Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Empowering Local Communities Using Artificial Intelligence   Artificial Intelligence (AI) is increasingly used to analyze large amounts of
data in various practices, such as object recognition. We are specifically
interested in using AI-powered systems to engage local communities in
developing plans or solutions for pressing societal and environmental concerns.
Such local contexts often involve multiple stakeholders with different and even
contradictory agendas, resulting in mismatched expectations of these systems'
behaviors and desired outcomes. There is a need to investigate if AI models and
pipelines can work as expected in different contexts through co-creation and
field deployment. Based on case studies in co-creating AI-powered systems with
local people, we explain challenges that require more attention and provide
viable paths to bridge AI research with citizen needs. We advocate for
developing new collaboration approaches and mindsets that are needed to
co-create AI-powered systems in multi-stakeholder contexts to address local
concerns.

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The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
33
The categories of this paper are: plasm-ph
19
The categories of this paper are: eess
32
The categories of this paper are: atom-ph
26
The categories of this paper are: bayes-an
16
The categories of this paper are: stat
35
The categories of this paper are: mtrl-th
23
The categories of this paper are: solv-int
11
The categories of this paper are: hep-lat
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio
6
The categories of this paper are: astro-ph
34
The categories of this paper are: chem-ph
14
The categories of this paper are: math-ph
4
The categories of this paper are: cond-mat