09/21/23 – A Pioneering Code of Conduct for AI in Healthcare Unveiled by National Academy of Medicine
As a pioneer in the realm of clinical AI, Bayesian Health is both invigorated and deeply aligned with a recent multi-phased initiative spearheaded by the National Academy of Medicine (NAM) Leadership Consortium. With Dr Suchi Saria (Bayesian Health’s CEO) serving as a founding member of the steering committee, this ambitious project aims to establish an Artificial Intelligence Code of Conduct (AICC) for the healthcare sector. Far more than a mere initiative, the AICC serves as a guiding framework that resonates with Bayesian’s unwavering commitment to efficacy and responsible AI use. This endeavor underscores the pivotal role that Bayesian approaches are playing in setting the standard for accurate, safe, reliable, and ethical AI applications in healthcare.
About NAM Leadership Consortium
The National Academy of Medicine (NAM) Leadership Consortium stands as a trusted platform and cornerstone for interdisciplinary dialogue, uniting national leaders across diverse sectors. With a focus on aligning science, informatics, incentives, and culture, the Consortium is committed to fostering a healthcare system that is both innovative and continuously learning. It serves as a linchpin in streamlining the various components essential for improving healthcare outcomes for all, truly embodying the ideal of crafting a healthcare system that benefits everyone.
The Imperative for AICC
With Dr Suchi Saria helping to lead the steering committee, the Artificial Intelligence Code of Conduct (AICC) stands as a timely and imperative answer to the rapid expansion of AI technologies in healthcare. Addressing the pressing need for a cohesive set of best practices and ethical guidelines, the AICC’s two-fold vision aims to harmonize existing ethical principles while pinpointing gaps. In doing so, it seeks to establish a universally respected Code of Conduct that not only serves as a starting point but also as a yardstick for ongoing refinement, testing, validation, and improvement in the ever-evolving landscape of healthcare AI.
The project aims to catalyze collective action to harness the potential of AI in transforming healthcare delivery and advancing health research, all while upholding high standards of ethics, equity, privacy, and security.
Timeline and Governance
Scheduled to last for three years, the AICC project has a roadmap that includes steering committee meetings, webinars, and final hybrid discussions. The steering committee, composed of thought leaders in multiple fields, will guide the project to ensure it meets its intended aims and earns broad stakeholder support.
Among its key deliverables, AICC plans to offer a harmonized Code of Conduct, a comprehensive landscape assessment, a systematic review of guidelines, and a final special publication outlining the Code of Conduct framework for deployment in the healthcare system.
While primarily based on U.S. experience, the initiative intends to be informed by international efforts, making it globally relevant.
NAM is also focused on aligning its work with other initiatives in the field, reinforcing and being informed by other projects to ensure the broad adoption of the Code.
Why Bayesian Health is Intrinsically Involved
For Bayesian Health, the AICC initiative serves as a vital framework that aligns seamlessly with our core values and ambitions, particularly under the strategic guidance of Dr Suchi Saria on the steering committee. Deeply invested in ethical and effective clinical AI, we see the AICC as an essential guide to fine-tuning our practices in concert with broader industry standards.
With backing from various foundations and a commitment to include a diverse set of stakeholders, the project promises to have profound implications for the future of healthcare. Stay engaged with us as we actively participate in this pivotal initiative, shaping and anticipating the transformative impact it will have on making AI a reliable and ethical force in healthcare.