The trouble with algorithms…

There’s never been a more exciting time to be in autonomous driving says Drago Anguelov  of Waymo in an interview with Morning Brew. “but over the next five years, the biggest challenge will be to continue evolving these systems to handle an ever-broader range of scenarios [including] the ability to robustly handle a set of challenging weather conditions, as well as different driving patterns across multiple cities and countries.”

“To achieve that, machine learning systems need to…make effective use of the significant driving experience we’ve gathered and simulated over the last decade,” he said.

“People started using algorithms to avoid difficult conversation,” says Cathy O’Neil of O’Neil Risk Consulting “But it’s going to be harder … as people start learning how to ask the questions that need to be asked.”

“It’s far too easy to blame ‘the algorithm’ when something goes wrong, but ultimately, humans must bear the responsibility for these decisions, and they must understand where the potential pitfalls lie,” says David Cox of IBM Watson lab

Read the full article in Morning Brew.