Cities are increasingly embedded with sensors of many kinds, and these sensor networks typically use forms of AI and algorithmic decision-making. AI is recognised as having impacts on ethics, privacy and inclusion in cities. The literature on AI and specifically AI literacy is growing rapidly and demonstrates the role that AI literacy plays in shaping not only how these technologies are understood, including their social and economic impacts, but also citizens' trust in AI and governance. One of the core concerns when it comes to smart cities and communities is that, despite the abundance of data, many marginalised social groups are susceptible to technological invisibility.
Research examining the deployment of AI in cities and communities highlights a range of social benefits but has not sufficiently addressed the varying impacts on different social groups. One of the primary concerns regarding smart cities and communities is that, despite the abundance of data, many marginalised social groups are vulnerable to technological invisibility. A further concern arises regarding citizens' data once it is collected and how that data will be utilised. The goal of this review on interventions is not only to identify AI literacy interventions that are effective and targeted to specific social groups, but also to highlight gaps in terms of marginalised populations whose AI literacy may be low. In order to do this, we will engage in knowledge mobilisation targeted at policy makers, NGOs, cities and the general public.