Research works best when it takes account of multiple viewsby Vincent Conitzer / March 6, 2017 / Leave a comment
Progress in artificial intelligence has been rapid in recent years. Computer programs are dethroning humans in games ranging from Jeopardy to Go to poker. Self-driving cars are appearing on roads. AI is starting to outperform humans in image and speech recognition.
With all this progress, a host of concerns about AI’s impact on human societies have come to the forefront. How should we design and regulate self-driving cars and similar technologies? Will AI leave large segments of the population unemployed? Will AI have unintended sociological consequences? (Think about algorithms that accurately predict which news articles a person will like resulting in highly polarised societies, or algorithms that predict whether someone will default on a loan or commit another crime becoming racially biased due to the input data they are given.)
Will AI be abused by oppressive governments to sniff out and stifle any budding dissent? Should we develop weapons that can act autonomously? And should we perhaps even be concerned that AI will eventually become “superintelligent”—intellectually more capable than human beings in every important way—making us obsolete or even extinct? While this last concern was once purely in the realm of science fiction, notable figures including Elon Musk, Bill Gates, and Stephen Hawking, inspired by Oxford philosopher Nick Bostrom’s Superintelligence book, have recently argued it needs to be taken seriously.
These concerns are mostly quite distinct from each other, but they all rely on the premise of technical advances in AI. Actually, in all cases bu…