Code of Ethical AI Use

1. Transparency & Disclosure

1.1 AI-Generated Content

When deploying your Personnn, you commit to:

• ✅ Clearly label AI-generated content when it could be mistaken for human-created
• ✅ Disclose the use of AI in customer-facing applications
• ✅ Provide users with the ability to identify AI interactions
• ✅ Be transparent about model limitations and potential errors

1.2 Model Capabilities & Limitations

You agree to honestly represent:

• • What your Personnn can and cannot do
• • Known biases or limitations in training data
• • Accuracy rates and error margins (when applicable)
• • Appropriate and inappropriate use cases

2. Privacy, Consent & Data Protection

2.1 User Privacy

When your Personnn processes user data, you must:

• ✅ Obtain explicit consent before collecting personal data
• ✅ Implement appropriate data protection measures (encryption, access controls)
• ✅ Comply with GDPR, CCPA, and applicable privacy regulations
• ✅ Provide users with data access, correction, and deletion rights
• ✅ Never use personal data for unauthorized training or fine-tuning

2.2 Training Data Ethics

3. Fairness, Bias & Non-Discrimination

3.1 Bias Mitigation

You commit to actively work to:

• ✅ Identify and mitigate biases in training data
• ✅ Test model outputs for discriminatory patterns
• ✅ Implement safeguards against harmful stereotypes
• ✅ Regularly audit model behavior across diverse user groups

3.2 Protected Characteristics

Your Personnn must not discriminate based on:

4. Safety & Harm Prevention

4.1 Prohibited Applications

4.2 High-Risk Use Cases

If deploying in high-risk domains (healthcare, finance, legal, employment), you must:

• ✅ Implement human-in-the-loop oversight
• ✅ Conduct thorough risk assessments
• ✅ Maintain audit logs and decision trails
• ✅ Comply with domain-specific regulations (HIPAA, SOC2, etc.)
• ✅ Provide clear appeal mechanisms for automated decisions

5. Accountability & Responsibility

5.1 Your Responsibilities

As the creator and deployer of your Personnn, you are responsible for:

• • All outputs and their consequences
• • Monitoring and maintaining model behavior
• • Responding to user complaints and concerns
• • Implementing safety measures and content filters
• • Complying with all applicable laws and regulations

5.2 Incident Response

If your Personnn causes harm or violates this code, you must:

• 1. Immediately suspend the problematic deployment
• 2. Investigate the root cause
• 3. Notify affected users (if applicable)
• 4. Implement corrective measures
• 5. Report serious incidents to [email protected]

6. Environmental Responsibility

We encourage responsible AI development that considers environmental impact:

• ✅ Optimize model efficiency to reduce computational waste
• ✅ Consider carbon footprint when choosing deployment infrastructure
• ✅ Use energy-efficient inference methods when possible
• ✅ Document and report energy consumption for large-scale deployments

7. Continuous Improvement

7.1 Ongoing Monitoring

Ethical AI deployment is not a one-time effort. You commit to:

• ✅ Regularly review model outputs for emerging issues
• ✅ Update safety measures as new risks are identified
• ✅ Stay informed about AI ethics best practices
• ✅ Engage with user feedback and concerns

7.2 Community Engagement

We encourage you to:

• • Share learnings and best practices with the community
• • Participate in responsible AI discussions
• • Report vulnerabilities or ethical concerns
• • Contribute to improving AI safety standards

8. Enforcement & Reporting

8.1 Reporting Violations

If you witness violations of this code, please report to:

8.2 Consequences

Violations of this code may result in:

• • Warning and required corrective action (30-day cure period)
• • Suspension of PersonnnOS access
• • Termination of commercial license
• • Legal action for severe violations
• • Cooperation with law enforcement when required

9. Alignment with Regulations

This Code of Ethics aligns with:

10. Updates to This Code

We may update this Code of Ethics to reflect:

• • New regulatory requirements
• • Emerging ethical considerations
• • Community feedback and best practices
• • Technological advancements

Updates will be announced with 30 days notice via email and in-app notification.