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)
https://www.hunton.com/privacy-and-cybersecurity-law-blog/federal-trade-commission-to-launch-new-study-on-personalized-pricing
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?)
https://www.nbcnews.com/world/russia/drones-hit-yandex-data-center-first-major-attack-russian-data-hub-rcna602241
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.