AI Ethics and Compliance Addendum
AI System Disclosure and Transparency
MANDATORY DISCLOSURE: This addendum addresses compliance with emerging AI regulations including the EU AI Act, California AI disclosure requirements, and other jurisdictional AI governance frameworks.
Magicvisor utilizes advanced artificial intelligence and machine learning systems to provide call management services. This addendum details our AI governance, ethical principles, and compliance measures.
Last Updated: 9/8/2026
Effective Date: This addendum is incorporated into our Terms and Conditions
EU AI Act Compliance
Risk Classification
Under the EU AI Act, our systems are classified as “Limited Risk AI” requiring transparency obligations:
- •Clear disclosure that customers are interacting with an AI system
- •Transparency about AI capabilities and limitations
- •Human oversight and intervention capabilities
- •Documentation of AI system operations and decisions
Prohibited AI Practices
Our AI systems are designed to avoid prohibited practices under the EU AI Act:
- •No subliminal or manipulative techniques
- •No exploitation of vulnerable groups
- •No social scoring or mass surveillance
- •No predictive policing based on personal characteristics
AI Ethics Principles
Fairness and Non-Discrimination
- •AI models are trained to avoid discriminatory outcomes
- •Regular bias testing and model auditing
- •Equal service quality across demographic groups
- •Accessibility considerations in AI design
Transparency and Explainability
- •Clear communication about AI involvement
- •Explainable AI decisions where technically feasible
- •Documentation of AI system behavior
- •Regular reporting on AI performance metrics
Human Agency and Oversight
- •Meaningful human control over AI decisions
- •Ability for human intervention in AI processes
- •Training and support for human operators
- •Customer right to request human assistance
Data Governance for AI Systems
Training Data Management
- •AI models are trained on appropriately licensed and ethical datasets
- •Data quality assurance processes for training data
- •Bias detection and mitigation in training datasets
- •Regular model retraining with updated datasets
Personal Data Protection in AI Processing
- •Data minimization principles applied to AI processing
- •Purpose limitation for AI data processing
- •Enhanced privacy protections for sensitive data
- •Right to explanation for automated decision-making
Risk Management and Safety
AI Safety Measures
- •Continuous monitoring of AI system performance
- •Automated safeguards against harmful outputs
- •Incident response procedures for AI failures
- •Regular safety assessments and testing
Error Handling and Correction
- •Mechanisms to identify and correct AI errors
- •User feedback systems for AI improvement
- •Escalation procedures for AI system failures
- •Documentation and learning from AI incidents
Customer Rights Regarding AI
AI Interaction Rights
- •Right to Know: You have the right to know when you are interacting with an AI system
- •Right to Human Review: You can request human review of AI-made decisions
- •Right to Correction: You can request correction of AI errors affecting your service
- •Right to Opt-Out: You may request human-only service where technically feasible
Complaint and Redress Mechanisms
- •Dedicated AI ethics complaint process
- •Independent review of AI-related complaints
- •Remedies for AI-caused harm or discrimination
- •Regular reporting on AI complaint resolution
International AI Compliance
Regional Requirements
- •California SB-1001: Bot disclosure requirements
- •UK AI White Paper: Risk-based governance approach
- •Canada AIDA: Artificial Intelligence and Data Act compliance
- •Australia AI Ethics: Voluntary AI Ethics Framework
Industry Standards
- •ISO/IEC 23053:2022 AI framework
- •IEEE Standards for AI ethics
- •Partnership on AI best practices
- •Responsible AI research standards
Continuous Improvement and Updates
AI technology and regulations continue to evolve rapidly. We commit to:
- •Regular updates to AI governance frameworks
- •Monitoring of emerging AI regulations
- •Stakeholder engagement on AI ethics
- •Transparency reporting on AI system performance
- •Proactive compliance with new AI legislation
Contact and Governance
AI Ethics Officer
For questions about AI ethics, compliance, or to report concerns:
Email: hello@magicdesk.ai
Subject Line: AI Ethics Inquiry
Phone: 517-5234-5551
Response Time: Within 72 hours
AI Governance Committee
Our AI Governance Committee includes representatives from legal, technical, and ethical advisory roles. The committee meets quarterly to review AI practices and update policies based on technological developments and regulatory changes.
This AI Ethics and Compliance Addendum forms an integral part of our Terms and Conditions and Privacy Policy.