Going public: the role of public participation approaches in commercial
AI labs
- URL: http://arxiv.org/abs/2306.09871v1
- Date: Fri, 16 Jun 2023 14:34:28 GMT
- Title: Going public: the role of public participation approaches in commercial
AI labs
- Authors: Lara Groves, Aidan Peppin, Andrew Strait, Jenny Brennan
- Abstract summary: There is a dearth of evidence on attitudes to and approaches for participation in the sites driving major AI developments.
This paper explores how commercial AI labs understand participatory AI approaches and the obstacles they have faced implementing these practices.
- Score: 0.17205106391379024
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: In recent years, discussions of responsible AI practices have seen growing
support for "participatory AI" approaches, intended to involve members of the
public in the design and development of AI systems. Prior research has
identified a lack of standardised methods or approaches for how to use
participatory approaches in the AI development process. At present, there is a
dearth of evidence on attitudes to and approaches for participation in the
sites driving major AI developments: commercial AI labs. Through 12
semi-structured interviews with industry practitioners and subject-matter
experts, this paper explores how commercial AI labs understand participatory AI
approaches and the obstacles they have faced implementing these practices in
the development of AI systems and research. We find that while interviewees
view participation as a normative project that helps achieve "societally
beneficial" AI systems, practitioners face numerous barriers to embedding
participatory approaches in their companies: participation is expensive and
resource intensive, it is "atomised" within companies, there is concern about
exploitation, there is no incentive to be transparent about its adoption, and
it is complicated by a lack of clear context. These barriers result in a
piecemeal approach to participation that confers no decision-making power to
participants and has little ongoing impact for AI labs. This papers
contribution is to provide novel empirical research on the implementation of
public participation in commercial AI labs, and shed light on the current
challenges of using participatory approaches in this context.
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