When Developers Can’t Explain Their AI, Laws No Longer Apply
The hows and whys of the decisions of machine-learning algorithms are increasingly opaque, even to their programmers. That makes laws and norms increasingly difficult to apply.
The hows and whys of the decisions of machine-learning algorithms are increasingly opaque, even to their programmers. That makes laws and norms increasingly difficult to apply.
After a long so-called winter, artificial intelligence has recently made amazing gains. Tomaso Poggio, Director of MIT’s Center for Brains, Minds, and Machines, explains why this success is still a long way from the dystopian fears of robot overlords, but that the threat to jobs is real.