Research & Policy
At Complear, we actively contribute to research and policy initiatives that shape the future of healthcare technology, with a focus on trustworthy AI, health data privacy, regulatory pathways, and digital transformation.
Trustworthy AI
At Complear, we actively contribute to trustworthy AI policy initiatives that ensure AI systems used in healthcare meet the highest standards of reliability and transparency.
Ethical AI Principles
Advocating for fundamental principles including human oversight, transparency, fairness, and accountability in AI systems.
AI Governance Models
Research on effective governance models that allow innovation while maintaining ethical standards and regulatory compliance.
Explainable AI Research
Joint research on explainability for machine learning models used in healthcare, balancing interpretability and performance.
Current Initiatives
AI Risk Assessment Frameworks
Contributing to frameworks for risk assessment and classification of healthcare AI applications.
Multi-stakeholder Governance
Participating in multi-stakeholder discussions on governance, monitoring and evaluation of AI in medical settings.
Bias Detection & Mitigation
Research on bias detection and mitigation methodologies specifically tailored for healthcare AI systems.
Interested in Our Research?
Contact us to learn about our research initiatives or explore collaboration opportunities in your area of interest.
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