Friday, September 20, 2019


“Look! We did something! All your worries are over!”
Key Senate Panel Approves $250 Million for Election Security
A key Senate panel on Thursday approved $250 million to help states beef up their election systems, freeing up the money after Senate Majority Leader Mitch McConnell came under criticism from Democrats for impeding separate election security legislation.
… Sen. Ron Wyden, D-Ore., who has been outspoken about the need for improved election security, called the proposal a “joke” and an effort by McConnell to “desperately” get the issue to go away.
“This amendment doesn’t even require the funding be spent on election security — it can go for anything related to elections,” Wyden said in a statement. “Giving states taxpayer money to buy hackable, paperless machines or systems with poor cybersecurity is a waste.”




Good luck!
How to erase your personal information from the internet (it’s not impossible!)
Vox – Your shopping habits, your family members’ names, even your salary is out there for anyone to see. But you can take back control. “…Before you can get a handle on digital privacy, you first have to understand what is out there. Start by Googling yourself with your browser in private or “incognito” mode — which prevents some tracking and autofilling from your own internet use — and look for social media profiles and data brokers. (Google and its popular Chrome browser hold a wealth of data, too.) This will allow you to see what a stranger would find if they began looking for your information online. For most of us, social media profiles populate the first few search results on Google. Next, find the data brokers. These companies scrape information from public records and compile it into a database. Then, as the name might suggest, they sell it. (This is technically legal, though shady.) Oftentimes, they’ll have things like your birthday, phone number, home address, salary, as well as names of neighbors and family members. This information can be used to hack into other online accounts by giving people hints on how you might answer security questions. Popular brokers include Spokeo, Intelius, BeenVerified, Whitepages, MyLife, and Radaris, but you can find many others on privacy company and reputation management firm Abine’s free library. This audit won’t be comprehensive. Rob Shavell, Abine’s chief executive, says that when his company was founded in 2012, employees removed about 1,000 pieces of information per customer over a two-year period. Today, that number has reached 1,900. This amount of information is too much for the average person to comprehend or completely erase — but you can certainly make it harder for others to find by getting it off common websites…”




When you can’t do one thing, do another thing. It’s all techno-gibberish, so no one sees it.
Allegations of Google’s Hidden Web Tracking Pages Raise New Privacy Concerns
… The details of Google’s hidden web tracking system to serve personalized ads were outlined by Brave’s Chief Policy Officer, Dr. Johnny Ryan, who has been campaigning very publicly against Google for the past year. [So, perhaps a bit of bias? Bob]
… when users opt out of allowing tracking cookies, that’s when the task of serving up personalized ads becomes much more difficult.
So, as might be expected, Google has come up with a workaround for this problem. According to Brave, Google still creates unique identifiers for each web user linked to their browsing activity – but instead of sending this information directly to advertisers as part of bid requests, it creates an elaborate network of hidden web pages that advertisers can log into instead. Once they are logged in, they can then grab this personally identifiable information and match it with any information they already have about the user in order to create very sophisticated advertising profiles and decide how much to bid. But there’s just one problem with this indirect form of web tracking – it’s not GDPR-compliant.




Like all laws, this one will have law breakers.
A facial recognition ban is coming to the US, says an AI policy advisor
MIT Technology Review: San Francisco and Oakland, California, and Somerville, Massachusetts, have outlawed certain uses of facial recognition technology, with Portland, Oregon, potentially soon to follow. That’s just the beginning, according to Mutale Nkonde, a Harvard fellow and AI policy advisor. That trend will soon spread to states, and there will eventually be a federal ban on some uses of the technology, she said at MIT Technology Review’s EmTech conference. Which uses will face a ban, it’s not yet clear: while some cities have banned use by police departments, Portland’s focus is restricting use by the private sector. And the debate is not confined to the US. In the UK, there is growing concern over the use of live facial recognition after it emerged that a property developer had been collecting images of people’s faces in an area of London for two years without informing them. We still don’t know how that data was used, Daragh Murray, a human rights lawyer at the University of Essex, said on stage. There will be legal challenges, and there will eventually be regulation,” he predicted…”


(Related)
New Biometrics
This article discusses new types of biometrics under development, including gait, scent, heartbeat, microbiome, and butt shape (no, really).




Can I use this information to avoid celebrity? A podcast!
Why Being a Celebrity Is Big Business
… “When the photograph became something anyone could buy, everyone who wanted to be famous made sure they were photographed.”
... “No one group controls the narrative. No one group controls the outcome. That’s part of the reason we’re so engaged. We don’t know how it’s going to turn out.”




Less control than Facebook, wider coverage than dirt.
The Internet of Things Is Still a Privacy Dumpster Fire, Study Finds
… The full study, a joint collaboration between Northeastern University and Imperial College London took a closer look at 81 popular smart TVs, streaming dongles, smart speakers, and video doorbells made by vendors including Google, Roku, and Amazon.
The results aren’t comforting: the majority of the devices collected and shared information including your IP address, device specs (like MAC address), usage habits, and location data. That data is then shared with a laundry list of third parties, regardless of whether the user actually has a relationship with those companies.
“Nearly all TV devices in our testbeds contacts Netflix even though we never configured any TV with a Netflix account,” the researchers said.


(Related)
California's IoT Security Law Causing Confusion
The law, which goes into effect January 1, requires manufacturers to equip devices with 'reasonable security feature(s).' What that entails is still an open question.




Gambling on lawsuits. Is this the best possible use for AI in the legal field?
This young litigation finance startup just secured $100 million to chase cases it thinks will win
… What is litigation finance? In a nutshell, the idea is to fund plaintiffs and law firms in cases where it looks like there will be a winning ruling. When everything goes the right way, the capital that helps fund the lawsuits is returned — and then some — in return for the risk taken. Litigation finance firms — and there’s a growing number of them — basically want to estimate as accurately as possible the risk involved so they can bet on the right horses.
Interestingly, one of the newest entrants onto the scene wasn’t founded by career attorneys or spun out of a hedge fund or private equity group. Instead it’s a young, 11-person company called Legalist that’s run by a 23-year-old Harvard dropout named Eva Shang, who co-founded the company with her college classmate Christian Haigh, who also dropped out.




Mis-learning?
New White Paper Explores Privacy and Security Risk to Machine Learning Systems
The Future of Privacy Forum (FPF) released a white paper, WARNING SIGNS: The Future of Privacy and Security in an Age of Machine Learning, exploring how machine learning systems can be exposed to new privacy and security risks, and explaining approaches to data protection.




A podcast.
Doctor Bot: How artificial intelligence is already changing healthcare, and what’s coming next
Artificial intelligence is at the center of many emerging technologies today, and perhaps nowhere are the implications more meaningful than in healthcare.
So where is AI making an impact in healthcare today? What will the future bring, and how should healthcare providers and technologists get ready?
On the Season 4 premiere of GeekWire’s Health Tech Podcast, we address all of those questions with three guests: Linda Hand, CEO of Cardinal Analytx Solutions, a venture-backed company that uses predictive technology to identify people at high risk of declining health, and match them with interventions; Colt Courtright, who leads Corporate Data & Analytics at Premera Blue Cross; and Dr. David Rhew, Microsoft’s new chief medical officer and vice president of healthcare.
… Implications for data and privacy
Hand: I think we have a really inconvenient relationship with privacy. Everybody wants to keep their stuff private, but everybody wants the benefit of having the insights from using everybody else’s data. There’s just a huge disconnect there.
Rhew: It’s very important to be proactive on this because once the information moves outside of the medical record into the individual’s phone, it’s no longer under the context or umbrella of HIPAA. They can do what they want with that. Now we’re talking about the Wild West in terms of how data can be used and moved around. We have to really start thinking proactively about how do we put those safeguards in without being too restrictive at the same point.
Courtright: I think we are in an inflection point where we are being forced to grapple with these kinds of considerations. The Privacy and Security Standards that have governed what I would call the traditional actors in healthcare — the health plans and the providers — will remain the same. The shift is really to say the member owns their medical record. The member should be able to control that, and use it, place it where they would like it.




Teasing an interesting series?
The Artificial Intelligence Apocalypse (Part 1)
Is It Time to Be Scared Yet?




Perspective.
50 Trillion Calculations per Second in the Palm of Your Hand—Data Sheet
The number of transistors packed onto a modern chip inside your phone or PC runs into the billions but it’s still sometimes amazing to comprehend the computing power you can easily hold in the palm of your hand. When I met Intel vice presidents Gadi Singer and Carey Kloss on Wednesday, they showed me a new circuit board the company has created for speeding up artificial intelligence apps.
The board is the size of an SSD drive, made to plug into a standard PC or server. The Nervana chip at its heart is no bigger than a quarter. But it can perform some 50 trillion operations per second and greatly speed up the job of an A.I. program that has already been trained as it makes inferences such as identifyng objects in photos.




For me and my geeks.
Microsoft: We want you to learn Python programming language for free
Microsoft has launched a new 44-part series called Python for Beginners on YouTube, consisting of three- to four-minute lessons from two self-described geeks at Microsoft who love programming and teaching.
The course isn't quite for total beginners as it assumes people have done a little programming in JavaScript or played around with the MIT-developed Scratch visual programming language aimed at kids.
But it could help beginners kick-start ambitions to build machine-learning apps, web applications, or automate processes on a desktop.
Microsoft has published a page on GitHub containing additional resources, including slides and code samples to help students become better at Python.



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