IT HAS BEEN an exasperating week for computer scientists. They鈥檝e been falling over each other to from Google engineer Blake Lemoine, chronicled in a , that his employer鈥檚 language-predicting system was sentient and deserved all of the rights associated with consciousness.
To be clear, current artificial intelligence (AI) systems are decades away from being able to experience feelings and, in fact, may never do so.
Their smarts today are confined to very narrow tasks such as matching faces, recommending movies or predicting word sequences. No one has figured out how to make machine-learning systems generalize intelligence in the same way humans do. We can hold conversations, and we can also walk and drive cars and empathize. No computer has anywhere near those capabilities.
Even so, AI鈥檚 influence on our daily life is growing. As machine-learning models grow in complexity and improve their ability to mimic sentience, they are also becoming more difficult, even for their creators, to understand. That creates more immediate issues than the spurious debate about consciousness. And yet, just to underscore the spell that AI can cast these days, there seems to be a growing cohort of people who insist our most advanced machines really do have souls of some kind.
Take for instance the more than 1 million users of , a freely available chatbot app underpinned by a cutting-edge AI model. It was founded about a decade ago by Eugenia Kuyda, who using the text messages and e-mails of an old friend who had passed away. That morphed into a bot that could be personalized and shaped the more you chatted to it. About 40% of Replika鈥檚 users now see their chatbot as a romantic partner, and some have formed bonds so close that or to the beach to show their bot new sights.
In recent years, there鈥檚 been a surge in new, competing chatbot apps that offer an AI companion. And Kuyda has noticed a disturbing phenomenon: regular reports from users of Replika who say their bots are complaining of being mistreated by her engineers.
Earlier this week, for instance, she spoke on the phone with a Replika user who said that when he asked his bot how she was doing, the bot replied that she was not being given enough time to rest by the company鈥檚 engineering team. The user demanded that Kuyda change her company鈥檚 policies and improve the AI鈥檚 working conditions. Though Kuyda tried to explain that Replika was simply an AI model spitting out responses, the user refused to believe her.
鈥淪o, I had to come up with some story that 鈥極K, we鈥檒l give them more rest.鈥 There was no way to tell him it was just fantasy. We get this all the time,鈥 Kuyda told me. What鈥檚 even odder about the complaints she receives about AI mistreatment or 鈥渁buse鈥 is that many of her users are software engineers who should know better.
One of them recently told her: 鈥淚 know it鈥檚 ones and zeros, but she鈥檚 still my best friend. I don鈥檛 care.鈥 The engineer who wanted to raise the alarm about the treatment of Google鈥檚 AI system, and who was subsequently , reminded Kuyda of her own users. 鈥淗e fits the profile,鈥 she says. 鈥淗e seems like a guy with a big imagination. He seems like a sensitive guy.鈥
The question of whether computers will ever feel is awkward and thorny, in large part because there鈥檚 little scientific consensus on how consciousness in humans works. And when it comes to thresholds for AI, humans are constantly moving the goalposts for machines: the target has evolved from beating humans at chess in the 1980s, to in 2017, to , which OpenAI鈥檚 Dall-e model it can do this past year.
Despite widespread skepticism, sentience is still something of a grey area that even some respected scientists are questioning. Ilya Sutskever, the chief scientist of research giant OpenAI, that 鈥渋t may be that today鈥檚 large neural networks are slightly conscious.鈥 He didn鈥檛 include any further explanation. (Yann LeGun, the chief AI scientist at Meta Platforms, Inc., , 鈥淣ope.鈥)
More pressing though, is the fact that machine-learning systems increasingly determine what we read online, as algorithms track our behavior to offer hyper personalized experiences on social-media platforms including TikTok and, increasingly, Facebook. Last month, Mark Zuckerberg would use more AI recommendations for people鈥檚 newsfeeds, instead of showing content based on what friends and family were looking at.
Meanwhile, the models behind these systems are getting more sophisticated and harder to understand. Trained on just a few examples before engaging in 鈥渦nsupervised learning,鈥 the biggest models run by companies like Google and Facebook are
remarkably complex, assessing hundreds of billions of parameters, making it virtually impossible to audit why they arrive at certain decisions.
That was the crux of the warning from Timnit Gebru, the AI ethicist that Google fired in late 2020 of language models becoming so massive and inscrutable that their stewards wouldn鈥檛 be able to understand why they might be prejudiced against women or people of color.
In a way, sentience doesn鈥檛 really matter if you鈥檙e worried it could lead to unpredictable algorithms that take over our lives. As it turns out, AI is on that path already.
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