The ethics of self-driving cars have been questioned for a long time for accident-related instances. Even today, self-driving cars face several dilemmas that need to be addressed urgently.

Road accidents constitute a major problem in our societies around the world. The World Health Organization(WHO) estimated that 1.25 million deaths were related to road traffic injuries in the year 2010. For the year 2016, the USA alone had recorded 37, 461 motor vehicle crash-related deaths, averaging around 102 people per day. In Europe, the statistics also indicate that each minute, there are 50 road deaths recorded in the year 2017. Can machine learning help us understand the causes and the factors that affect car crash severity?

When Chris Urmson talks about driverless cars, everyone should listen. This has been true throughout his career but it is especially true now. Few have had better vantage points on the state of the art and the practical business and engineering challenges of building driverless cars. Urmson has been at the forefront for more than a decade, first as a leading researcher at CMU, then as longtime director of Google's self-driving car (SDC) program, and now as CEO of a driverless car dream team at Aurora Innovation. Urmson's recent "Perspectives on Self-Driving Cars" lecture at CMU was particularly interesting because he has had time to absorb the lessons from his long tenure at Google and translate those into his next moves at Aurora. He was also in a thoughtful space at his alma mater, surrounded by mentors, colleagues and students.