At the scheduled time, you can access the webinar here.

ADD TO YOUR CALENDAR (much better than the Evenbrite link)

Artificial Intelligence (AI) has now moved from “hype” and “hope” to “results” and “impact” in its application for global health programs and health resilience initiatives. AI has the potential to prevent the spread of communicable diseases, extend aid and advocacy to remote regions, and deliver more targeted human-centric health services.

Mobile phones and other ICTs for data collection are already key components in public and emergency health programs. Adding algorithms and automation through machine learning and deep learning allows us to identify patterns in the data that can inform life-saving decisions.

This webinar is part of an ongoing series around ICT4D. It will explore, through an interactive discussion, how AI and machine learning tools can be applied and why they will play a key role in the achievement of the UN Sustainable Development Goals for Health and Nutrition. Attendees are encouraged to ask questions and join the debate.

Topics to be discussed include, but are not limited to:

• Oversight: What new machine learning applications and systems are already available?
• Case studies: What are the main use cases you see for AI in global health programs?
• Addressing ethical considerations.
• Lessons learned: what have we learnt from experience with AI tools so far?
• What does the future hold?