In this meetup series, we want to inspire everyone to use or implement Machine Learning and AI not only to serve great causes but also to have a demonstrable positive impact on society. We'll be talking about how we can use AI to do just that, through applying it to health, education, democracy, nutrition and more, but also how we can technically implement that while ensuring what we build is ethical. Please register on Eventbrite to be sure to secure a spot! Abstract: Healthcare is one of the most challenging spaces in which artificial intelligence operates. Medical machine learning solutions are highly regulated, require the most personal of data and have literal life-and-death consequences.

There is a symbiotic relationship between data and artificial intelligence. We use data to create the foundation of a successful implementation, and AI is then used to further interpret and refine that data. It is a constant feedback loop where one affects the effectiveness of the other. For machine learning to have an impact, data needs to be curated, high-quality and easily accessible. Successfully training such a technology without bias is a bigger challenge than one might expect.