If they had not grown 300+ percent, the fine likely would have been proportionately impactful.
https://threatpost.com/zoom-settlement-85m-security-investment/168445/
Zoom Settlement: An $85M Business Case for Security Investment
… “This large Zoom settlement should be a wake-up call to not only all software and service providers, but also for the enterprises that use them,” Emil Sayegh, president and CEO of Ntirety explained to Threatpost. “The only answer is a comprehensive security posture.”
No one could have possibly predicted how quickly Zoom would become the go-to way to do business in a pandemic-plagued economy. For context, on March 15, 2020, the day stay-at-home orders started to snowball across the globe, almost 600,000 users downloaded the app. In 2020, the Zoom reported a 326 percent spike in sales, and Zoom CEO Eric Yuan announced last March the company is still anticipating a 40-percent increase in sales in 2021.
The video-conferencing platform’s exploding user base also drew attention to security, with many wondering just how secure the app really was. By late March, Zoom found itself accused of misrepresenting its security. The company’s claims of offering end-to-end encryption turned out not to be exactly true, leaving conference data visible to Zoom itself.
Zoombombings also became an issue. Pranksters inserting pornographic images and other intrusions into conference meetings and even school sessions became so regular on the platform that by April 2020, the FBI was threatening teleconference hackers with jail time. The Zoombombings also drew the attention of New York Attorney General Letitia James who scrutinized the platform’s security.
In the middle of all this, Zoom also had to remove an iOS app that was sharing analytics with Facebook without disclosing the fact to users.
What followed was a class-action lawsuit filed in California for Zoom’s privacy violations.
If you had this data, what would you do with it?
https://news.yahoo.com/china-stolen-enough-data-compile-110000433.html
China has stolen enough data to compile a 'dossier' on every American
… Matthew Pottinger, a former Trump deputy national security adviser, warned during a Senate Intelligence Committee hearing on Wednesday that China was looking to use the data it had stolen from the United States and worldwide to influence and coerce everyone from political leaders to private citizens.
“Assembling dossiers on people has always been a feature of Leninist regimes, but Beijing’s penetration of digital networks worldwide, including using 5G networks … has really taken this to a new level,” Pottinger said. “So, the Party now compiles dossiers on millions of foreign citizens around the world, using the material that it gathers to influence, target, intimidate, reward, blackmail, flatter, humiliate, and ultimately divide and conquer.”
Looks like the worms from this can Apple opened are opening other cans…
Apple Addresses CSAM Detection Concerns, Will Consider Expanding System on Per-Country Basis
Apple this week announced that, starting later this year with iOS 15 and iPadOS 15, the company will be able to detect known Child Sexual Abuse Material (CSAM) images stored in iCloud Photos, enabling Apple to report these instances to the National Center for Missing and Exploited Children, a non-profit organization that works in collaboration with law enforcement agencies across the United States.
The plans have sparked concerns among some security researchers and other parties that Apple could eventually be forced by governments to add non-CSAM images to the hash list for nefarious purposes, such as to suppress political activism.
"No matter how well-intentioned, Apple is rolling out mass surveillance to the entire world with this," said prominent whistleblower Edward Snowden, adding that "if they can scan for kiddie porn today, they can scan for anything tomorrow." The non-profit Electronic Frontier Foundation also criticized Apple's plans, stating that "even a thoroughly documented, carefully thought-out, and narrowly-scoped backdoor is still a backdoor."
(Related)
https://9to5mac.com/2021/08/06/apple-internal-memo-icloud-photo-scanning-concerns/
In internal memo, Apple addresses concerns around new Photo scanning features, doubles down on the need to protect children
… In internal memo, Apple addresses concerns around new Photo scanning features, doubles down on the need to protect children
Always a fun topic for my students to kick around.
https://www.washingtonpost.com/technology/2021/08/06/self-driving-ai-death-decisions/
How should autonomous cars make life-or-death decisions? In the best of worlds, they won’t.
The goal of machine learning, say advocates, should be getting to the point where we’re asking if it’s ethical to let people drive.
… “You need to solve safety to get to autonomy, not the other way around,” he said. But the wider industry’s approach was to begin with so-called Level 1 driver assistance features. Then, incrementally work up to a vision that has yet to be realized: Level 5 cars or vehicles advanced enough to make better decisions than humans in all driving conditions — including life-or-death scenarios.
That’s where philosophers and ethicists have long brought up one of the foundational issues facing an autonomous-driving future. It’s known as the “trolley problem,” and it basically boils down to this: How do you teach a car to make complex, life-or-death decisions in seemingly lose-lose scenarios on the road? And if cars can’t do this, would you trust them to carry your child to school or your parent to a doctor’s appointment?
… So now many, including Lunn, are approaching the issue from a different perspective: Why not stop cars from getting in life-or-death situations in the first place?
Tools & Techniques. For example: The word “computer” peaked in 1986 but is present every year covered by Google (1800 to 2019)
Add Google's Ngram Viewer to Your List of Research Tools
Google's Ngram Viewer is a search tool that students can use to explore the use of words and names in books published between 1800 and 2019. The Ngram Viewer shows users a graph illustrating the first appearance of a word or name in literature and the frequency with which that word or name appears in literature since 1800. The graph is based on the books and periodicals that are indexed in Google Books.
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