The panel "Let's Chat About Bots" gathered representatives from four companies that have built robust bots for interacting with customers onFacebook's chat platform Messenger: Anastasia Sartan cofounder and CEO of the Russian e-commerce site Epytom Stylist; Hussein Fazal, CEO of the travel booking site SnapTravel; Felipe Bernal, head of product innovation at the Brazilian IT company Movile; and Chema Alonso, head of digital at the telecom giant Telefonica. Angelique Kamara, of Facebook Messenger Partnerships, moderated.
This is the K5, a fully autonomous security robot that stands 6-feet tall and weighs in at 400 pounds. It is one of the latest creations from Knightscope, a security company first founded in 2015, and is designed to be used to patrol a variety of venues, including shopping malls and college campuses. The company's co-founder has made it clear that the robots are not intended to replace human law enforcement personnel, but compliment their activities and to be used in areas which present a serious threat to the safety of human law enforcement and security guards. So far, the robots have been used in dark and particularly dangerous areas such as parking lots and under bridges.
AI, machine learning, and predictive analytics rely on massive data sets. While holding the potential for great benefit to society, this explosion of data collection creates privacy and security risks for individuals. In this episode, one of the world's foremost privacy engineers explores the broad privacy implications of data and artificial intelligence.
And we likely still will not know much twenty years from now. The reason is: the severe lack of data. It is really hard to get data of everything a set of people ate over decades tied to their life outcomes tied to their wealth tied to their life habits and tied to their DNA. This data set does not exist today and likely will not exist twenty years from now.