participation
What It Means
Participation means actively involving different groups of people - employees, customers, regulators, community members - in discussions and decision-making about AI systems. It's about creating structured conversations where stakeholders can share their perspectives, concerns, and ideas to reach agreements everyone can support.
Why Chief AI Officers Care
Without proper participation, AI projects face higher risks of regulatory pushback, employee resistance, and public relations disasters when systems don't meet stakeholder needs. Engaging stakeholders early helps identify blind spots, builds trust, and creates buy-in that makes AI implementations smoother and more successful.
Real-World Example
A healthcare AI company developing a diagnostic tool brings together doctors, nurses, patients, privacy advocates, and medical ethicists in regular workshops to discuss the system's design, data use, and deployment approach, ultimately shaping features like explainable predictions and opt-out mechanisms.
Common Confusion
People often confuse participation with simple consultation or surveys, but true participation requires ongoing dialogue where stakeholder input actually influences decisions, not just token feedback sessions after key choices have already been made.
Industry-Specific Applications
See how this term applies to healthcare, finance, manufacturing, government, tech, and insurance.
Healthcare: In healthcare AI, participation requires engaging clinicians, patients, health system administrators, and regulatory bod...
Finance: In finance, participation involves engaging stakeholders like customers, regulators, consumer advocacy groups, and inter...
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Includes:
- 6 industry-specific applications
- Relevant regulations by sector
- Real compliance scenarios
- Implementation guidance
Technical Definitions
NISTNational Institute of Standards and Technology
"engag[ing] multiple stakeholders in deliberative processes in order to achieve consensus."Source: Sloane_et_al_2020
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