data-ethics-and-society-reading-group

Reading list

(format borrowed from Data Ethics Club)

This is a list of books compiled by community suggestions.

If you’d like to make a suggestion for what to read, please do so however you prefer:

The organisers then pick a handful of these books and get the community to vote on which should be read at a future event.

Title Author Year Additional Info  
AI Needs You Verity Harding 2024    
AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference Arvind Narayanan and Sayash Kapoor 2024    
Algorithms of Oppression Safiya Noble 2018    
Artificial Unintelligence: How computers misunderstand the world Meredith Broussard 2018 06.12.22, 12:30  
Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence Kate Crawford 2022 26.07.2021, 12:30  
Automating Inequality: How High-Tech Tools Profile, Police and Punish the Poor Virginia Eubanks 2018    
Bad Data: How Governments, Politicians and the Rest of Us Get Misled by Numbers (Hardback) Georgina Sturge 2022 28.02.23, 12:00  
Code Dependent: Living in the Shadow of AI Madhumita Murgia 2024 04.09.2024, 13:00  
Coders: Who They Are, What They Think and How They Are Changing Our World Clive Thompson 2019    
Co-Intelligence: Living and Working with AI Ethan Mollick 2024    
Counting: How We Use Numbers to Decide What Matters Deborah Stone 2020 31.05.2022, 12:00  
Dark Data: Why What You Don’t Know Matters David Hand 2020 04.06.24, 13:00  
Data and Society: A Critical Introduction Anne Beaulieu and Sabina Leonelli 2021    
Data Action: Using data for public good Sarah Williams 2020    
Data Feminism Catherine D’Ignazio, Lauren Klein 2020 💸 ✅ 28.07.2020, 16:00  
Deepfakes and the Infocalypse: What You Urgently Need To Know Nina Schick 2020    
Deep Medicine Eric Topol 2019    
Don’t Be Evil: The Case Against Big Tech Rana Foroohar 2019    
Escape from Model Land: How Mathematical Models Can Lead Us Astray and What We Can Do about It Erica Thompson 2019 14.12.23, 12:00  
Ethics of Digital Well-Being Luciano Floridi 2020    
Exponential: Order and Chaos in an Age of Accelerating Technology Azeem Azhar 2021    
Factfulness: Ten reasons we’re wrong about the world Hans Rosling 2018    
Good Data: An Optimist’s Guide to Our Digital Future Sam Gilbert 2021 19.09.23, 12:00  
Hello World: How to be Human in the Age of the Machine Hannah Fry 2018 15.02.2022, 12:00  
Homo Deus: A Brief History of Tomorrow Yuval Noah Harari 2015    
How Charts Lie Alberto Cairo 2019    
How to Read Numbers: A Guide to Statistics in the News (and Knowing When to Trust Them) Tom Chivers, David Chivers 2021    
Human Compatible: AI and the Problem of Control Stuart Russell 2019    
Invisible Women: Exposing Data Bias in a World Designed for Men Caroline Criado Perez 2019 06.09.22, 12:00  
More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech Meredith Broussard 2023    
Naked Statistics: Stripping the Dread from the Data Charles Wheelan 2012    
Practical Data Ethics fast.ai   📺  
Privacy is Power: Why and How You Should Take Back Control of Your Data Carissa Véliz 2020    
Queer Data: Using Gender, Sex and Sexuality Data for Action Kevin Guyan 2022    
Scary smart: the future of artificial intelligence and how you can save our world Mo Gawdat 2021    
Superintelligence: Paths, Dangers, Strategies Nick Bostrom 2014    
Technically Wrong: Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech Sara Wachter-Boettch 2017    
Technology is Not Neutral: A Short Guide to Technology Ethics Stephanie Hare 2022 07.03.24, 12:00  
The Alignment Problem: Machine Learning and Human Values Brian Christian 2021 03.12.2024, 13:30  
The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power Shosana Zuboff 2018    
The Coming Wave: Technology, Power and The Twenty-first Century’s Greatest Dilemma Mustafa Suleyman and Michael Bhaskar 2023    
The Digital Republic: On Freedom and Democracy in the 21st Century Jamie Susskind 2022    
The Ethical Algorithm: The Science of Socially Aware Algorithm Design Michael Keens, Aaron Roth 2019    
The Signal and The Noise Nate Silver 2012    
The Official History of Britain: Our Story in Numbers as Told by the Office For National Statistics Boris Starling and D. Bradbury 2020    
The Smart Wife: Why Siri, Alexa, and Other Smart Home Devices Need a Feminist Reboot Jenny Kennedy and Yolande Strengers 2020    
The Truth Detective: How to make sense of a world that doesn’t add up Tim Harford 2023    
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy Cathy O’Neil 2016 15.05.23, 12:00  
We The People: A Playbook for Data Ethics in a Democratic Society Kathy Rondon 2022    
Your Computer Is On Fire Edited by Thomas S. Mullaney, Benjamin Peters, Mar Hicks, Kavita Philip 2021 💸