New guide: Public Engagement in Data Science and AI
A new free online guidebook and training materials from the Turing Institute for any researchers interested in public engagement with data science and AI.
Back in 2022 Christopher Burr of the Turing Institute ran a week-long 'Public Engagement in Data Science and AI' course and the material from that is now freely available as a guidebook on the Turing Commons site as part of their Skills Tracks resources.
Who is it for?
The guide is for researchers with an active interest in public engagement, specifically in the context of data science and artificial intelligence. This doesn’t mean you have to be a data scientist, or use Python to develop machine learning algorithms. You could also be an ethicist, sociologist, or someone with an interest in law and public policy.
What's in it?
The guide is structured in short chapters or modules that you can explore to suit your interests. Sections include:
- What is public engagement?
- The values of public engagement
- Facilitating public engagement
- Public communication
- Public Trust and Assurance
The learning objectives include:
- Critically examine what 'public engagement' is, the goals associated with different types of public engagement, and to identify the associated values.
- Understand the different stages of public engagement as they apply to the typical activities of a data science or AI research/innovation project.
- Explore practical methods and activities that can help build more effective forms of public engagement.
- Identify the elements of public engagement that help build a more trustworthy data and AI ecosystem.
Click here to access the guide
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