First CHAI-Certified Collaboration Accelerates AI Validation and Adoption for Underserved Populations BeeKeeperAI, a leader in privacy-enhancing, multi-party collaboration software for AI development and deployment, announced that Morehouse School of Medicine (MSM) and the Icahn School of Medicine at Mount Sinai (ISMMS) will use its EscrowAI platform to test AI models on their real-world, multi-modal data related to chronic heart failure (CHF). This marks a significant milestone, being the first operational deployment certified under the Coalition for Health AI (CHAI)'s assurance service provider certification process. The collaboration sets a precedent for responsible AI testing and faster market adoption, particularly in underserved populations. Dr. Brian Anderson, CEO of CHAI, emphasized the importance of this event, stating that it is just the beginning of numerous collaborations aimed at ensuring AI serves all patients. The shared vision of MSM, ISMMS, and BeeKeeperAI is to accelerate the responsible development, validation, and market adoption of AI tools that enhance clinical decision-making, reduce hospital readmissions, and ensure equitable outcomes for patients with limited resources who are at higher risk of chronic heart failure. The EscrowAI platform plays a crucial role in this collaboration by facilitating secure AI model testing within a data steward's environment. Utilizing Trusted Execution Environments (TEEs) and confidential computing, EscrowAI ensures data privacy, regulatory compliance, and the protection of intellectual property (IP) throughout the testing process. Dr. Michael Blum, Co-founder and CEO of BeeKeeperAI, highlighted the balance between speed and trust, explaining that EscrowAI can enable rapid testing of AI models on high-value, real-world data in days rather than months, thereby enhancing the scalability and equity of healthcare innovations. The datasets involved in this collaboration are carefully curated and include clinical, demographic, and social determinants of health data. This comprehensive approach provides a rare opportunity to evaluate algorithm performance across different institutions that predominantly serve resource-limited populations. Dr. Muhammed Y. Idris from MSM expressed his institution's commitment to ensuring optimal outcomes for all patients, particularly those at higher risk of CHF. By allowing secure computation on their data, MSM aims to develop algorithms that can significantly reduce readmissions and mortality rates. Similarly, Dr. Tanvir Kahlon from ISMMS stressed the importance of AI models being accurate, safe, and effective in real-world and diverse settings. The partnership with BeeKeeperAI and MSM ensures that these models are validated without compromising patient privacy or the integrity of the data. This alignment with CHAI’s standards and practices underscores the commitment to delivering trustworthy and responsible AI solutions. Accelerating Trustworthy & Responsible AI with Privacy-Enhancing Technology TheEscrowAI platform's ability to replace lengthy data access and contractual processes with streamlined, compliant workflows is a game-changer for AI developers. It compresses timelines and accelerates time-to-value, allowing developers to test and prove the performance of their models on regulated data in a SOC 2-compliant environment. The performance reports generated are immutable, transparent, and reproducible, providing a robust foundation for market evaluation and adoption. CHAI's assurance model is pivotal in this shift towards more evidence-based and transparent AI evaluations. Unlike traditional methods that often rely on marketing presentations, CHAI’s policies ensure independent oversight through strict conflict-of-interest and ethics standards. BeeKeeperAI’s infrastructure supports these policies by offering privacy-protected reproducibility, detailed audit trails, and quick deployment capabilities. Together, these elements enable faster validation and value-based procurement of AI solutions that are effective and ethical. To further support this initiative, both ISMMS and MSM are planning to publish data catalogs. These catalogs will allow for independent AI testing and validation, reinforcing the new benchmark for healthcare AI transparency and efficiency. By making their data available for scrutiny, these institutions aim to build public trust in AI-driven healthcare technologies. Industry Insider Evaluation and Company Profiles Industry experts and insiders have praised the collaboration as a significant step forward in advancing healthcare AI. They highlight the unique combination of privacy-enhancing technology, ethical standards, and real-world data, which collectively address the critical challenges of data accessibility, privacy, and regulatory compliance. The initiative is seen as a model for future partnerships that aim to develop AI solutions for underserved populations, fostering equitable and effective healthcare. BeeKeeperAI, founded in 2018, is a pioneering company in the field of privacy-enhancing technologies. Its EscrowAI platform is designed to help institutions in regulated sectors, such as healthcare and government, validate and deploy AI models safely and efficiently. By integrating TEEs and confidential computing, BeeKeeperAI ensures that data remains protected while being used for valuable AI testing and development. The Icahn School of Medicine at Mount Sinai, a renowned research and teaching hospital, is not only a partner in this collaboration but also an investor in BeeKeeperAI. Mount Sinai’s involvement underscores its commitment to advancing AI in healthcare and highlights the growing recognition of the need for integrated, multi-institutional approaches to AI validation and deployment. About CHAI The Coalition for Health AI (CHAI) is an innovative organization dedicated to promoting responsible, evidence-based AI in healthcare. CHAI develops and implements assurance services to ensure that AI models are accurate, safe, and effective before reaching the market. Its certification process for service providers like BeeKeeperAI sets high ethical and security standards, fostering trust in AI-driven healthcare solutions. This groundbreaking collaboration between BeeKeeperAI, MSM, and ISMMS exemplifies the potential of AI to transform clinical care, especially for vulnerable populations. By leveraging advanced privacy-enhancing technologies and aligning with stringent ethical standards, the project paves the way for more rigorous and responsible AI development and deployment in the healthcare sector.