This week, as leaders gather in Davos, Switzerland, to discuss how to “create a shared future in a fractured world,” many of the conversations will center on the role of humans and robots in a future of automation or augmentation.

If the system fails, who will it fail for, and what are we going to do about it? If something does go wrong, how do I know where it went wrong, and what’s my access to redress?

Artificial intelligence and machine learning are technologies that will transform the world, in part because they can identify patterns in data that can inform decisions, Erica Kochi said. But while this works well in areas of perfect data — such as earthquakes, where all events are recorded — in cases where data is imperfect, there are two major risks. One is that people who design the algorithms may not understand how they will be used, and the data points that train the algorithms may not be representative, she said.

There are concerns that the world is in a race to the bottom for wages and that, in many industries, technologies such as 3D machines will eliminate the need for outsourcing. The proposed solutions range from equipping young people with modern skills to providing a universal basic income.

Read the source article on artificial intelligence by Catherine Cheney at Devex International Development