AI Ethics Framework

Responsible AI by Design

At Myraxis, ethical AI development isn't just a checkbox—it's in our DNA. Our comprehensive framework ensures that every agent we create upholds the highest standards of fairness, transparency, privacy, accountability, safety, and human-centered design.

91
Ethics Score
ISO/IEC 42001
AI Management Certified
EU AI Act
Compliance Ready

Ethics Performance Metrics

Our AI systems undergo rigorous ethical evaluations across six key dimensions. This radar chart shows our current performance metrics, which we continuously work to improve through regular audits, external verification, and stakeholder feedback.

Continuous Improvement

Our metrics are updated quarterly, with explicit targets for each dimension

External Verification

All scores validated by independent third-party auditing organizations

Stakeholder Input

Ethics metrics reflect feedback from diverse user groups and communities

Our AI Ethics Principles

92
Fairness

Ensuring AI systems are designed and tested to avoid unfair bias based on protected characteristics.

Implementation Practices:
Regular fairness audits across models
Diverse training data collection standards
Demographic performance parity testing
Bias detection and mitigation techniques
88
Transparency

Making AI decision-making understandable to users, developers, and stakeholders.

Implementation Practices:
Model cards for all deployed agents
Clear documentation of data sources and limitations
Explainability interfaces for key decisions
Confidence metrics with all outputs
94
Privacy

Protecting user data and respecting privacy preferences throughout the AI lifecycle.

Implementation Practices:
Data minimization by design
Differential privacy implementation
Secure multi-party computation options
User-controlled data sharing settings
90
Accountability

Taking responsibility for AI system outputs and establishing clear governance.

Implementation Practices:
Human oversight for high-risk decisions
Comprehensive audit logging system
Clear escalation paths for issues
Regular third-party verification
95
Safety

Ensuring AI systems operate reliably, securely, and as intended, even under unexpected conditions.

Implementation Practices:
Adversarial testing program
Robust red team exercises
Safety-critical guardrails
Continuous monitoring for drift
Human-Centered

Designing AI to augment human capabilities while respecting human autonomy and dignity.

Implementation Practices:
Human-in-the-loop design patterns
User feedback integration systems
Cognitive workload optimization
Accessible and inclusive interfaces

AI Ethics Governance

Oversight Mechanisms

Our multi-layered oversight structure ensures ethical considerations are incorporated at every stage of AI development and deployment.

Ethics Committee

Cross-functional team of experts that reviews new AI systems and use cases.

External Advisors

Independent ethics specialists who provide perspective on challenging issues.

Regulatory Compliance Team

Group responsible for ensuring adherence to AI regulations globally.

Ethics Processes

Our systematic approach integrates ethical considerations throughout the AI lifecycle from design to retirement.

Ethics by Design

Ethical considerations integrated into the development lifecycle from conception.

Impact Assessments

Formal evaluations of potential societal and ethical impacts before deployment.

Continuous Auditing

Regular testing of systems against fairness, safety, and quality metrics.

Learn More About Our Ethics Framework

For a more detailed view of our AI ethics approach, download our complete ethics framework document or contact our ethics team.

Download Framework Contact Ethics Team