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Several other AI-driven technologies have similarly become more widely adopted thanks to coronavirus, including the use of mass surveillance for "contact tracing" as well as facial recognition technology and biometrics. A recentWall Street Journal report stated that the government is seriously considering both contact tracing via phone geolocation data and facial recognition technology in order to track those who might have coronavirus. In addition, private businesses like grocery stores and restaurants are using sensors and facial recognition to see how many people and which people are entering their stores.
As far as biometrics go, university researchers are now working to determine if "smartphones and biometric wearables already contain the data we need to know if we have become infected with the novel coronavirus." Those efforts seek to detect coronavirus infections early by analyzing "sleep schedules, oxygen levels, activity levels and heart rate" based on smartphone apps like FitBit and smartwatches. In countries outside the U.S., biometric IDs are being touted as a way to track those who have and lack immunity to coronavirus.
In addition, one report in The Edge argued that the current crisis is changing what types of biometrics should be used, asserting that a shift towards thermal scanning and facial recognition is necessary:
At this critical juncture of the crisis, any integrated facial recognition and thermal scanning solution must be implemented easily, rapidly and in a cost-effective manner. Workers returning to offices or factories must not have to scramble to learn a new process or fumble with declaration forms. They must feel safe and healthy for them to work productively. They just have to look at the camera and smile. Cameras and thermal scanners, supported by a cloud-based solution and the appropriate software protocols, will do the rest."
Also benefiting from the coronavirus crisis is the concept of "smart cities," with Forbes recently writing that "Smart cities can help us combat the coronavirus pandemic." That article states that "Governments and local authorities are using smart city technology, sensors and data to trace the contacts of people infected with the coronavirus. At the same time, smart cities are also helping in efforts to determine whether social distancing rules are being followed."
That article in Forbes also contains the following passage:
"[T]he use of masses of connected sensors makes it clear that the coronavirus pandemic isintentionally or notbeing used as a testbed for new surveillance technologies that may threaten privacy and civil liberties. So aside from being a global health crisis, the coronavirus has effectively become an experiment in how to monitor and control people at scale."
Another report in The Guardian states that "If one of the government takeaways from coronavirus is that 'smart cities' including Songdo or Shenzhen are safer cities from a public health perspective, then we can expect greater efforts to digitally capture and record our behaviour in urban areas and fiercer debates over the power such surveillance hands to corporations and states." There have also been reports that assert that typical cities are "woefully unprepared" to face pandemics compared to "smart cities."
Yet, beyond many of the NSCAI's specific concerns regarding mass AI adoption being conveniently resolved by the current crisis, there has also been a concerted effort to change the public's perception of AI in general. As previously mentioned, the NSCAI had pointed out last year that:
In the press and politics of America and Europe, Al is painted as something to be feared that is eroding privacy and stealing jobs. Conversely, China views it as both a tool for solving major macroeconomic challenges in order to sustain their economic miracle, and an opportunity to take technological leadership on the global stage."
Now, less than a year later, the coronavirus crisis has helped spawn a slew of headlines in just the last few weeks that paint AI very differently, including "How Artificial Intelligence Can Help Fight Coronavirus," "How AI May Prevent the Next Coronavirus Outbreak," "AI Becomes an Ally in the Fight Against COVID-19," "Coronavirus: AI steps up in battle against COVID-19," and "Here's How AI Can Help Africa Fight the Coronavirus," among numerous others.
It is indeed striking how the coronavirus crisis has seemingly fulfilled the NSCAI's entire wishlist and removed many of the obstacles to the mass adoption of AI technologies in the United States. Like major crises of the past, the national security state appears to be using the chaos and fear to promote and implement initiatives that would be normally rejected by Americans and, if history is any indicator, these new changes will remain long after the coronavirus crisis fades from the news cycle. It is essential that these so-called "solutions" be recognized for what they are and that we consider what type of world they will end up creating an authoritarian technocracy. We ignore the rapid advance of these NSCAI-promoted initiatives and the phasing out of so-called "legacy systems" (and with them, many long-cherished freedoms) at our own peril.
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