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Mary Bolender, who lives in Las Vegas, needed to get her daughter to an emergency room, but her 2005 Chrysler van would not start. Bolender was three days behind on her monthly car payment. Her lender remotely activated a device in her car’s dashboard that prevented her car from starting. Before she could get back on the road, she had to pay more than $389, money she did not have that morning in March. “I felt absolutely helpless,” said Bolender, a single mother who stopped working to care for her daughter. Some borrowers say their cars were disabled when they were only a few days behind on their payments, leaving them stranded in dangerous neighborhoods. Others said their cars were shut down while idling at stoplights. Some described how they could not take their children to school or to doctor’s appointments. One woman in Nevada said her car was shut down while she was driving on the freeway. Attorney Robert Swearingen says there's an old common law principle that a lender can’t “breach the peace” in a repossession. That means they can’t put a person in harm’s way. To Swearingen, that would mean “turning off a car in a bad neighborhood, or for a single female at night.”
"The processes and tools used to design and manufacture semiconductors ensure that the resulting product does what it is supposed to do. However, a key question that must also be addressed is whether the product does anything else, such as behaving in ways that are unintended or malicious," said Keith Marzullo, division director of NSF's Computer and Network Systems Division.
Uber is showing, how the consumer feedback, that's easy to provide and is immediately available to anyone with a smart phone,
Right- anyone. That's exactly the problem. All you need to do to game the system as an Uber driver is put together a network of colluders to give you good reviews after you give them "rides". In the past, you only needed to find a few bad actors within the government- now literally anyone can help you with your racket.
For the record, correspondence courses have been around since 1892. But somehow MOOCs are "disruptive" (have classrooms and disruption ever gone well together?). Here's a quotation from Wikipedia to add context:
In the United States William Rainey Harper, first president of the University of Chicago, developed the concept of extended education, whereby the research university had satellite colleges of education in the wider community. In 1892 he also encouraged the concept of correspondence school courses to further promote education, an idea that was put into practice by Columbia University. Enrollment in the largest private for-profit school based in Scranton, Pennsylvania, the International Correspondence Schools grew explosively in the 1890s. Originally founded in 1888 to provide training for immigrant coal miners aiming to become state mine inspectors or foremen, it enrolled 2500 new students in 1894 and matriculated 72,000 new students in 1895. By 1906 total enrollments reached 900,000. The growth was due to sending out complete textbooks instead of single lessons, and the use of 1200 aggressive in-person salesmen. There was a stark contrast in pedagogy:
The regular technical school or college aims to educate a man broadly; our aim, on the contrary, is to educate him only along some particular line. The college demands that a student shall have certain educational qualifications to enter it, and that all students study for approximately the same length of time, and when they have finished their courses they are supposed to be qualified to enter any one of a number of branches in some particular profession. We, on the contrary, are aiming to make our courses fit the particular needs of the student who takes them
What is concerning is how many statistical tools, each with their own set of assumptions, have blossomed up within the past few decades. There are so many stats now that stats can no longer be an ancillary to other disciplines- it needs to be given its own space and statisticians need to be given respect for their unique expertise. There is simply too much knowledge in that domain for those in more theory-driven fields to be able to claim both expertise in the conceptual models of their fields and statistics.