Connecting for innovation and equity in global health
To answer the question, ‘What if AI models in health care autocorrected to maintain peak clinical performance?’, the Performance and Reliability Evaluation for Continuous Modifications and Useability of Artificial Intelligence (PRECISE-AI) program aims to develop capabilities that can automatically detect and mitigate AI model degradation. ARPA-H and PRECISE-AI aims to bring together machine learning experts, health information specialists, and clinicians to address five technical areas.
As the adoption of artificial intelligence (AI) continues to expand across industries, its potential to revolutionize health behavior change programs in low- and middle-income countries (LMICs) is becoming a focal point of global health conversations. Join us on December 3 for “Smart Health, Smart Choices: Leveraging AI for Behavior Change in Global Health,” organized by the Alliance in collaboration with Population Services International (PSI). The event will serve as the final convening of the Alliance’s 2024 AI and Global Health Discussion Series. The event will bring together practitioners, policymakers, and researchers to examine when and how AI and SBC can be most effectively and responsibly deployed in LMICs.
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Join the International Telecommunication Union (ITU) for the AI for Good Global Summit in Geneva, Switzerland. The AI for Good Global Summit is the leading action-oriented United Nations platform promoting AI to advance health, climate, gender, inclusive prosperity, sustainable infrastructure, and other global development priorities.
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Join Alliance member Stanford for RAISE Health Symposium 2024 which will explore AI’s potential to transform medicine and spotlight critical challenges to ensuring that AI is developed safely, responsibly, and for the benefit of society. This symposium will host an essential discussion about the role of artificial intelligence in our health and will provide opportunities to hear from world-class experts and gain insights about AI’s next chapter and strategies for navigating the responsible advancement of AI in biomedicine.