The value of privacy? $60M / 15M = $4 per victim (minus $3.99 to the lawyers?)
https://www.databreaches.net/morgan-stanley-to-pay-60-million-to-resolve-data-security-lawsuit/
Morgan Stanley to pay $60 million to resolve data security lawsuit
Jonathan Stempel reports:
Morgan Stanley agreed to pay $60 million to settle a lawsuit by customers who said the Wall Street bank exposed their personal data when it twice failed to properly retire some of its older information technology.
A preliminary settlement of the proposed class action on behalf of about 15 million customers was filed on Friday night in Manhattan federal court, and requires approval by U.S. District Judge Analisa Torres.
Read more from Reuters at WTVB.
“It’s for the children!” What if we define an “incident” as poor teaching?
https://www.pogowasright.org/proposed-bill-would-allow-video-audio-recording-in-florida-classrooms/
Proposed bill would allow video & audio recording in Florida classrooms
Evan Donovan reports:
A new bill filed in the Florida Legislature would allow video and audio recordings in school classrooms, forcing teachers to wear microphones and allowing parents to review video of any ‘incidents.’
HB 1055 is sponsored by Fla. Rep. Bob Rommel (R-Naples).
It would allow school districts to install video cameras in classrooms for the purposes of recording an “incident” — which it defines as abuse or neglect of a student by an employee or another student.
Read more at WFLA.
Perspective.
Understanding the Taxonomy of Data in Challenging Jurisdictions
Most people are familiar with the taxonomy of species. This process classifies animals to organize and understand how they are different and alike. For over a decade, this is also how humans have explored the world of data. The more research conducted into emerging markets, the bigger the reliance on a classification system to understand how users can access the public data collected on a daily basis. This system is simply the Taxonomy of Data.
When looking at the global supply of information required to complete legal, financial and corporate transactions, clear category lines appear. To simplify, let’s focus this discussion on corporate records. Now think of a spectrum: to the far left is the digitized information that is online, centralized and open. To the far right, is the opposite: paper files inside metal cabinets. From the far left to far right includes the spectrum of five different categories.
Some are obvious, number one is certain.
https://www.fastcompany.com/90707807/2022-promises-to-bring-massive-change-to-ai-regulation
2022 promises to bring massive change to AI regulation
… 1. THE U.S. WILL CONTINUE TO PUSH FOR VOLUNTARY STANDARDS AND FRAMEWORKS, DESPITE CLEAR EVIDENCE THAT THEY WON’T WORK.
The evolution of self-driving cars.
https://www.digitaltrends.com/cars/aptiv-machine-learning-radar-ces-2022/
Aptiv’s machine learning-powered radar sees even what you don’t
… Think of a self-driving car as a human being; radars are the eyes and machine learning technology is the brain. Fitting radars to a car’s body allows it to scope out the environment it operates in. It can detect that there’s a car in front of it, that there’s a bike coming the other way, and that there’s a traffic light it needs to stop for. These are fairly straightforward tasks that most self-driving prototypes already perform.
Machine learning takes this feature to the next level by allowing a car to remember the different scenarios and objects it has encountered. In turn, it can plan ahead: it knows that there is, say, a crowded bus stop around the corner that it might need to slow down for.
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