Responsible AI Policy

At Prealize

1. Introduction
 
Prealize is committed to leveraging AI technologies to power proactive healthcare, affordability, efficient healthcare delivery and improved outcomes. Our use of AI is guided by principles of ethical responsibility, transparency, and fairness. This policy outlines our commitment to ensuring that AI models used in our healthcare operations do not introduce or exacerbate biases that may already exist in healthcare ecosystem.
 
2. Commitment to Fairness
 
We are dedicated to ensuring that our AI models operate fairly and do not introduce or exacerbate biases. To achieve this, we:

AI Model Bias:
Regularly assess our AI models to not introduce or exacerbate biases based on race, ethnicity, or other protected characteristics.
Diverse and Representative Data:
Use diverse and representative datasets to train our AI models, ensuring that they reflect the populations we serve and do not favor or disadvantage any group.
Data Quality and Privacy:
Implement robust data governance practices to ensure data accuracy, completeness, and privacy throughout the AI lifecycle.
Bias Audits:
Conduct routine bias audits to evaluate the performance of AI models across different protected groups and take corrective actions as needed.

3. Transparency and Open Communication

Model Documentation:
Provide clear documentation on how our AI models are developed, including the data used, the training process, and the validation methods.
Open Communication:
Engage in open communication with stakeholders, including healthcare plans, providers, and regulators, about the use of AI in healthcare and the measures we take to not introduce or exacerbate biases.

4. Continuous Monitoring and Improvement

The field of AI is rapidly evolving. We are committed to continuous learning and improvement to ensure the responsible use of AI. To achieve this, we:

Continuous Monitoring:
Implement continuous monitoring of AI model performance in real-world settings, when protected characteristics data are shared by stakeholders.
Stakeholder Feedback:
Encourage and incorporate feedback from our stakeholders to improve AI model performance and address any concerns related to bias.
Industry Best Practices:
Stay informed about industry best practices and emerging AI standards to maintain alignment with responsible AI principles.

5. Accountability and Ethical Governance

    We utilize clear accountability structures to ensure our AI initiatives are governed ethically and responsibly. To achieve this, we:

    Ethical Review:
    We utilize a rigorous ethical review process for all AI projects, involving cross-functional teams to assess potential impacts.
    Roles and Responsibilities
    We have clearly defined roles and responsibilities for AI development, deployment, and oversight.
    Risk Assessment and Control:
    We conduct periodic assessments to identify risks related to data security, privacy, and malicious use of our AI systems. We evaluate risks, develop mitigation strategies, and monitor their effectiveness.
    Incident Response:
    We have procedures for addressing AI-related incidents, including those arising from bias or unintended consequences.

    6. Compliance with Legal and Regulatory Standards

    We are committed to complying with all relevant legal and regulatory standards related to the use of AI in healthcare. We:

    Regulatory Adherence:
    Ensure that our AI models comply with applicable laws and regulations, including those related to data protection, patient rights, and anti-discrimination.

    By adhering to this policy, Prealize Health demonstrates its commitment to using AI as a force for good in healthcare, benefiting our stakeholders and the broader community.

    Version 1.4

    Updated Oct 2024

    The information in this document is subject to change without notice.