre Bowins, Jon Key, Tasheka Arceneaux-Sutton, Omari Souza, Lauren Williams, and Audrey Bennet.
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book about algorithms, inequality, racism, and bias.
By Ruha Benjamin.
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book about algorithms, data science, inequality, racism, and bias.
By Cathy O'Neil.
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course about anti-racism.
By Kim Crayton.
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article about algorithms, AI, racism, and bias.
By Julia Angwin, Jeff Larson, Surya Mattu, Lauren Kirchner, and ProPublica.
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article about anti-racism.
By Tatiana Mac.
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book about algorithms, bias, racism, sexism, and data science.
By Dr. Safiya Umoja Noble.