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Blog

You Get Out What You Put In: Exploring the Role of High-Quality Data in AI

By Kathryn E. Horneffer | HGHI Research Assistant — “Who has heard of Gartner’s hype cycle?” Adam Landman addressed his audience, pointing to an image on the slides behind him. The IT research company Gartner had created the hype cycle concept to represent the typical process of adoption of a technology into society. Most artificial … Continue reading You Get Out What You Put In: Exploring the Role of High-Quality Data in AI

Harvard Gazette: Symposium examines promise, hype of artificial intelligence in health care

By Alvin Powell | Harvard Staff Writer — In 2016, a Google team announced it had used artificial intelligence to diagnose diabetic retinopathy — one of the fastest-growing causes of blindness — as well as trained eye doctors could. In December 2018, Microsoft and the pharmaceutical giant Novartis announced a partnership to develop an AI-powered … Continue reading Harvard Gazette: Symposium examines promise, hype of artificial intelligence in health care

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Why this conference?

Artificial Intelligence is transforming healthcare, promising great advances in disease detection and treatment. Our understanding of the impact these technologies may have on people, systems and societies is limited, however, especially when it comes to applications in low and middle-income countries. How do we guarantee that AI-assisted technologies don’t perpetuate bias? How do we validate their findings, and assess if they actually improve health outcomes? How do we ensure these technologies are designed by and for local communities? And how do we encourage the development of new sources of data to train machine learning algorithms, especially in data-poor environments?

On February 26th, the Harvard Global Health Institute hosted a major summit taking a critical, cross-disciplinary look at the future of AI in global health. By bringing together leading scientists, researchers, policy makers, and practitioners separated hype from reality and mapped out an agenda for collaboration and research that will lead toward better-informed decision-making on privacy, safety, equity, scalability, health system integration, business models and other pressing questions emerging with the rise of AI in healthcare.

For continued updates, browse the blog and follow #GlobalHealthAI

 

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Speakers

Multi-disciplinary, international, collaborative: Our speakers come from a wide range of academic disciplines, including law, clinical medicine and data science, as well as from multinational entities, philanthropic organizations and industry.

 

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Videos

 

8:00 – 8:30 am        REGISTRATION & LIGHT BREAKFAST

8:30 – 8:45 am        WELCOME REMARKS

Megan Diamond | Program Manager, Harvard Global Health Institute

Dean Ashish Jha | Director, Harvard Global Health Institute

Bernardo Mariano Jr. | Chief Information Officer, World Health Organization (video)

8:45 – 9:00 am        KEYNOTE ADDRESS

Ann Aerts Head of Novartis Foundation

9:00 – 10:20 am    FLASH TALKS, ROUND 1

Andrew Beam | Harvard T.H Chan School of Public Health: Machine Learning and Artificial Intelligence in Medicine: What’s Old, What’s New, What’s Real?

Leo A. Celi | MIT Laboratory for Computational Physiology: The Reproducibility Crisis in the Age of Artificial Intelligence

John Halamka |Beth Israel Deaconess Medical Center: The Potential for Machine Learning in Healthcare

Merce Crosas | Harvard Institute for Quantitative Social Science: Responsible and FAIR (Findable, Accessible, Interoperable, Reusable) Data Sharing

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