Over the past six months, I spoke with more than two dozen annotators from around the world, and while many of them were training cutting-edge chatbots, just as many were doing the mundane manual labor required to keep AI running. There are people classifying the emotional content of TikTok videos, new variants of email spam, and the precise sexual provocativeness of online ads. Others are looking at credit-card transactions and figuring out what sort of purchase they relate to or checking e-commerce recommendations and deciding whether that shirt is really something you might like after buying that other shirt. Humans are correcting customer-service chatbots, listening to Alexa requests, and categorizing the emotions of people on video calls. They are labeling food so that smart refrigerators don’t get confused by new packaging, checking automated security cameras before sounding alarms, and identifying corn for baffled autonomous tractors.

While open access is a cornerstone of Wikipedia’s design principles, some worry the unrestricted scraping of internet data allows AI companies like OpenAI to exploit the open web to create closed commercial datasets for their models. This is especially a problem if the Wikipedia content itself is AI-generated, creating a feedback loop of potentially biased information, if left unchecked.

York points to a 1946 U.S. Supreme Court decision, Marsh v. Alabama, which held that private entities can become sufficiently large and public to require them to be subject to the same Constitutional constraints as government entities. Though York says this ruling has “not as of this writing been applied to the quasi-public spaces of the internet”

even if YouTube were treated as an extension of government due to its size and required to retain every non-criminal video uploaded to its service, it would make as much of a political statement elsewhere, if not more. In France and Germany, it — like any other company — must comply with laws that require the removal of hate speech, laws which in the U.S. would be unconstitutional

Several European countries have banned Google Analytics because it is impossible for their citizens to be protected against surveillance by American intelligence agencies.

TikTok has downplayed the seriousness of its platform by framing it as an entertainment venue. As with other platforms, disinformation on TikTok spreads and multiplies. These factors may have an effect on how people vote. But the sudden alarm over yet-unproved allegations of algorithmic meddling in TikTok to boost Chinese interests is laughable to those of us who have been at the mercy of American-created algorithms despite living elsewhere. American state actors have also taken advantage of the popularity of social networks in ways not dissimilar from political adversaries.

what York notes is how aligned platforms are with the biases of upper-class white Americans; not coincidentally, the boards and executive teams of these companies are dominated by people matching that description.

It should not be so easy to point to similarities in egregious behaviour; corruption of legal processes should not be so common. I worry that regulators in China and the U.S. will spend so much time negotiating which of them gets to treat the internet as their domain while the rest of us get steamrolled by policies that maximize their self-preferencing.

to ensure a clear set of values projected into the world. One way to achieve that is to prefer protocols over platforms.

Yes, the country’s light touch approach to regulation and generous support of its tech industry has brought the world many of its most popular products and services. But it should not be assumed that we must rely on these companies built in the context of middle- and upper-class America.