Machines and machine learning change the ways we think about humans and humanity. In cyberspace, we create “digital doubles,” or data doubles, or digital human twins (DHTs), and now these digital doubles move through assemblages of AI systems. New politics are emerging from this tangle.
Reading about yesterday’s Meta settlement, the global movement to get kids off tech, “chopped uncs,” and thinking about the dance between students and our local school system’s IT department during the COVID-19 shutdown, when my then-elementary schooler was unwittingly participating in a digital cold war:
In our community, the kids were in remote learning for a full year and a half, and the IT department chased them around their approved digital tools like a game of whack a mole, shutting down access to chat and collaboration. In the meantime, almost no socialization happened between students that wasn’t directly observed by teachers. By 2021, the kids were engaged in secret, digital note-passing, chatting within Google docs and PPT slide decks and Pinterest DMs to avoid teacher surveillance on their approved tools. Where there is a will to socialize, there is a way.
Business Insider provides an update on how teen social media bans are going in Australia, and it’s not great! After a few months, kids steadily got back online, nearing or matching pre-ban levels.
“We all know that you can get lied to online at any point. If you don’t get that this is an obvious lie, then you’re washed and you’re unc and you’re chopped.”
Question for parents: How are you teaching your teens to stay safe and think about safety and security while they surf, shop, chat and learn on their digital apps and devices? Are you sharing books, articles and videos with one another? If so, which ones? I’m asking for a friend; the friend is me.
Chester argues that universities should govern AI by classifying data by sensitivity rather than approving specific tools. Public data goes anywhere –> regulated data requires an institutional contract –> sensitive data requires a local system. He also makes a renewed case for MS Copilot.
A person was found to be hiding an AI prompt injection in a legal filing that tells any AI that reads it to side with his perspective. The judge in this case likened it to “an automated agent communicat[ing] covertly with a juror during trial.”
Tom’s Hardware on Mythos and marketing hype. Additional commentary from Michael Corn, asking whether Mythos coverage reinforces or establishes perceptions about cybersecurity.
A smart take on nonconsensual deepfakes, considering them not just as a social issue but as a cybersecurity issue, as they’re often connected to broader financial and social harassment campaigns.
The education sector is a big target for cyber attacks, with higher ed being one of the largest and most sensitive targets for bad actors. A recent study shows that education is unprepared as a sector and many institutions lack resources to support a thoughtful and robust cybersecurity program.
There’s a reasonable argument that this is the single biggest breach of public data by private person, ever. NYT gift link: www.nytimes.com/2025/02/1…