AI Policy Guide for Animal Advocacy Organizations
Your guide to creating an AI policy for your organization.
Open Paws · April 15, 2026
Why this matters:
82% of nonprofits use AI, but only 10% have policies (Whole Whale)
60% of animal advocates cite lack of technical expertise as the #1 barrier (Faunalytics)
Seven Building Blocks for AI Policy
1. Purpose & Scope
A clear statement of why your organization uses AI and what it will (and won't) do.
Key Considerations
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What specific problems will AI solve?
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Which staff, volunteers, or programs are covered?
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What uses are explicitly NOT allowed?
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How does AI use connect to your mission?
2. Governance & Accountability
Who is responsible for AI decisions, oversight, and policy updates.
Key Considerations
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Who approves new AI tools or uses?
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Who handles AI-related complaints or issues?
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How often will you review and update the policy?
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Small orgs: designate a lead; larger orgs: consider a committee
3. Data Handling & Privacy
Rules for what data AI can access and how it must be protected.
Key Considerations
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What donor/supporter data can be used with which AI tools?
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Do you need consent before using personal data in AI?
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How long is AI-processed data stored?
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Which laws apply (GDPR, state privacy laws)?
Data Sensitivity Tiers
Tier 1: Public
Such as website content, published reports, social media
AI Access Consideration: Generally OK to use with AI tools such as chatGPT?
Tier 2: Internal
Such as campaign plans, strategic documentation
AI Access Consideration: Generally OK to use with AI tools such as chatGPT? Does “training” need to be turned off in settings?
Tier 3: Sensitive
Such as donor names, volunteer lists, payment info, health data, investigation details
AI Access Consideration: Only use secure models (such as local models or end-to-end encrypted models)? Is human review required?
4. Ethics & Risk Management
Standards for fair, accurate, and mission-aligned AI use.
Key Considerations
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How will you check AI outputs for accuracy?
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What biases might affect your work (including speciesism)?
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What happens when AI makes a mistake?
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What error rate might be acceptable for certain tasks?
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Which decisions require human approval (human-in-the-loop)?
5. Transparency & Communication
How you tell supporters, partners, and beneficiaries about AI use.
Key Considerations
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Will you publish your AI policy on your website?
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When must you disclose that AI was used?
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How can supporters ask questions or opt out?
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What updates will you share as AI use evolves?
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What implications does your AI Policy have on your Privacy Policy, if any?
6. Training & Vendor Management
How staff learn to use AI responsibly and how you choose AI tools.
Key Considerations
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What training will staff receive before using AI?
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How do you approve new AI tools?
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What security standards must vendors meet?
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What if a vendor changes their terms or shuts down?
7. Incident Response
Your plan for when something goes wrong with AI.
Key Considerations
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Who do staff contact if AI produces harmful content?
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What steps will you take to fix the problem?
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When and how will you notify affected parties?
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How will you prevent the same issue from happening again?
Animal Advocacy-specific Considerations
Speciesist Bias
Most AI models are trained on data that normalizes animal exploitation. Your policy should:
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Consider review of AI-generated content for speciesist language where applicable
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Consider using animal-aligned tools for advocacy content
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Train staff to identify and correct biased outputs
Welfare Claims Accuracy
AI can generate false or exaggerated welfare claims. Protect your credibility by:
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Requiring fact-checking and citations for all welfare statements
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Using verifiable metrics in reports
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Consider where human expert review before publishing AI-assisted content is needed
Movement Data Sharing
The animal advocacy movement can benefit from shared AI development. Consider:
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What data you can share openly to help train animal-aligned AI
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Protecting coalition partner identities and strategies
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Contributing to open-source animal advocacy AI projects
Global & Cultural Nuance
Animal welfare laws and cultural norms vary widely. Ensure:
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AI translations are reviewed for cultural sensitivity
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Regional legal requirements are followed
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Local experts review AI-generated content for their markets
Implementation Roadmap
Don't try to do everything at once. Follow a phased approach:
Month 1-3: Foundation
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Draft baseline policy using a template
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Form a small working group (include animal welfare expertise)
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Inventory current AI tools and data flows
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Get board approval for policy framework
Month 3-6: Pilot
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Start with a low-risk project (e.g., internal research, data cleaning)
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Define clear success metrics
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Require human review checkpoints
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Begin staff training
Month 6-12: Expand
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Add mission-aligned use case (e.g., donor outreach, impact analysis)
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Implement regular bias and accuracy audits
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Publish your AI policy externally
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Gather feedback from supporters
Ongoing: Maintain
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Review policy at least annually (and after major AI changes)
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Track outcomes and lessons learned
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Stay current on AI developments and regulations
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Share learnings with other advocacy organizations
Quick-Start Checklist
WEEK 1: ASSESS
☐ List all AI tools currently being used by staff
☐ Identify who is using AI and for what purposes
☐ Map what data flows through AI tools
WEEK 2-3: DRAFT
☐ Use Fast Forward Policy Builder to create draft
☐ Add animal advocacy-specific sections
☐ Circulate to working group for input
WEEK 4: APPROVE
☐ Present to leadership/board for approval
☐ Assign governance roles
☐ Schedule first policy review date
MONTH 2+: IMPLEMENT
☐ Train staff on the policy
☐ Launch pilot project with human oversight
☐ Publish policy on website
☐ Set up feedback mechanism for supporters
Resources & Tools
Policy Templates & Builders
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Fast Forward Nonprofit AI Policy Builder - Free interactive tool that generates custom policies.
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ANB Advisory Template - Comprehensive policy template with data sensitivity tiers.
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AI Impact Hub - Provides a free AI starter toolkit with AI Maturity Model Quiz, Introduction to AI eBook, Policy Template
Animal Advocacy-Specific Resources
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Open Paws - We are creating anti-speciesist AI and providing free technical training for animal advocacy organizations.
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Faunalytics: AI And Animal Advocacy - Research summaries on AI in animal advocacy.
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Animal Charity Evaluators: The impacts of AI on animal advocacy - Analysis of how AI affects animal advocacy work.