Machine learning – or the ability of computers to analyse data, learn from trends and solve problems – has been employed around the world across a vast array of sectors and to varying levels of complexity for years. But are we harnessing the power of machine learning in social protection? In this webinar, experts discussed how aspects of this branch of artificial intelligence have already been applied in the sector, and the possibilities for the future application of machine learning in social protection.
Panellists: Richard Chirchir – Development Pathways, Peter Thirikwa – Hunger Safety Net Programme, Katelyn Cioffi – Center for Human Rights and Global Justice at NYU School of Law, Boniface Kibicho – Development Pathways
Moderator: Laura Ulanowski – Development Pathways