AI Transparency

1. AI Technology Overview

Othermy uses advanced artificial intelligence to create a digital twin that reflects your personality, communication style, and memories. Our AI system is built on cutting-edge technologies:

• Large Language Models: Powered by OpenAI's GPT-based technology for natural language understanding and generation
• Voice Recognition & Synthesis: Advanced speech-to-text, voice analysis, and voice cloning capabilities
• Image Processing: Computer vision for facial recognition, image analysis, and visual content understanding
• Machine Learning: Continuous learning from your interactions to improve accuracy and personalization
• Sentiment Analysis: Real-time emotional tone detection and contextual understanding
• Memory Systems: Persistent context and knowledge graphs to maintain conversation continuity

2. How We Use AI

2.1 Digital Twin Creation

Our AI analyzes your personal data through a sophisticated calibration process to create a comprehensive profile that includes:

• Personality traits: Communication patterns, tone preferences, emotional expressions
• Knowledge base: Your memories, experiences, stories, and shared information
• Response style: Language patterns, vocabulary choices, conversation flow
• Emotional patterns: Mood tendencies, typical reactions, and behavioral characteristics
• Contextual memory: Important dates, relationships, preferences, and personal details

2.2 Content Generation

The AI generates responses and content designed to authentically reflect your unique voice:

• Text responses: Conversational replies that match your communication style
• Voice synthesis: Audio that mimics your speech patterns, intonation, and vocal characteristics
• Memory recall: Contextual storytelling and recollection of past interactions
• Personalized insights: Recommendations and reflections based on your patterns
• Creative content: AI-generated images, videos, and multimedia reflecting your persona

2.3 Automated Processing Functions

Our AI performs several automated functions:

• Contextual response generation: Real-time conversation replies
• Memory recall and persona personalization: Maintaining continuity across sessions
• High-risk content detection: Identifying potentially harmful or inappropriate content
• Supportive suggestions: Offering emotional support and wellbeing resources
• AI alignment metrics: Measuring response quality and persona accuracy

3. Data Processing for AI

3.1 Input Data

To create your digital twin, our AI processes various types of data:

• Text Data: Messages, stories, journal entries, and written content you provide
• Voice Data: Audio recordings for voice pattern analysis and synthesis training
• Image Data: Photos and videos for visual recognition and persona refinement
• Behavioral Data: Interaction patterns, usage habits, and preference indicators
• Calibration Data: Questionnaire responses, scenario prompts, and tone preferences

3.2 Processing Methods

Our AI employs sophisticated processing techniques:

• Natural Language Processing (NLP): Understanding context, intent, and generating human-like text
• Sentiment Analysis: Detecting emotional tone, mood, and contextual nuance
• Pattern Recognition: Identifying recurring themes, behaviors, and communication styles
• Predictive Modeling: Anticipating likely responses and preferences based on historical data
• Neural Network Training: Refining AI models through supervised and unsupervised learning
• Embedding Generation: Creating vector representations of your communication style

3.3 Data Security in AI Processing

• End-to-end encryption: All data transmitted to AI services is encrypted
• Ephemeral processing: OpenAI processes prompts temporarily without storing them
• No public training: Your data is NEVER used to train publicly available AI models
• Isolated environments: Your AI persona data is segregated from other users
• Access controls: Strict permissions and audit logs for all AI processing operations

4. AI Limitations and Accuracy

5. Your Rights Regarding AI

5.1 Right to Information and Transparency

You have the right to know:

• When AI is being used to generate content or make decisions
• What data is being processed by AI systems
• How AI decisions are made and what factors influence outputs
• What safeguards and human oversight mechanisms are in place
• How your data is used to train or improve AI models

5.2 Right to Control and Opt-Out

You can:

• Disable AI learning: Prevent your interactions from refining the AI persona
• Delete AI-generated content: Remove conversation history and generated materials
• Adjust personalization settings: Control tone, style, and behavior preferences
• Export your data: Request a copy of all AI-processed information in portable format
• Opt out of specific processing: Limit or prevent certain types of AI analysis

5.3 Right to Explanation

You may request an intelligible explanation of:

• Why a specific AI response was generated
• What data influenced a particular output
• The primary logic and factors behind AI decisions
• Confidence levels and uncertainty indicators

Contact privacy@othermy.com to request explanations or exercise your AI-related rights.

5.4 Right to Human Review

You have the right to request human review of AI-generated content, especially for:

• Important decisions or sensitive matters
• Disputed or questionable AI outputs
• Content flagged by safety systems
• Appeals regarding content moderation decisions

6. Responsible AI Program

6.1 Governance and Oversight

We maintain a cross-functional Privacy & AI Governance Council that:

• Reviews policy updates and regulatory developments
• Oversees independent audits and ethical reviews
• Ensures alignment with AI Bill of Rights principles
• Monitors fairness, safety, and transparency metrics
• Coordinates incident response and remediation efforts

6.2 Safety and Risk Management

Our Responsible AI program includes:

• Quarterly fairness reviews: Evaluating AI outputs for bias and discrimination
• Penetration tests of safety filters: Validating content moderation effectiveness
• Red-teaming exercises: Simulating adversarial attacks and edge cases
• Bias mitigation experiments: Testing and implementing fairness improvements
• Transparency documentation: Maintaining records for regulatory compliance
• Impact assessments: Evaluating AI risks under EU AI Act and GDPR

7. Bias and Fairness

7.1 Bias Mitigation Strategies

We actively work to reduce bias in our AI systems through:

• Diverse training data: Ensuring representation across demographics, cultures, and perspectives
• Regular bias audits: Systematic testing for discriminatory patterns
• Inclusive design principles: Considering diverse user needs in feature development
• User feedback integration: Incorporating reports of biased or inappropriate outputs
• Algorithmic fairness metrics: Measuring and tracking equity across user groups
• Continuous monitoring: Real-time detection of emergent bias patterns

7.2 Fairness Commitments

Our AI systems are designed to treat all users fairly and equitably, regardless of:

• Race, ethnicity, or cultural background
• Gender identity or sexual orientation
• Age or disability status
• Religious or political beliefs
• Socioeconomic status or geographic location
• Language or communication style

8. Third-Party AI Services

8.1 OpenAI Integration

We use OpenAI's GPT-based APIs for conversational AI with the following safeguards:

• Enterprise agreements: Data processing contracts ensure your privacy protection
• No public training: OpenAI contractually commits NOT to train on our enterprise traffic
• Ephemeral processing: Your prompts are processed temporarily and not stored by OpenAI
• Encryption in transit: All API calls are encrypted with TLS 1.3
• Usage monitoring: We track API performance, accuracy, and safety metrics

8.2 Your Control Over Third-Party Processing

You may:

• Opt out of third-party AI processing (may limit certain features)
• Request details about which third parties process your data
• Review our Data Processor Register upon request

9. AI Safety and Security

9.1 Content Safety Measures

We implement multiple layers of safety controls:

• Content filtering: Automated detection of harmful, hateful, or inappropriate content
• Self-harm prevention: Proactive identification of crisis indicators with referral to support resources
• Hate speech detection: Real-time blocking of discriminatory or abusive language
• Misinformation mitigation: Fact-checking and source verification where applicable
• User safety monitoring: Anomaly detection for concerning behavioral patterns
• Emergency response procedures: Escalation pathways for critical situations

9.2 Security Protocols

Your AI data is protected through:

• End-to-end encryption: AES-256 encryption at rest, TLS 1.3 in transit
• Secure data transmission: Encrypted API calls and zero-trust architecture
• Access controls: Role-based permissions and multi-factor authentication
• Regular security audits: Independent penetration testing and vulnerability assessments
• Incident response plan: Documented procedures for breach detection and remediation

10. Compliance with AI Regulations

10.1 EU Artificial Intelligence Act (AI Act)

Othermy complies with the EU AI Act's requirements for high-risk AI systems:

• Risk assessment: Annual AI impact assessments and risk categorization
• Transparency obligations: Clear disclosure of AI use and capabilities
• Human oversight: Mechanisms for human review and intervention
• Documentation: Technical documentation and conformity assessments
• Quality management: Systematic monitoring and improvement processes

10.2 US AI Bill of Rights

We align with the White House AI Bill of Rights principles:

• Safe and effective systems: Rigorous testing, validation, and ongoing monitoring
• Algorithmic discrimination protections: Proactive bias detection and mitigation
• Data privacy: Strong data protection and user control mechanisms
• Notice and explanation: Clear communication about AI use and decision logic
• Human alternatives: Options for human review and support escalation

10.3 GDPR and Data Protection

AI processing complies with GDPR requirements:

• Lawful basis for processing (consent, legitimate interest, contract)
• Data minimization and purpose limitation
• Right to explanation for automated decisions
• Right to object to automated processing
• Data Protection Impact Assessments (DPIAs) for high-risk processing

11. Explainable AI (XAI)

11.1 How We Provide Explanations

When you request an explanation for AI-generated content, we provide:

• Input factors: Which of your data points influenced the response
• Decision rationale: The primary logic and reasoning behind the output
• Confidence scores: How certain the AI is about its response
• Alternative interpretations: Other possible responses considered
• Data sources: What memories or context informed the generation

11.2 Limitations of Explainability

Due to the complex nature of neural networks, explanations may be:

• Approximate rather than precise
• Based on interpretability methods rather than exact causal chains
• Subject to ongoing research and improvement

12. Future AI Developments

As AI technology evolves, we commit to:

• Transparency: Keeping you informed of new AI capabilities and features
• Updated disclosures: Revising this statement to reflect material changes
• Enhanced controls: Providing new options for managing AI behavior
• Privacy by design: Maintaining data protection as AI systems evolve
• Regulatory compliance: Adapting to new AI laws and best practices
• Ethical leadership: Participating in industry efforts to promote responsible AI