Creating a good artificial intelligence (AI) user experience is not easy. Everyone who uses autocorrect while writing knows that while the system usually does a pretty good job of acthing and correcting errors, it sometimes makes bizarre mistakes. The same is true for the autopilot in a Tesla, but unfortunately the stakes are much higher on the road than when sitting behind a computer.
Daniel S. Weld of the University of Washington in Seattle has done a lot of research on human-AI teams. Last year, he and a group of colleagues from Microsoft
proposed 18 generally applicable design guidelines for human-AI interaction, which were validated through multiple rounds of evaluation.
I interviewed Weld about the challenges of building a human-AI dream team.
Read the full article on the website of the
ACM.
