
But then he mentioned this to a Japanese roboticist, who protested: “No, robots are very good at those things!” Might AI eclipse us at intellectual tasks so rapidly that the last remaining jobs will be in that low-tech category? A friend of mine recently joked with me that perhaps the very last profession will be the very first profession: prostitution. This includes not only high-tech professions such as software development, but also a panoply of low-tech jobs leveraging our superior dexterity and social skills, ranging from massage therapy to acting. Rather, we’re crowding into those pieces of terrain in figure 2.2 that haven’t yet been submerged by the rising tide of technology! Figure 3.6 shows that this forms not a single island but a complex archipelago, with islets and atolls corresponding to all the valuable things that machines still can’t do as cheaply as humans can. “The main trend on the job market isn’t that we’re moving into entirely new professions. Life 3.0: Being Human in the Age of Artificial Intelligence


But what if this system finds that recidivism is statistically linked to a prisoner’s sex or race-would this count as a sexist, racist robojudge that needs reprogramming? Indeed, a 2016 study argued that recidivism-prediction software used across the United States was biased against African Americans and had contributed to unfair sentencing.36 These are important questions that we all need to ponder and discuss to ensure that AI remains beneficial.”

If defendants wish to know why they were convicted, shouldn’t they have the right to a better answer than “we trained the system on lots of data, and this is what it decided”? Moreover, recent studies have shown that if you train a deep neural learning system with massive amounts of prisoner data, it can predict who’s likely to return to crime (and should therefore be denied parole) better than human judges. “Even if AI can be made robust enough for us to trust that a robojudge is using the legislated algorithm, will everybody feel that they understand its logical reasoning enough to respect its judgment? This challenge is exacerbated by the recent success of neural networks, which often outperform traditional easy-to-understand AI algorithms at the price of inscrutability.
