At AverCare, we believe Artificial Intelligence (AI) has the potential to improve healthcare accessibility, enhance patient engagement, support preventive health initiatives, and empower individuals to make more informed health decisions.
We are committed to developing, deploying, and managing AI technologies responsibly, ethically, safely, and transparently.
Our Responsible AI Framework establishes the principles, governance structures, safeguards, and oversight mechanisms that guide the use of AI across the AverCare ecosystem, including our mobile applications, wearable technologies, health coaching services, educational resources, and AI-assisted healthcare solutions.
2. HOW AVERCARE USES AI
Artificial Intelligence may be used within the AverCare ecosystem to support:
Health education
Wellness coaching
Preventive healthcare
Personalized health insights
Health monitoring
Wearable device analytics
Health trend analysis
Risk assessments
Clinical decision support
Personalized wellness experiences
User engagement services
AI is designed to support users and healthcare professionals and is not intended to replace qualified healthcare providers.
3. OUR RESPONSIBLE AI PRINCIPLES
3.1 Human-Centered AI
Artificial Intelligence should enhance human capabilities, not replace them.
We design AI systems to support users, healthcare professionals, and caregivers while preserving human autonomy and decision-making authority.
3.2 Patient Safety First
Patient safety is our highest priority.
AI systems are developed and operated with safeguards intended to reduce risks and support safe and responsible healthcare outcomes.
3.3 Human Oversight
AverCare follows a Human-in-the-Loop (HITL) governance model.
This means:
Humans remain accountable
Qualified professionals may review AI outputs
AI recommendations may be modified
AI recommendations may be rejected
AI recommendations may be overridden
Human judgment always takes precedence over AI-generated outputs.
3.4 Fairness and Equity
We strive to develop AI systems that operate fairly across diverse populations.
Measures include:
Bias assessments
Validation testing
Clinical reviews
Continuous monitoring
Fairness evaluations
Our goal is to minimize unfair outcomes and promote equitable access to healthcare information and services.
3.5 Transparency
We are committed to being transparent about how AI is used.
Users should be able to understand:
When AI is being used
What AI does
What AI does not do
How human oversight is applied
The limitations of AI systems
3.6 Privacy and Security
We implement safeguards to protect personal and health-related information processed through AI systems.
Security measures include:
Encryption
Access controls
Multi-Factor Authentication
Monitoring and logging
Secure software development
Security assessments
Incident response procedures
3.7 Accountability
AverCare remains accountable for the AI systems we deploy.
Responsibility for healthcare decisions remains with qualified healthcare professionals and authorized personnel.
AI systems are tools and are not decision-makers.
4. HUMAN OVERSIGHT OF AI
Certain AI-generated outputs may be reviewed by qualified professionals before action is taken.
Examples include:
Clinical recommendations
Risk assessments
Health alerts
Treatment-related recommendations
Medication-related information
Clinical decision support outputs
Human reviewers may:
Approve outputs
Modify outputs
Reject outputs
Escalate concerns
Override recommendations
This helps ensure that AI systems remain aligned with their intended purpose and patient safety objectives.
5. AI SAFETY
AverCare implements a range of safety controls throughout the AI lifecycle.
These controls may include:
Risk assessments
Clinical validation
Human review processes
Escalation procedures
Override mechanisms
Continuous monitoring
Incident management processes
Quality assurance reviews
Safety controls are intended to help identify, mitigate, and manage potential risks.
6. AI VALIDATION
Prior to deployment, AI systems may undergo:
Technical testing
Clinical validation
Security assessments
Bias assessments
Performance evaluations
Human oversight testing
Validation activities are designed to help ensure AI systems operate according to their intended purpose.
7. AI MONITORING
AI systems are monitored throughout their lifecycle.
Monitoring activities may include:
Performance reviews
Safety reviews
Incident monitoring
Bias monitoring
Model drift monitoring
User feedback analysis
Governance reviews
Continuous monitoring helps identify opportunities for improvement and supports ongoing safety and effectiveness.
8. USER RIGHTS
Users may have rights regarding information processed through AI systems.
Depending on applicable laws and circumstances, these rights may include:
Access to information
Correction requests
Deletion requests
Consent withdrawal
Human review requests
Privacy-related requests
Questions regarding AI-assisted processing
Additional information is available within AverCare's User Rights Information Notice and Privacy Policy.
9. WHAT AI DOES NOT DO
AverCare AI systems are not intended to:
Replace physicians
Replace healthcare professionals
Independently diagnose medical conditions
Independently prescribe medications
Independently determine treatment plans
Replace emergency medical services
Operate without appropriate oversight
Healthcare decisions should always involve qualified healthcare professionals.
10. OUR GOVERNANCE FRAMEWORK
AverCare maintains formal governance structures to oversee AI technologies.
These include:
AI Governance Committee
Responsible AI Framework
AI Ethics Policy
AI Risk Management Program
Human-in-the-Loop Governance
AI Clinical Review Processes
AI Model Validation Processes
AI Bias Management Processes
AI Transparency Controls
These governance mechanisms help ensure that AI remains aligned with our ethical, clinical, regulatory, and operational obligations.
11. REGULATORY ALIGNMENT
Our Responsible AI Program is designed to align with recognized international standards and guidance, including:
WHO Guidance on Ethics and Governance of AI for Health
FDA AI/ML Guidance
IMDRF Software as a Medical Device Framework
EU AI Act
HIPAA
HITECH Act
GDPR
UK GDPR
UAE Personal Data Protection Law
Australian Privacy Act
New Zealand Privacy Act
India's Digital Personal Data Protection Act
ISO 42001
ISO 27001
ISO 14971
ISO 13485
12. LEARN MORE
Additional information is available through:
Privacy Policy
AI Privacy Information Notice
AI Safety Information Notice
Human Oversight Information Notice
User Rights Information Notice
Terms of Service
Responsible AI Framework
13. CONTACT US
Questions regarding Artificial Intelligence governance may be directed to:
09 June 2026 Date: ______________________________ 09 June 2026
This is the published version of AC-PUB-RAIF-164, version 1.0. The signed original is retained on record and is available to customers, auditors and regulators on request via ai-governance@avercare.global.
