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Because the term “AI” is ambiguous, it makes having clear discussions more difficult. In one sense, it is the name of a subfield of computer science. In another, it can refer to the computing techniques developed in that subfield, most of which are now focused on pattern matching based on large data sets and the generation of new media based on those patterns. Finally, in marketing copy and start-up pitch decks, the term “AI” serves as magic fairy dust that will supercharge your business.

output can seem so plausible that without a clear indication of its synthetic origins, it becomes a noxious and insidious pollutant of our information ecosystem

Not only do we risk mistaking synthetic text for reliable information, but also that noninformation reflects and amplifies the biases encoded in its training data—in this case, every kind of bigotry exhibited on the Internet. Moreover the synthetic text sounds authoritative despite its lack of citations back to real sources. The longer this synthetic text spill continues, the worse off we are, because it gets harder to find trustworthy sources and harder to trust them when we do.

the people selling this technology propose that text synthesis machines could fix various holes in our social fabric: the lack of teachers in K–12 education, the inaccessibility of health care for low-income people and the dearth of legal aid for people who cannot afford lawyers, just to name a few

the systems rely on enormous amounts of training data that are stolen without compensation from the artists and authors who created it in the first place

the task of labeling data to create “guardrails” that are intended to prevent an AI system’s most toxic output from seeping out is repetitive and often traumatic labor carried out by gig workers and contractors, people locked in a global race to the bottom for pay and working conditions.

employers are looking to cut costs by leveraging automation, laying off people from previously stable jobs and then hiring them back as lower-paid workers to correct the output of the automated systems. This can be seen most clearly in the current actors’ and writers’ strikes in Hollywood, where grotesquely overpaid moguls scheme to buy eternal rights to use AI replacements of actors for the price of a day’s work and, on a gig basis, hire writers piecemeal to revise the incoherent scripts churned out by AI.

too many AI publications come from corporate labs or from academic groups that receive disproportionate industry funding. Much is junk science—it is nonreproducible, hides behind trade secrecy, is full of hype and uses evaluation methods that lack construct validity

We urge policymakers to instead draw on solid scholarship that investigates the harms and risks of AI—and the harms caused by delegating authority to automated systems, which include the unregulated accumulation of data and computing power, climate costs of model training and inference, damage to the welfare state and the disempowerment of the poor, as well as the intensification of policing against Black and Indigenous families. Solid research in this domain—including social science and theory building—and solid policy based on that research will keep the focus on the people hurt by this technology.

Decades ago, Iranian law required women to take off headscarves in line with modernization plans, with police sometimes forcing women to do so. But hijab wearing became compulsory in 1979 when the country became a theocracy.

Shajarizadeh and others monitoring the ongoing outcry have noticed that some people involved in the protests are confronted by police days after an alleged incident—including women cited for not wearing a hijab. “Many people haven't been arrested in the streets,” she says. “They were arrested at their homes one or two days later.”

Some face recognition in use in Iran today comes from Chinese camera and artificial intelligence company Tiandy. Its dealings in Iran were featured in a December 2021 report from IPVM, a company that tracks the surveillance and security industry.

US Department of Commerce placed sanctions on Tiandy, citing its role in the repression of Uyghur Muslims in China and the provision of technology originating in the US to Iran’s Revolutionary Guard. The company previously used components from Intel, but the US chipmaker told NBC last month that it had ceased working with the Chinese company.

When Steven Feldstein, a former US State Department surveillance expert, surveyed 179 countries between 2012 and 2020, he found that 77 now use some form of AI-driven surveillance. Face recognition is used in 61 countries, more than any other form of digital surveillance technology, he says.