“Data Science isn’t neutral”; books such as Race After Technology, Invisible Woman and Data Feminism have highlighted the social and ethical impact of Statistics, Data Science and Artificial Intelligence (AI).
The Data Ethics and Society Reading Group is a space for public sector colleagues to reflect on the ethical implications of our work. We read books, journals, blog posts, and watch videos, that relate to doing data science ethically.
We meet four times a year.
Our next session will be on Tuesday 28th February 2023 where we will be discussing Bad data: How Governments, Politicians and the Rest of Us Get Misled by Numbers, by Georgina Sturge.
Sign up to our mailing list to hear about all our events.
The organisers are based in Leeds and Cardiff, and the group is open to all civil servants in the UK. To stay in the loop, please join the #ethics channel on the cross-government Data Science Slack workspace- you’ll need a public sector email address to join. Feel free to run one of the sessions at your own organisation too. All resources are included in this repo.
While you’re here, you may also want to:
The main way to keep informed about upcoming sessions is to join our mailing list.
Otherwise, we often post in the #ethics channel of the cross-government data science slack workspace.
We will also advertise sessions:
If you’re interested in joining us in organising, please ping us on Slack. We would really welcome new organisers.
You can also contact us separately:
If you’d like to make a suggestion for what to read, please do whatever you’d prefer:
This meetup is exclusively for the public sector (central and local government and their arms-length bodies, government companies, policing and public health organisations, such as the NHS).
Please register with your work address to help us check that you are a UK public sector employee. If you use a personal email address, your registration may be cancelled.
Microsoft Teams provides a live captioning feature for attendees to use. We encourage our speakers to design slides with accessibility in mind, and we will try our best to send the slides in advance.
Built off of, inspired by, and borrowing heavily from:
This website has passed the Government’s accessibility criteria. If you want to raise anything related to its accessibility, please email Government.Data.Science.Conference@ons.gov.uk
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