Will Artificial Intelligence ever live up to its hype? The Stute – The Stute

When I started writing about science decades ago, artificial intelligence was ascendant.IEEE Spectrum, the technology magazine for which I worked, produced a special issue on how AI would transform the world. I edited an article in which computer scientist Frederick Hayes-Roth predicted that AI would soon replace experts in law, medicine, finance and other professions.

That was 1984. That period of exuberance gave way to a slump known as an AI winter, when disillusionment set in and funding declined. In 1998, I tracked Hayes-Roth down to ask how he thought his predictions had held up. He laughed and replied, Youve got a mean streak. AI had not lived up to expectations, he acknowledged. Our minds are hard to replicate, because we are very, very complicated systems that are both evolved and adapted through learning to deal well and differentially with dozens of variables at one time. Algorithms that can perform a specialized task, like playing chess, cannot be easily adapted for other purposes. It is an example of what is called nonrecurrent engineering, Hayes-Roth explained.

Today, according to some measures, AI is booming once again. Programs such as voice and face recognition are embedded in cell phones, televisions, cars and countless other consumer products. Clever algorithms help me choose a Valentines present for my girlfriend, find my daughters building in Brooklyn and gather information for columns like this one. Venture-capital investments in AI doubled between 2017 and 2018 to $40 billion,according toWIRED.A Price Waterhouse studyestimates that by 2030 AI will boost global economic output by more than $15 trillion, more than the current output of China and India combined.

Some observers fear that AI is moving too fast.New York Timescolumnist Farhad Manjoocalls an AI-based reading and writing program, GPT-3, amazing, spooky, humbling and more than a little terrifying. Someday, he frets, he might be put out to pasture by a machine.Elon Musk made headlinesin 2018 when he warned that superintelligent AI represents the single biggest existential crisis that we face. (Really? Worse than climate change? Nuclear weapons? Psychopathic politicians? I suspect that Musk, whohas invested in AI, is trying to promote the technology with his over-the-top fearmongering.)

Experts are pushing back against the hype, pointing out that many alleged advances in AI are based on flimsy evidence. Last year, for example, a team from Google Healthclaimed inNaturethat their AI program had outperformed humans in diagnosing breast cancer. A group led by Benjamin Haibe-Kains, a computational genomics researcher,criticized the Google Health paper, arguing that the lack of details of the methods and algorithm code undermines its scientific value.

Haibe-Kainscomplained toTechnology Reviewthat the Google Health report is more an advertisement for cool technology than a legitimate, reproducible scientific study. The same is true of other reported advances, he said. Indeed, artificial intelligence, like biomedicine and other fields, has become mired in a replication crisis. Researchers make dramatic claims that cannot be tested, because researchersespecially those in industrydo not disclose their algorithms.One recent reviewfound that only 15 percent of AI studies shared their code.

There are also signs that investments in AI are not paying off. Technology analyst Jeffrey Funk recently examined 40 startup companies developing AI for health care, manufacturing, energy, finance, cybersecurity, transportation and other industries. Many of the startups were not nearly as valuable to society as all the hype would suggest, Funk reports inIEEE Spectrum. Advances in AI are unlikely to be nearly as disruptivefor companies, for workers, or for the economy as a wholeas many observers have been arguing.

The longstanding goal of general artificial intelligence, possessing the broad knowledge and learning capacity to solve a variety of real-world problems, as humans do, remains elusive. We have machines that learn in a very narrow way, Yoshua Bengio, a pioneer in the AI approach called deep learning, recentlycomplained inWIRED. They need much more data to learn a task than human examples of intelligence, and they still make stupid mistakes.

Writing inThe Gradient, an online magazine devoted to tech, AI entrepreneur and writer Gary Marcus accuses AI leaders as well as the media of exaggerating the fields progress. AI-based autonomous cars, fake news detectors, diagnostic programs and chatbots have all been oversold, Marcus contends. He warns that if and when the public, governments, and investment community recognize that they have been sold an unrealistic picture of AIs strengths and weaknesses that doesnt match reality, a newAI winter may commence.

Another AI veteran and writer, Eric Larson, questions the myth that one day AI will inevitably equal or surpass human intelligence. In his new bookThe Myth of Artificial Intelligence: Why Computers Cant Think the Way We Do, Larson argues that success with narrow applications gets us not one step closer to general intelligence. Larson says the actual science of AI (as opposed to the pseudo-science of Hollywood and science fiction novelists) has uncovered a very large mystery at the heart of intelligence, which no one currently has a clue how to solve. Put bluntly: all evidence suggests that human and machine intelligence are radically different. And yet the myth of inevitability persists.

When I first started writing about science, I believed the myth of AI. One day, surely, researchers would achieve the goal of a flexible, supersmart, all-purpose artificial intelligence, like HAL. Given rapid advances in computer hardware and software, it was only a matter of time. Gradually, I became an AI doubter, as I realized that our mindsin spite of enormous advances in neuroscience, genetics, cognitive science and, yes, artificial intelligenceremain as mysterious as ever. Heres the paradox: machines are becoming undeniably smarterand humans, it seems lately, more stupid, and yet machines will never equal, let alone surpass, our intelligence. They will always remain mere machines. Thats my guess, and my hope.

John Horgan directs the Center for Science Writings at Stevens. This column is adapted from one originally published on ScientificAmerican.com.

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Will Artificial Intelligence ever live up to its hype? The Stute - The Stute