  The widespread adoption of Artificial Intelligence (AI) technologies in the
public and private sectors has resulted in them significantly impacting the
lives of people in new and unexpected ways. In this context, it becomes
important to inquire how their design, development and deployment takes place.
Upon this inquiry, it is seen that persons who will be impacted by the
deployment of these systems have little to no say in how they are developed.
Seeing this as a lacuna, this research study advances the premise that a
participatory approach is beneficial (both practically and normatively) to
building and using more responsible, safe, and human-centric AI systems.
Normatively, it enhances the fairness of the process and empowers citizens in
voicing concerns to systems that may heavily impact their lives. Practically,
it provides developers with new avenues of information which will be beneficial
to them in improving the quality of the AI algorithm. The paper advances this
argument first, by describing the life cycle of an AI system; second, by
identifying criteria which may be used to identify relevant stakeholders for a
participatory exercise; and third, by mapping relevant stakeholders to
different stages of AI lifecycle. This paper forms the first part of a two-part
series on participatory governance in AI. The second paper will expand upon and
concretise the principles developed in this paper and apply the same to actual
use cases of AI systems.
