This year’s Computers. Privacy, and Data Protection conference arrived at a crossroads moment. The European Commission, wanting to compete to “win the AI race”, is pursuing an agenda of simplification. Based on a recent report by former European Central Bank president Mario Draghi, it’s looking to streamline or roll back some of the regulation the EU is famous for.
Cue discussion of “The Brussels Effect”, derived from The California Effect, which sees compliance with regulation voluntarily shift towards the strictest regime. As Mireille Hildebrandt explained in her opening keynote, this phenomenon requires certain conditions. In the case of data protection legislation, that means three things: that companies will comply with the most stringent rules to ensure they are universally compliant, and that they want and need to compete in the EU. If you want your rules to dominate, it seems like a strategy. Except: China’s in-progress data protection regime may well be the strongest when it’s complete, but in that very different culture it will include no protection against the government. So maybe not a winning game?
Hildebrandt went on to prove with near-mathematical precision that na artificial general intelligence can never be compatible with the General Data Protection Regulation – AGI is “based on an incoherent conceptualization” and can’t be tested.
“Systems built with the goal of performing any task under any circumstances are fundamentally unsafe,” she said. “They cannot be designed for safety using fundamental engineering principles.”
AGI failing to meet existing legal restrictions seems minor in one way, since AGI doesn’t exist now, and probably never will. But as Hildebrandt noted, huge money is being poured into it nonetheless, and the spreading impact of that is unavoidable even if it fails.
The money also makes politicians take the idea seriously, which is the likely source of the EU’s talk of “simplification” instead of fundamental rights. Many fear that forthcoming simplification packages will reopen GDPR with a view to weakening the core principles of data minimization and purpose limitation. As one conference attendee asked, “Simplification for whom?”
In a panel on conflicting trends in AI governance, Shazeda Ahmed agreed: “There is no scientific basis around the idea of sentient AI, but it’s really influential in policy conversations. It takes advantage of fear and privileges technical knowledge.”
AI is having another impact technology companies may not have notidced yet: it is aligning the interests of the environmental movement and the privacy field.
Sustainability and privacy have often been played off against each other. Years ago, for example, there were fears that councils might inspect household garbage for elements that could have been recycled. Smart meters may or may not reduce electricity usage, but definitely pose privacy risks. Similarly, many proponents of smart cities stress the sustainability benefits but overlook the privacy impact of the ubiquitous sensors.
The threat generative AI poses to sustainability is well-documented by now. The threat the world’s burgeoning data centers pose to the transition to renewables is less often clearly stated and it’s worse than we might think. Claude Turmes, for example, highlighted the need to impose standards for data centers. Where an individual is financially incentivized to charge their electric vehicle at night and help even out the load on the grid, the owners of data centers don’t care. They just want the power they need – even if that means firing up coal plants to get it. Absent standards, he said, “There will be a whole generation of data centers that…use fossil gas and destroy the climate agenda.” Small nuclear power reactors, which many are suggesting, won’t be available for years. Worse,, he said, the data centers refuse to provide information to help public utilities plan despite their huge cosumption.
Even more alarming was the panel on the conversion of the food commons into data spaces. So far, most of what I had heard about agricultural data revolved around precision agriculture and its impact on farm workers, as explored in work (PDF) by Karen Levy, Solon Barocas, and Alexandra Mateescu. That was plenty disturbing, covering the loss of autonomy as sensors collect massive amounts of fine-grained information, everything from soil moisture to the distribution of seeds and fertilizer.
Much more alarming to see Monja Sauvagerd connect up in detail the large companies that are consolidating our food supply into a handful of platforms. Chinese government-owned Sinochem owns Syngenta; John Deere expanded by buying the machine learning company Blue River; and in 2016, Bayer bought Monsanto.
“They’re blurring the lines between seeds, agrichemicals, bio technology, and digital agriculture,” Sauvagerd said. So: a handful of firms in charge of our food supply are building power based on existing concentration. And, selling them cloud and computing infrastructure services, the array of big technology platforms that are already dangerously monopolistic. In this case, “privacy”, which has always seemed abstract, becomes a factor in deciding the future of our most profoundly physical system. What rights should farmers have to the data their farms generate?
In her speech, Hildebrandt called the goals of TESCREAL – transhumanism, extropianism, singularitarianism, cosmism, rationalist ideology, effective altruism, and long-termism – “paradise engineering”. She proposed three questions for assessing new technologies: What will it solve? What won’t it solve? What new problems will it create? We could add a fourth: while they’re engineering paradise, how do we live?
Illustrations: Brussels’ old railway hub, next to its former communications hub, the Maison de la Poste, now a conference center.
Wendy M. Grossman is the 2013 winner of the Enigma Award. Her Web site has an extensive archive of her books, articles, and music, and an archive of earlier columns in this series. She is a contributing editor for the Plutopia News Network podcast. Follow on Mastodon or Bluesky.
