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 for Health (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.