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1. Purpose and Scope
Objective: Establish rules, responsibilities, and ethical principles for using the AI Memory Vault app. Ensure safe storage, retrieval, and use of personal memories, data, and AI-generated insights.
Scope: Applies to all users, administrators, contractors, and developers interacting with the app. Covers AI-generated summarizations, content tagging, memory analytics, and agentic AI features.
2. Definitions
AI Memory Vault: A digital application that stores, indexes, and recalls personal memories using generative AI capabilities.
Generative AI: Machine learning models able to produce text, images, or structured outputs based on user input.
Sensitive Data: Personally identifiable information (PII), confidential communications, audio/video memory recordings, or health-related information.
Agentic AI: AI tools capable of autonomously performing multi-step actions on behalf of users, such as scheduling tasks or sharing content.
3. Acceptable and Prohibited Uses
Acceptable Uses:
Organizing and retrieving user memories.
Generating summaries or timelines of personal events.
Suggesting memory prompts or insights while preserving privacy.
Assisting in accessibility tasks (captioning, memory indexing).
Prohibited Uses:
Sharing memories without explicit consent.
Using AI to impersonate others or generate misleading content.
Uploading third-party copyrighted material without permission.
Inputting sensitive or confidential information from others without consent.
4. Data Privacy and Security
All sensitive data must be encrypted in transit and at rest.
Memory data should be retained only as per user consent and legal requirements.
No user data may be shared with third parties for AI training without explicit consent.
Data should be anonymized when used for internal AI model optimization.
Admins must regularly review access logs and audit AI system usage.
5. Ethical Principles
Transparency: Users will be informed when AI is used to summarize or analyze memories.
Consent: Explicit consent must be obtained before processing sensitive or personal data.
Fairness: AI must avoid introducing bias in memory suggestions or categorization.
Non-discrimination: Outputs must not misrepresent or marginalize particular groups or communities.
6. Human Oversight
All AI-generated outputs must have human validation for accuracy, especially for sensitive or critical memory content.
Any automatic sharing by agentic tools must require prior user approval.
Clear escalation procedures for reported inaccuracies or AI misbehaviors.
7. Accountability and Governance
Designate AI Project Owner responsible for policy adherence.
Maintain audit logs for AI usage, including model versions and data processing history.
Users can review, delete, or export their memory data under the app’s data controller policies.
8. Risk Management
Conduct quarterly assessments for security, bias, and privacy compliance.
Identify potential AI misbehavior scenarios, such as hallucinated memories or unauthorized sharing.
Maintain an incident response team to address AI-related issues promptly.
9. Training and Awareness
Provide training modules for staff and developers on ethical AI use, privacy protection, and bias mitigation.
Include guidance for users on safe AI interaction, highlighting data input safety and limitations of AI-generated suggestions.
10. Legal Compliance
Comply with local and global data protection laws.
Respect copyright, intellectual property, and consent requirements for memories involving third parties.
Ensure AI-generated outputs do not result in defamation, privacy violations, or harmful disclosure.
11. Policy Review and Updates
Review the AI Memory Vault policy every 6–12 months.
Update to reflect emerging AI models, agentic features, regulatory changes, or feedback from users.
Document changes and communicate to all stakeholders to maintain informed consent and staff compliance.
For any queries mail to "Info@aimlintegrateddatasolutions.co