MIT Sloan: What Humans Lose When We Let AI Decide

07 Feb 2022
Why you should start worrying about artificial intelligence now.

Originally found at MIT Sloan by Christine Moser

It’s been more than 50 years since HAL, the malevolent computer in the movie 2001: A Space Odyssey, first terrified audiences by turning against the astronauts he was supposed to protect. That cinematic moment captures what many of us still fear in AI: that it may gain superhuman powers and subjugate us. But instead of worrying about futuristic sci-fi nightmares, we should instead wake up to an equally alarming scenario that is unfolding before our eyes: We are increasingly, unsuspectingly yet willingly, abdicating our power to make decisions based on our own judgment, including our moral convictions. What we believe is “right” risks becoming no longer a question of ethics but simply what the “correct” result of a mathematical calculation is.

Day to day, computers already make many decisions for us, and on the surface, they seem to be doing a good job. In business, AI systems execute financial transactions and help HR departments assess job applicants. In our private lives, we rely on personalized recommendations when shopping online, monitor our physical health with wearable devices, and live in homes equipped with “smart” technologies that control our lighting, climate, entertainment systems, and appliances.

Unfortunately, a closer look at how we are using AI systems today suggests that we may be wrong in assuming that their growing power is mostly for the good. While much of the current critique of AI is still framed by science fiction dystopias, the way it is being used now is increasingly dangerous. That’s not because Google and Alexa are breaking bad but because we now rely on machines to make decisions for us and thereby increasingly substitute data-driven calculations for human judgment. This risks changing our morality in fundamental, perhaps irreversible, ways, as we argued in our recent essay in Academy of Management Learning & Education (which we’ve drawn on for this article).

Continue reading the original article at  MIT Sloan

Read the original research in Academy of Management Learning & Education

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