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Next: Use Case: Study of (New) Market Needs
This section outlines best practices that apply across all use cases and prioritized when designing stakeholder engagement strategies. For each “best practice,” there is a countervailing “guardrail” that explains inverse practices that are likely to cause harm to Participants and undermine ethical stakeholder engagement values. Considered against the “Analytic Framework for Understanding AI Stakeholder Engagement Strategies, you should be able to distinguish between stakeholder engagement approaches that bring tech companies in closer alignment with marginalized community needs, as opposed to further from those needs (in the direction of potentially causing additional harm).
The following sections provide examples (generalized from real situations reported publicly or from situations known to Task Force members) of both stakeholder engagement strategies and practices that are aligned with the stakeholder community’s mutual interest and benefit and those that are misaligned, including situations where the intention was to work collaboratively with stakeholders. They are broken out by different common situations where commercial AI development teams might seek stakeholder input: