(Roughly) Daily

“Outward show is a wonderful perverter of the reason”*…

 

facial analysis

Humans have long hungered for a short-hand to help in understanding and managing other humans.  From phrenology to the Myers-Briggs Test, we’ve tried dozens of short-cuts… and tended to find that at best they weren’t actually very helpful; at worst, they were reinforcing of stereotypes that were inaccurate, and so led to results that were unfair and ineffective.  Still, the quest continues– these days powered by artificial intelligence.  What could go wrong?…

Could a program detect potential terrorists by reading their facial expressions and behavior? This was the hypothesis put to the test by the US Transportation Security Administration (TSA) in 2003, as it began testing a new surveillance program called the Screening of Passengers by Observation Techniques program, or Spot for short.

While developing the program, they consulted Paul Ekman, emeritus professor of psychology at the University of California, San Francisco. Decades earlier, Ekman had developed a method to identify minute facial expressions and map them on to corresponding emotions. This method was used to train “behavior detection officers” to scan faces for signs of deception.

But when the program was rolled out in 2007, it was beset with problems. Officers were referring passengers for interrogation more or less at random, and the small number of arrests that came about were on charges unrelated to terrorism. Even more concerning was the fact that the program was allegedly used to justify racial profiling.

Ekman tried to distance himself from Spot, claiming his method was being misapplied. But others suggested that the program’s failure was due to an outdated scientific theory that underpinned Ekman’s method; namely, that emotions can be deduced objectively through analysis of the face.

In recent years, technology companies have started using Ekman’s method to train algorithms to detect emotion from facial expressions. Some developers claim that automatic emotion detection systems will not only be better than humans at discovering true emotions by analyzing the face, but that these algorithms will become attuned to our innermost feelings, vastly improving interaction with our devices.

But many experts studying the science of emotion are concerned that these algorithms will fail once again, making high-stakes decisions about our lives based on faulty science…

“Emotion detection” has grown from a research project to a $20bn industry; learn more about why that’s a cause for concern: “Don’t look now: why you should be worried about machines reading your emotions.”

* Marcus Aurelius, Meditations

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As we insist on the individual, we might recall that it was on this date in 1989 that Tim Berners-Lee submitted a proposal to CERN for developing a new way of linking and sharing information over the Internet.

It was the first time Berners-Lee proposed a system that would ultimately become the World Wide Web; but his proposal was basically a relatively vague request to research the details and feasibility of such a system.  He later submitted a proposal on November 12, 1990 that much more directly detailed the actual implementation of the World Wide Web.

web25-significant-white-300x248 source

 

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