The Privacy Foundation (https://law.du.edu/content/the-privacy-foundation ) will host a seminar on this topic on Oct 23rd. (More info as it becomes available)
FTC to Launch New Study on Personalized Pricing
Federal Trade Commission Chairman Andrew Ferguson recently announced plans for a new study of personalized pricing under Section 6(b) of the FTC Act. The announcement follows the Commission’s 2024 study and issuance of initial findings in January 2025 under the previous administration, and its August 2026 proposed enforcement policy statement addressing the use of consumers’ personal data to set individualized prices under the current administration.
Not just for lawyers…
https://www.bespacific.com/ai-in-practice-privilege-work-product-and-discoverability/
AI in Practice: Privilege, Work Product, and Discoverability
Morgan Lewis presentation, October 6, 2026. Technology Marathon – AI in Practice: Privilege, Work Product, and Discoverability
Agenda:
Generative AI (GenAI) & IG/eDiscovery Considerations
New Frontier: Privilege and AI
Hypothetical Discussion Scenarios
Considerations & Best Practices
Q&A
Journalists even Trump would trust?
https://www.schneier.com/blog/archives/2026/10/how-technology-empowers-and-imperils-dictators.html
How Technology Empowers—and Imperils—Dictators
Two weeks after Moscow’s full-scale invasion of Ukraine in March 2022, the Russian TV Channel One editor Marina Ovsyannikova burst onto the set of the evening newscast. She held up a hand-drawn sign behind the anchor’s head that read: “Stop the war. Don’t believe propaganda. They’re lying to you!” She shouted, “No to war!” until she was dragged away.
No one has protested the war on Russian television since then, partly as a result of tighter security and a general climate of fear. But in October 2024, Margarita Simonyan, one of Russia’s chief propagandists, gave another explanation. A growing number of the RT network’s anchors, she explained to an interviewer, are not real. “That face doesn’t exist. We generated the voice and everything else.” They were, she meant, produced by artificial intelligence. In a follow-up interview with the newspaper Vedomosti, she spelled out the logic: “These anchors don’t need a salary or insurance,” she said. “They won’t get arrested, and the police won’t search their homes. It’s all wonderful and terrifying at the same time.”
A new category of logistical targets. (Each worth tens of billions?)
Drones hit Yandex data center in first major attack on Russian data hub
Drones hit a major data center in Russia’s Ryazan region owned by the country’s leading Artificial Intelligence and technology company Yandex, the company said on Thursday.
It added that the attack caused a fire and forced the company to fully suspend the center’s operations. The company said it was dealing with the consequences and restoring affected services.
The company said that its core consumer services were not affected. Yandex runs YandexGPT, one of Russia’s leading generative AI models.
Another science fiction tool becomes real.
https://www.sciencedirect.com/science/article/pii/S1872497326001997
Human airborne eDNA as forensic evidence in simulated residential burglaries
Airborne environmental DNA (eDNA) is emerging as a valuable tool in forensic genetics to support individual identification in cases where other biological traces are limited or absent. Here, we investigate the potential of human airborne eDNA as a source of forensic evidence by evaluating its recovery following simulated residential burglaries. A total of 391 eDNA samples were collected from air, dust, and surfaces in 22 households by two laboratories. Samples were recovered under two conditions: immediately after residents vacated the premises and following a 15-minute simulated burglary. Resulting DNA profiles were compared against reference databases of residents and intruders. Under normal occupancy, air samples detected regular occupants, whereas airborne eDNA collected 30 min after simulated burglaries identified intruders in 82% of cases in one laboratory and 36% in the other. When combined with dust and surface samples, airborne eDNA provided additional evidence for detecting legitimate occupants, including past visitors. Variation in eDNA recovery across households and laboratories likely reflects differences in occupancy patterns, shedding abilities, cleaning and environmental conditions. This study demonstrates that, under controlled short-delay conditions, airborne eDNA can recover intruder-associated DNA profiles after brief occupancy, supporting its potential as a complementary source of forensic information.
Tools & Technoques.
https://www.bespacific.com/review-all-the-information-amazon-collects-about-you/
Review all the information Amazon collects about you
TechCrunch: “It shouldn’t come as a surprise that Amazon collects data about you based on what you buy. If you buy a lot of cat litter, Amazon will probably infer that you have cats, or if you buy a lot of anti-acne skin products, then Amazon might guess you’re prone to breakouts. Even if we know that Amazon customizes our shopping experiences based on our purchase history, it still comes as a surprise to see all of these personal details laid out in a convenient list. Especially when those details get uncomfortably intimate. One Threads user came across this section of her Amazon settings where you can see who the shopping giant thinks you are, and alongside more benign assumptions like “Shops from women’s departments” and “Probably owns a Shark robot vacuum,” she found that Amazon assumes she “has flat buttocks.” “I stumbled upon a page of assumptions that Amazon has made about me based on my purchases and I’m literally speechless,” an Amazon customer, @fangirlinmegan, wrote on Threads. “I mean it ain’t wrong but damn did you have to call me out like that?” In less than a day, the post garnered over a million views, including many from users who were curious what their own Amazon profiles might reveal. Here’s how you find out. On desktop, you can find this page by hovering over where Amazon says “Hello, [your name]” in the upper right corner. Then click “Account” under the “Your Account” section. Under the “Ordering and shopping preferences” section, click “Your Shopping preferences.” From here, you can add in information of your own, like your shoe size, interests, and dietary preferences. But we’re not here to tell Amazon that it should stop selling you beef jerky since you’re a vegetarian. We’re here to see if Amazon thinks you have “flat buttocks.” When you scroll to the bottom of the page, you’ll see a blue hyperlinked option that says “Manage your information.” Once you click that, you’ll see what dirt Amazon has on you. On the mobile app, you can get here by clicking the hamburger icon from the bottom menu bar, then navigating to Account > Shopping preferences > About you. For me, Amazon has gleaned that I am someone who “practices photography,” “plays collectible card games,” and is “invested in the Apple ecosystem.” This is all true. Amazon has even flattered me by noting that I “read diverse non-fiction,” to which I say — why yes, I am indeed an open-minded intellectual with a thirst for knowledge. Thank you for noticing. Other colleagues of mine found that Amazon correctly noted their interests in vinyl records and ceramics, as well as a penchant for “natural materials” in home decor and clothing that “prioritizes comfort.” None of us had anything as affronting as “has flat buttocks,” but the Threads user noted that this was likely because she had purchased “butt scrunch leggings.” Tech companies know too much about us, and it’s jarring to realize just how closely they’re paying attention to how we use their platforms. We live in a world of alarming surveillance, but at least I know that Amazon doesn’t think my butt is flat.