AI in a Box

AI in a Box is a set of resources developed during the PEAs in PODs Project for ongoing self-guided learning and researcher engagement on data-driven and AI technologies and ethics across communities.

What's in the Box?


1.  PEAs in PODs: Training materialsfor AI and Data Science researchers

Training Modules

Find out more


2. The three inspiring programmes of public engagementdesigned and delivered by academics and communities.

Programme 1

The Tatton – Raising Awareness of Artificial Intelligence in the Community

Programme 2

Inspire – The People's Charter for Artificial Intelligence

Programme 3

Back on Track and HI Future – Using machine learning to support people affected by homelessness in finding job opportunities that match their strengths.


3.

Co-created a 10-minute community video about Community Perspectives on Artificial Intelligence.


4. Co-created People's Charter for AI 

The People's Charter for AI Explainer booklet introduces the charter, outlines what good looks like for communities in achieving the principles of the charter, and guides organisations that would like to work towards achieving the principles of the Charter.  The Explainer booklet can be downloaded here: The People’s Charter for Artificial Intelligence infographic is available to download in several languages. 


5. Case study Booklet PEAs in Pods: A showcase of co-production of community-based public engagement featuring the voices of community members and public engagement ambassadors. 


6. A roadmap for Public Engagement

This piece of work was led by project partner Noisy Cricket. 

Our project, PEAs in Pods, will empower the Greater Manchester (GM) data science and artificial intelligence (AI) research communities to engage meaningfully with traditionally marginalised communities and embed coproduction methods into individual and institutional research processes and governance.

The theme of our public engagement activities is around AI and data-driven technologies. The need to engage citizens in the research and development of this field is increasingly widely recognised, with benefits including increased public trust and more socially relevant applications. If we want to build trust we must first reach out to citizens, inspire them to get involved and demonstrate that their voices have influence.

What we will do

We will train a cohort of data scientists and AI researchers, known as Public Engagement Ambassadors (PEAs), from three GM universities, then guide and mentor them to work confidently with co-researchers from three traditionally marginalised and digitally excluded groups. Teams will co-produce a set of relevant public engagement events and activities that respond to these community groups' distinct needs, interests, and understandings. Following evaluation, they will then co-develop a set of legacy resources for ongoing community engagement beyond the project under the theme “Data Ethics and AI in a Box.”

This project has received funding from UKRI engineeringand Physical Sciences Research Council (ESPRC) Grant Ref: EP/W033488/1

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