1. Purpose & Scope
This policy establishes the ethical and operational principles guiding the design, deployment, and use of the LovingIs AI. It applies to all stakeholders, including developers, partners, and end users, ensuring the system is trustworthy, safe, and aligned with human values. 
2. Guiding Principles

• Human-Centered: Protect human dignity, rights, and diversity. 

• Do No Harm: Actively prevent harmful, manipulative, or exploitative uses. 

• Privacy by Design: Embed privacy safeguards at every stage. 

• Transparency & Explainability: Communicate clearly how outputs are generated. 

• Accountability: Assign responsibility for governance, audits, and oversight. 

• Continuous Learning: Adapt policies in response to evolving risks and societal expectations. 

3. Risk-Based Governance

• Risk Classification: Model use cases are classified as minimal, limited, or high-risk. Prohibited “unacceptable risk” practices include social scoring, deepfake misuse, or surveillance without consent. 

• Human Oversight: All high-risk use cases require human-in-the-loop decision-making. 

• Impact Assessments: Regular AI Impact Assessments (AIIAs) and privacy impact assessments (DPIAs) must be conducted. 

• Incident Reporting: Mechanisms are in place for reporting misuse, bias, or harm. 

4. Privacy & Data Protection (aligned with privacy policy) 

• Data Minimization: Collect only necessary data; no persistent storage of personal data unless explicitly consented. 

• User Consent: Transparent opt-in/opt-out for data usage. 

• Anonymization & PETs: Apply differential privacy, federated learning, and encryption to protect data. 

• End-to-End Security: Secure infrastructure and encrypted communications protect model inputs and outputs. 

• Right to Be Forgotten: Honor user requests to delete associated data, where applicable. 

5. Safety & Security Engineering

• Robustness Testing: Continuous red-teaming to identify bias, safety, or security vulnerabilities. 

• Safe Autonomy: Safeguards ensure the model does not take autonomous actions without explicit authorization. 

• Open-Source Guardrails (if applicable): Provenance tracking, tiered access, and accountability mechanisms for any released components. 

• Auditability: Maintain logs for independent review while protecting user privacy. 

6. Acceptable & Prohibited Use
Acceptable Uses: 

• Creative expression, learning, and productivity support 

• Emotional well-being assistance within safe, transparent boundaries 

• Research, education, and accessible communication 

Prohibited Uses: 

• Generating or spreading hate, violence, harassment, or disinformation 

• Manipulative or coercive practices (e.g., political or financial exploitation) 

• Unauthorized surveillance, profiling, or monitoring 

• Use in medical, legal, or other sensitive domains without licensed oversight 

7. Intellectual Property & Ownership

• Users retain rights to their own inputs and may use generated outputs under permissive license, subject to compliance with this policy. 

• Training data will not infringe intellectual property rights and will be sourced responsibly.

8. Monitoring, Enforcement & Accountability 

• Governance Board: An independent ethics and safety review board oversees compliance. 

• Audits: Regular internal and third-party audits to verify adherence. 

• Reporting Channels: Accessible channels for reporting harm, misuse, or violations. 

• Enforcement Actions: Violations may result in suspension, termination, or legal action. 

9. Review & Updates 
This policy will be reviewed annually, or sooner if required by changes in law, technology, or societal norms. Updates will be transparent, with version histories made publicly available.