What is this Reading list?
The reading list contains all the suggestions for what to read or watch, contributed by members of the Data Ethics Club community. We choose from this list what to vote on to discuss for future meetings. We’d also love it if this reading list was useful for other people in starting their own journal clubs, or for any other purpose.
🎤 = audio only
🕰️ = waiting for paper to drop
✅ = we’ve discussed it
🔒 = Not Open access
📺 = Watching/Listening material
 = A longer piece of work, we’d need to choose a chapter or section.
 = A shorter piece of work, perhaps to combine with something else
Note: reading materials appear once in the category we felt they fit best.
What is data ethics?#
📺 AI, Ain’t I a Woman? - poem2 - suggested by Valentina Ragni
Ethics and Policy Class Materials by Casey Fiesler1 - suggested by @NatalieZelenka #100
Data and Society: A Critical Introduction - suggested by reviewer for DEC paper 
Moral philosophy for data science#
Forbidding Nasty Knowledge - On the Use of Ill-gotten Information - suggested by Mia Mace
The nature of data and algorithms#
Data science in our daily lives#
Algorithmic decision making#
Suggested excerpt: Social Inequality Will Not Be Solved By An App
Accountable Algorithms  - suggested by DEC paper reviewer
Algorithmic Transparency for the Smart City  - suggested by DEC paper reviewer
Assessing risk, automating racism. - suggested by DEC paper reviewer
History of data science#
To engage LGBTQ+ people in data collection, we need to look at its harmful history by Kevin Guyan - suggested by @NatalieZelenka
Environmental costs and considerations#
Quantifying the Carbon Emissions of Machine Learning and the ML CO2 Impact calculator - suggested by @JennyBrennan
Privacy and surveillance#
“Participant” Perceptions of Twitter Research Ethics - suggested by @NatalieZelenka - ✅25th Aug 2021
Data ethics in the private and public sectors#
Suggested excerpt: Executive Summary
UK Statistics Authority Landscape Review of Applied Data Ethics - :white_check_mark: 14th Apr 2021
Request for reading on: Ethics around children and families data (ethics taken into consideration for thematic reports/ research)
Data science and research culture#
Microbiological Research Under the Nagoya Protocol: Facts and Fiction 🔒 - suggested by ?
Request for reading on: Data Science/AI and synthetic biology
Ethics in action (the good and the not so good)#
Structural injustice and individual responsibility 🎤 - suggested by Kamilla Wells - ✅ 6th Oct 2021
Chapter 7: “Show your work”
The description of “co-liberatory” projects in chapter 5: “Unicorns, janitors, ninjas, wizards and rock stars”
Sharing learnings about our image cropping algorithm (Twitter) - suggested by @ninadicara, see #64
Natural Language Processing (NLP)#
Follow-up paper: Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them - suggested by @NatalieZelenka
Chat GPT Exploitation of workers - suggested by ?
📺 How normal am I? - interactive - suggested by Valentina Ragni
Documenting Computer Vision Datasets: An Invitation to Reflexive Data Practices - found through the CIVIC Data Library of Context suggested by a reviewer for DEC paper