Serve AI Ethics Readiness Assessment
Evaluate how well your organization or project aligns with key Serve AI Ethics principles.
How It Works
This checklist helps you reflect on your AI use, identify risks, and surface areas for improvement. It's not a score — it's a conversation starter.
Governance & Policy
- Do you have a written Serve AI Ethics or governance policy?
- Is there clear oversight for AI decisions or failures?
- Is AI development aligned with your mission or community goals?
Bias & Fairness
- Have you tested your model for bias across race, gender, or class?
- Are your training datasets representative and inclusive?
- Do you have a process for reporting and correcting unfair outcomes?
Transparency & Explainability
- Can you explain what your AI system does and how?
- Do end users know when they're interacting with AI?
- Do you document model limitations and intended uses?
Data Privacy & Consent
- Is personal data collected and used with explicit consent?
- Do you minimize what data you collect (data minimization)?
- Are security, access controls, and deletion policies in place?
Sustainability
- Do you track the energy or emissions from AI model training?
- Are you using energy-efficient models where possible?
- Are your servers powered by renewable energy or offsets?
Accountability
- Who is responsible when something goes wrong?
- Is there a process for user complaints or redress?
- Do you review and audit AI systems regularly?
Community Impact
- Have you involved the people affected by your AI systems?
- Are AI tools designed to be accessible and inclusive?
- Do you track potential harms or benefits across groups?
What's Next?
Use your reflections to:
- Update your governance policy
- Create a community feedback loop
- Shift to more sustainable infrastructure
- Make AI decisions clearer to users