December 18, 2023

A vast body of knowledge about community engagement praxis exists. Guidelines and frameworks are updated and operationalised by practitioners from many disciplines including community cultural development, community arts, social work, social sciences, architecture, and public health. However, this vital element is largely neglected in the AI ecosystem although many AI projects would benefit from considered attention to community engagement. For instance, in the health sector, AI and advanced analytics implementation in primary care should be a collaborative effort that involves patients and communities from diverse social, cultural, and economic backgrounds in an intentional and meaningful manner. A Community Engagement Manager role could be introduced who would work with impacted communities throughout the AI-LC and for a fixed period post-deployment. Reciprocal and respectful relationships with impacted communities should be nurtured, and community expectations about both the engagement and the AI system should be defined and attended to. If impacted communities contain diverse language, ethnic, and cultural cohorts a Community Engagement Team from minority groups would be more appropriate. One role would be to develop tailored critical AI literacy programs for example. Organisations must put “the voices and experiences of those most marginalized at the centre” when implementing community engagement outcomes in an AI project.

November 24, 2023

New or emergent stakeholder cohorts should participate in system monitoring and retraining. Stakeholders should be involved in a final review and sign-off, particularly if their input propelled significant changes in design or development processes. After validation, teams should obtain informed consent on the developed product features from impacted stakeholders, to track and respond to the […]

November 24, 2023

A project owner (individual or organisation) with suitable expertise and resources to manage an AI system project should be identified, ensuring that accountability mechanisms to counter potential harm are built in. It should be decided which other stakeholders will be involved in the system’s development and regulation. Both intended and unintended impacts that the AI […]