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The Unproven, Invasive Surveillance Technology Schools Are Using to Monitor Students

Accepted submission by chromas at 2019-06-29 21:05:32 from the cough-hack-fraud dept.
/dev/random
ProPublica [propublica.org]:

Ariella Russcol specializes in drama at the Frank Sinatra School of the Arts in Queens, New York, and the senior’s performance on this April afternoon didn’t disappoint. While the library is normally the quietest room in the school, her ear-piercing screams sounded more like a horror movie than study hall. But they weren’t enough to set off a small microphone in the ceiling that was supposed to detect aggression.

A few days later, at the Staples Pathways Academy in Westport, Connecticut, junior Sami D’Anna inadvertently triggered the same device with a less spooky sound — a coughing fit from a lingering chest cold. As she hacked and rasped, a message popped up on its web interface: “StressedVoice detected.”

“There we go,” D’Anna said with amusement, looking at the screen. “There’s my coughs.”

The students were helping ProPublica test an aggression detector that’s used in hundreds of schools, health care facilities, banks, stores and prisons worldwide, including more than 100 in the U.S. Sound Intelligence, the Dutch company that makes the software for the device, plans to open an office this year in Chicago, where its chief executive will be based.

[...] By deploying surveillance technology in public spaces like hallways and cafeterias, device makers and school officials hope to anticipate and prevent everything from mass shootings to underage smoking. Sound Intelligence also markets add-on packages to recognize the sounds of gunshots, car alarms and broken glass, while Hauppauge, New York-based Soter Technologies develops sensors that determine if students are vaping in the school bathroom. The Lockport school district in upstate New York is planning a facial-recognition system to identify intruders on campus.

Yet ProPublica’s analysis, as well as the experiences of some U.S. schools and hospitals that have used Sound Intelligence’s aggression detector, suggest that it can be less than reliable. At the heart of the device is what the company calls a machine learning algorithm. Our research found that it tends to equate aggression with rough, strained noises in a relatively high pitch, like D’Anna’s coughing. A 1994 YouTube clip of abrasive-sounding comedian Gilbert Gottfried (“Is it hot in here or am I crazy?”) set off the detector, which analyzes sound but doesn’t take words or meaning into account. Although a Louroe spokesman said the detector doesn’t intrude on student privacy because it only captures sound patterns deemed aggressive, its microphones allow administrators to record, replay and store those snippets of conversation indefinitely.

[...] To test the algorithm, ProPublica purchased a microphone from Louroe Electronics and licensed the aggression detection software. We rewired the device so we could measure its output while testing pre-recorded audio clips. We then recorded high school students and examined which types of sounds set off the detector.

We found that higher-pitched, rough and strained vocalizations tended to trigger the algorithm. For example, it frequently triggered for sounds like laughing, coughing, cheering and loud discussions. While female high school students tended to trigger false positives when singing, laughing and speaking, their high-pitched shrieking often failed to do so.

I recommend clicking through to read the whole thing, as well as their methodology [propublica.org].


Original Submission