DataKind UK Data Ethics Book Club processes and materials
This is DataKind UK’s intro to setting up a data ethics book club. We started in 2019, with seven book club events. They were run every 6-8 weeks or so in London, Edinburgh and remotely.
There has been interest from others who would like to replicate (and, we hope, improve!), and we
It’s not just a books - we used books as well as journal articles, blogs, news stories, videos of talks and even poems.
The aims of the book club before starting were to:
- To foster discussions of ethics issues among our data science community, and later on, the wider data science community, that they can take back to their day jobs/careers;
- To educate and inform our community on ethical issues, to better enable them to support social change organisations; and
- To strengthen our community of data scientists, social change organisations, and data for good enthusiasts.
General processes for a book club are found in Processes.
- What to think about for your book club
- Sample Facilitator Guide
- Sample Hosting Guide
- Sample Book Club FAQs
These topics were run by DataKind UK during 2019. They may help others get started too!
- Impacts of Algorithms
- Facial Recognition
- Fairness in AI
- Self-Driving Cars
- AI and Gender
- AI and Financial Inclusion
- AI and Race
- Recommender Systems
- Medicine and AI
- AI at Work
- Data and Social Change Movements
- Addictive Tech
- Automating Inequality
- AI and Personal Insurance
- Generative AI Special
All materials used in the DataKind UK Data Ethics Book club are also provided:
Please do contribute to the repo via Github (there’s a helpful guide to web-based changes here or use the git commandline if you prefer) or you can get in touch at contact@datakind.org.uk
The DataKind UK Data Ethics Book Club continues in 2020! Keep an eye out for local and remote events here or sign up to get newsletters/join the #ethics Slack channel.