Gaudet suggests adopting comprehensive AI governance frameworks, engaging the board in active oversight, and embedding transparency into AI strategy. He also proposes solutions for transparency and trust, such as explainable AI techniques, enhancing model documentation, regulatory compliance, interdisciplinary collaboration, and clear accountability structures. He concludes that while AI has immense potential in healthcare, boards must ensure that AI systems are not only innovative but also secure, ethical, and trustworthy.
Key takeaways:
- Boards of directors must recognize their critical role in setting AI strategy and managing ongoing AI governance to ensure that AI systems are safe, secure, transparent and ethical.
- The deployment of AI in healthcare introduces a spectrum of risks that boards need to understand and manage effectively, including data bias, data privacy and security, and lack of transparency and explainability.
- Boards should adopt comprehensive AI governance frameworks that ensure AI systems are secure, transparent and compliant with regulatory requirements, and engage in active oversight of AI systems.
- Enhancing transparency builds trust among users and stakeholders, and organizations should implement strategies such as explainable AI techniques, enhancing model documentation, regulatory compliance and standards, interdisciplinary collaboration, and clear accountability structures.