Secondary Stakeholders in AI: Fighting for, Brokering, and Navigating Agency
Ajmani, Leah Hope, Abdelkadir, Nuredin Ali, Chancellor, Stevie
–arXiv.org Artificial Intelligence
As AI technologies become more human-facing, there have been numerous calls to adapt participatory approaches to AI development -- spurring the idea of participatory AI. However, these calls often focus only on primary stakeholders, such as end-users, and not secondary stakeholders. This paper seeks to translate the ideals of participatory AI to a broader population of secondary AI stakeholders through semi-structured interviews. We theorize that meaningful participation involves three participatory ideals: (1) informedness, (2) consent, and (3) agency. We also explore how secondary stakeholders realize these ideals by traversing a complicated problem space. Like walking up the rungs of a ladder, these ideals build on one another. We introduce three stakeholder archetypes: the reluctant data contributor, the unsupported activist, and the well-intentioned practitioner, who must navigate systemic barriers to achieving agentic AI relationships. We envision an AI future where secondary stakeholders are able to meaningfully participate with the AI systems they influence and are influenced by.
arXiv.org Artificial Intelligence
Jun-10-2025
- Country:
- Asia
- Japan > Honshū
- Chūbu > Toyama Prefecture
- Toyama (0.04)
- Kantō > Kanagawa Prefecture
- Yokohama (0.04)
- Chūbu > Toyama Prefecture
- Sri Lanka > Central Province
- Kandy District > Kandy (0.04)
- Japan > Honshū
- Europe
- Greece > Attica
- Athens (0.05)
- United Kingdom > England
- Cambridgeshire > Cambridge (0.14)
- Greater London > London (0.04)
- Greece > Attica
- North America
- Cuba (0.04)
- United States
- Minnesota > Hennepin County
- Minneapolis (0.28)
- New York > New York County
- New York City (0.07)
- Virginia (0.04)
- Washington > King County
- Seattle (0.04)
- Minnesota > Hennepin County
- Asia
- Genre:
- Questionnaire & Opinion Survey (1.00)
- Research Report > New Finding (0.93)
- Industry:
- Government > Regional Government (0.46)
- Health & Medicine (0.94)
- Information Technology (0.68)
- Law (0.93)
- Social Sector (0.93)
- Technology:
- Information Technology
- Artificial Intelligence
- Issues > Social & Ethical Issues (1.00)
- Machine Learning (1.00)
- Natural Language (0.67)
- Communications > Social Media (1.00)
- Artificial Intelligence
- Information Technology