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From my complete layperson perspective, this flawed-sensor/autopilot failure feels even more inexplicable than Tesla's Autopilot failing to stop for stationary objects. In the latter case, I can grasp how it's difficult -- or at least an open-ended problem to train a system to distinguish such objects in real time. But the heuristics for stable flight seem much more bound to hard-coded heuristics and physical facts -- isn't there a calculable, mostly-predictable limit -- for any given altitude -- to how much a plane can correct for a stall by nosediving. And when this limit is approached, shouldn't the plane's autopilot cede more control to the human pilot, if there's no indication that the pilot is otherwise incapacitated? But it sounds like there's still a lot of unknowns about sensor readings and chain of events -- for all we know, it's possible the plane made a reasonable auto-correction, but the pilots misinterpreted the sensor readings and inadvertently caused the plane to go into an uncontrollable dive. Given that this is the Boeing 737 Max 8's first major crash, and it happens to be with one of the most unsafe budget airlines, it seems premature to say Boeing is at 100% fault. OTOH, 1 crash/189 deaths of a new plane, of a model that has had just 2 years of service so far, is not a statistic that justifies giving Boeing the automatic benefit of the doubt. edit: Also, the Lion Air plane was said to have had the same major glitch with its airspeed indicator in all of its 4 final flights [0]. Even if Boeing's design is found to have shortcomings, Lion Air choosing to not ground the plane despite 4 consecutive flights of buggy behavior is a huge indictment of its safety culture. [0] https://www.popularmechanics.com/flight/airlines/a24568956/l... |
Besides that the problem of having a very clever autopilot is that it makes it a lot harder for humans to react appropriately when it messes up, because they both don't expect it and are more likely to panic. The Tesla autopilot accidents are good examples of that, those have seen would've been easily avoided by a human but because the autopilot was usually fine on its own the driver didn't react quickly enough.
An other much more tragic example is the Air France Flight 447 crash in the Atlantic where the autopilot detected a faulty sensor and disengaged and the two pilots managed to get the otherwise perfectly functioning plane to crash into the ocean because they basically freaked out and failed to understand what was going on.
That's a strange paradox in a way, as we move from fully manual to fully automated we have a strange "uncanny valley" for safety where the computer is clever enough to handle most situations which lulls the human operator into a false sense of safety. The operator pays less attention, eventually starts losing their skills and reflexes and then at some point, maybe years later, the computer messes up and you have a handful of seconds (if even that) to remember what you're supposed to do.
On the other hand a simple but predictable autopilot might not be quite as autonomous but at least it's easy to understand and anticipate, and it forces humans to remain attentive.