Previous reading

Q1 - 2021

Books and long reads

Design Justice: Community-Led Practices to Build the Worlds We Need by Sasha Costanza-Chock Open Access version If you want to know I am reading Design Jutice read this article.

Consequence Scanning An Agile event for Responsible Innovators by Doteveryone, suggested by Alex at Data Sistren Session

Events

Workshop: Feminist Data Set by Blackwood Gallery, Sat, January 23, 2021, 4:00 PM – 7:00 PM GMT

Films

Coded Bias explores the fallout of MIT Media Lab researcher Joy Buolamwini’s discovery that facial recognition does not see dark-skinned faces accurately, and her journey to push for the first-ever legislation in the U.S. to govern against bias in the algorithms that impact us all.

October 2020

Book

Algorthims of Oppression by Safiya Umoja Noble Check out this podcast interview on the book

Blogs

Death By Bias. How Algorithms Systemize Discriminatory Practices. by Alise Otilia Ramírez (she/her) Link

Videos

Feminist AI and and the Women’s Center for Creative Work, Algorithms of Oppression Book Clubs sessions Link

Guides

Examining the Black Box: Tools for Assessing Algorithmic Systems by Ada Lovelace and DataKind Link

Algorthims of Oppression by Safiya Umoja Noble

Review to come soon. Really enjoyed reading this.

Data Feminism by Catherine D’Ignazio and Lauren Klein

The principles have inspired me so much;

Data feminism begins by analyzing how power operates in the world
Data feminism commits to challenging unequal power structures and working toward justice
Data feminism teaches us to value multiple forms of knowledge, including the knowledge that comes from people as living, feeling bodies in the world
Data feminism requires us to challenge the gender binary, along with other systems of counting and classification that perpetuate oppression
Data feminism insists that the most complete knowledge comes from synthesizing multiple perspectives, with priority given to local, Indigenous, and experiential ways of knowing
Data feminism asserts that data are not neutral or objective. They are the products of unequal social relations, and this context is essential for conducting accurate, ethical analysis
The work of data science, like all work in the world, is the work of many hands. Data feminism makes this labor visible so that it can be recognized and valued Organize against oppression Qoute Open access version of book

Race after technology by Ruha Benjamin

First introduction to critical race theory applied to technology. The examples within the book demonstrated how tech can preptuate a “new jim code”, by enabling and perpetuating racial violence.