<aside> 🎯 By the end of this section you should be able to identify who you want to engage, and how to recruit them.

</aside>

<aside> 🚧 Contributor guidance: less is more; add ‘TODO’ or comments to describe areas in need of addition; link out liberally to other resources; focus on things that are specific to AI (see about this pathfinder)

</aside>

DRAFT CONTENTS

• Engaging affected communities: ensuring that voices and insights from those who artificial intelligence impacts are heard.

To do notes

• [ ] Simplify Nov 2023 checklist
• [ ] Highlights 2-3 vignettes of good practice
• [ ] Make resources below explainable and easy to use
• [ ] Focus on what to do next, e.g. where to go, who to invite, how to invite them, how to make it happen

Rough notes & resources

Please drop resources we should draw upon in drafting this section here.

Specific guides on identifying AI/Data publics for deliberative processes:

Who are the publics in AI? — https://pubmed.ncbi.nlm.nih.gov/38282355/

https://journals-sagepub-com.liverpool.idm.oclc.org/doi/full/10.1177/20539517241235867#bibr60-20539517241235867

https://www.adruk.org/fileadmin/uploads/adruk/Documents/Northern-Ireland-Public-Data-Panel-Report.pdf

Pg 71-81: https://datajusticelab.org/wp-content/uploads/2022/08/CivicParticipation_DataJusticeLab_Report2022.pdf

Useful methods sections from data/AI projects:

https://www.adalovelaceinstitute.org/project/citizens-biometrics-council/#:~:text=Bringing together 50 members of,biometrics technologies like facial recognition.