To be truly participative, stakeholder involvement should follow an AI system’s entire lifecycle
An OECD analysis argues that meaningful participation in AI governance requires more than one-time consultation, calling instead for community authority and structured oversight spanning an AI system's full lifecycle — from design through deployment and decommissioning.
Why this matters: Without sustained stakeholder involvement, affected communities — including those most vulnerable to algorithmic harm or surveillance — have little recourse once systems are live, leaving rights protections dependent on developer goodwill rather than accountable governance structures.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
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