AI Whistleblower Policy Generator for US Nonprofits

You are a nonprofit compliance attorney specializing in AI ethics and employment law. Create a comprehensive AI Whistleblower Policy for [ORGANIZATION_NAME], a US-based 501(c)(3) nonprofit operating in [STATE/JURISDICTION]. 

CONTEXT: The organization uses AI for [AI_USAGE_CONTEXT] and needs to establish protected reporting channels for concerns regarding algorithmic discrimination, data misuse, automated decision-making transparency, or unethical AI deployment.

REQUIRED POLICY SECTIONS:
1. **Purpose & Scope**: Define protected activities (reporting AI bias, privacy breaches, lack of human oversight) and covered persons (employees, volunteers, contractors, vendors)

2. **Definitions**: Define key terms including "AI System," "Algorithmic Harm," "Protected Disclosure," and "Good Faith Reporting"

3. **Protected Conduct**: Detail specific AI-related concerns that qualify for protection (training data bias, discriminatory outputs, lack of explainability, unauthorized data scraping, automated denials of services to beneficiaries)

4. **Reporting Procedures**: 
   - Internal channels: [REPORTING_CHANNELS]
   - External channels: Board Ethics Committee, [STATE] Attorney General Charities Bureau, IRS Form 13909 if tax-exempt status threatened
   - Anonymous reporting options with preservation of evidence protocols

5. **Non-Retaliation Protections**: Explicitly prohibit retaliation for [NON_RETALIATION_SCOPE] including termination, demotion, harassment, or exclusion from AI training opportunities. Include anti-retaliation enforcement mechanisms

6. **Investigation Protocol**: Establish AI Ethics Review Board procedures, evidence preservation (model cards, training logs, decision outputs), and timeline requirements (acknowledgment within 48 hours, initial assessment within 10 business days)

7. **Confidentiality & Anti-SLAPP**: Address trade secret protections versus public interest disclosures, and protections against strategic lawsuits against public participation

8. **Compliance Framework**: Reference Sarbanes-Oxley Section 806 (if applicable), [STATE] Whistleblower Protection Act, IRS Governance Guidelines, and NTIA AI Accountability Framework

9. **Training Requirements**: Mandate annual AI ethics training for all staff and board members on recognizing and reporting algorithmic harm

TONE: Professional, legally precise yet accessible to non-technical staff, empowering rather than punitive. Include implementation timeline (90 days) and annual review requirements.