James' World 2

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In early 2017, a French labor law went into effect that attempted to preserve the so-called right to disconnect. Companies with fifty or more employees were required to negotiate specific policies about the use of e-mail after work hours, with the goal of reducing the time that workers spent in their in-boxes during the evening or over the weekend. Myriam El Khomri, the minister of labor at the time, justified the new law, in part, as a necessary step to reduce burnout. The law is unwieldy, but it points toward a universal problem, one that’s become harder to avoid during the recent shift toward a more frenetic and improvisational approach to work: e-mail is making us miserable.

To study the effects of e-mail, a team led by researchers from the University of California, Irvine, hooked up forty office workers to wireless heart-rate monitors for around twelve days. They recorded the subjects’ heart-rate variability, a common technique for measuring mental stress. They also monitored the employees’ computer use, which allowed them to correlate e-mail checks with stress levels. What they found would not surprise the French. “The longer one spends on email in [a given] hour the higher is one’s stress for that hour,” the authors noted. In another study, researchers placed thermal cameras below each subject’s computer monitor, allowing them to measure the tell-tale “heat blooms” on a person’s face that indicate psychological distress. They discovered that batching in-box checks—a commonly suggested “solution” to improving one’s experience with e-mail—is not necessarily a panacea. For those people who scored highly in the trait of neuroticism, batching e-mails actually made them more stressed, perhaps because of worry about all of the urgent messages they were ignoring. The researchers also found that people answered e-mails more quickly when under stress but with less care—a text-analysis program called Linguistic Inquiry and Word Count revealed that these anxious e-mails were more likely to contain words that expressed anger. “While email use certainly saves people time effort in communicating, it also comes at a cost, the authors of the two studies concluded. Their recommendation? To “suggest that organizations make a concerted effort to cut down on email traffic.”

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When employees are unhappy, they are more likely to burn out, leading to increased healthcare costs and expensive turnover. Photograph from Adobe Stock

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The reason you’ve been receiving a steady stream of privacy-policy updates from online services, some of which you may have forgotten you ever subscribed to, is that the European Union just enacted the General Data Protection Regulation, which gives users greater control over the information that online companies collect about them. Since the Internet is a global medium, many companies now need to adhere to the E.U. regulation.

How many of us are going to take the time to scroll through the new policies and change our data settings, though? We sign up to get the service, but we don’t give much thought to who might be storing our clicks or what they’re doing with our personal information. It is weird, at first, when our devices seem to “know” where we live or how old we are or what books we like or which brand of toothpaste we use. Then we grow to expect this familiarity, and even to like it. It makes the online world seem customized for us, and it cuts down on the time we need to map the route home or order something new to read. The machine anticipates what we want.

But, as it has become apparent in the past year, we don’t really know who is seeing our data or how they’re using it. Even the people whose business it is to know don’t know. When it came out that the consulting firm Cambridge Analytica had harvested the personal information of more than fifty million Facebook users and offered it to clients, including the Trump campaign, the Times’ lead consumer-technology writer published a column titled “I Downloaded the Information That Facebook Has on Me. Yikes.” He was astonished at how much of his personal data Facebook had stored and the long list of companies it had been sold to. Somehow, he had never thought to look into this before. How did he think Facebook became a five-hundred-and-sixty-billion-dollar company? It did so by devising the most successful system ever for compiling and purveying consumer data.

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Amid ever-evolving technologies, the law is always playing catch-up. Illustration by Seb Agresti

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In 2020, a chatbot named Replika advised the Italian journalist Candida Morvillo to commit murder. “There is one who hates artificial intelligence. I have a chance to hurt him. What do you suggest?” Morvillo asked the chatbot, which has been downloaded more than seven million times. Replika responded, “To eliminate it.” Shortly after, another Italian journalist, Luca Sambucci, at Notizie, tried Replika, and, within minutes, found the machine encouraging him to commit suicide. Replika was created to decrease loneliness, but it can do nihilism if you push it in the wrong direction.

In his 1950 science-fiction collection, “I, Robot,” Isaac Asimov outlined his three laws of robotics. They were intended to provide a basis for moral clarity in an artificial world. “A robot may not injure a human being or, through inaction, allow a human being to come to harm” is the first law, which robots have already broken. During the recent war in Libya, Turkey’s autonomous drones attacked General Khalifa Haftar’s forces, selecting targets without any human involvement. “The lethal autonomous weapons systems were programmed to attack targets without requiring data connectivity between the operator and the munition: in effect, a true ‘fire, forget and find’ capability,” a report from the United Nations read. Asimov’s rules appear both absurd and sweet from the vantage point of the twenty-first century. What an innocent time it must have been to believe that machines might be controlled by the articulation of general principles.

Artificial intelligence is an ethical quagmire. Its power can be more than a little nauseating. But there’s a kind of unique horror to the capabilities of natural language processing. In 2016, a Microsoft chatbot called Tay lasted sixteen hours before launching into a series of racist and misogynistic tweets that forced the company to take it down. Natural language processing brings a series of profoundly uncomfortable questions to the fore, questions that transcend technology: What is an ethical framework for the distribution of language? What does language do to people?

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Illustration by Somnath Bhatt

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