 My name is Divar Ardalon and I'm the founder and storyteller-in-chief of I-Vow and I-Vow stands for voices of wisdom, a vow to make sure that the future of storytelling with artificial intelligence is culturally conscious. Many of the stories that you might see in newspapers or in digital stories in the future might be generated by machines and not journalists. This summer it was the first time that parts of Wimbledon were actually reported by machines. Across six courts in Wimbledon it was actually a machine that captured the highlight videos so the machine was trained to understand like the sound that the audiences were making and the reaction of the athletes and the data obviously around the players and they were able to generate within 50 minutes video packages from six different courts at Wimbledon and share that with the Wimbledon fan. This is an example of how machine learning is generating new content. I was a production assistant at NPR News in 1994 and that's what I would have been doing, logging tape and listening for those highlight reels but the idea is that journalists are behind the creation of them so the understanding of the ethics and the journalism craft that goes into creating the storytelling templates and also creating the infrastructure around how to automate news. What we're doing is we're tagging data around culture, tradition and heritage and bringing together the power of artificial intelligence to create stories that really anchor the public in the stories of their traditions and cultures in new ways. The Washington Post, New York Times and Reuters are all veterans at this by this point in the last couple years and their focus is on politics and business and entertainment and sports. It's exciting for us to get into this field as people who come from a public media background to think about also how do we capture data around culture and heritage for communities around the world.