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 resource settings. 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?
The inaugural Data Science & AI Summit (DASH) in Africa will inspire, teach and connect innovators in the health data science/AI community within Africa. Through a cross-disciplinary approach that empowers participants to customize the event content, we will explore lessons learned from previous digital health revolutions, highlight new challenges in the advent of AI and cultivate ideas and collaborations that will drive the ecosystem towards scalable impact. READ MORE.
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DASH in Africa is a collaboration between the Harvard Global Health Institute, Mbarara University of Science and Technology, the MIT Critical Data Group, and other partners. The project is made possible thanks to the support of the Novartis Foundation.
Arsen Muhumuza became involved in AI and health through his participation in a 2017 hackathon that helped him generate ideas for how to leverage technology to address health challenges. Since then, Arsen has helped organize multiple events with the goal of convening a range of stakeholders and innovators to develop surgical solutions using technology. In this interview he shares his thoughts on institutional collaboration and the path toward ethical AI innovation in Africa.
After a spending some time at the Massachusetts Institute of Technology, Mbarara University’s Richard Kimera is teaching data science, working on AI for health innovations, and chairing the Innovation Summit for Africa. In this interview, he shares his latest health AI work on detecting cancer re-occurences sooner than currently possible, explains his hope for better recognition of the role research can play in solving African health problems, and advocates for more collaboration among data scientists and healthcare workers.