Errors aviation programmers make

FlightAware published a list of aviation-related data errors that human programmers...

Here’s their list: https://flightaware.engineering/falsehoods-programmers-believe-about-aviation/.

The errors they list relate to aviation and they’re errors that programmers might make.

There are many other types of errors that relate to aviation (Not all errors are related to assumptions about data.) Read the piece. It lists many — not all — data-related errors, the consequence of which could be fatal. Not in all cases, but…

There are additional error types not cited in their list, errors that programmers could make that are related to data (e.g., confusing knots versus miles and kilograms versus pounds.)

And there are many causes of fatal accidents that are not due to data-related errors (see Kyra Dempsey’s — aka Admiral Cloudberg — analysis of plane crashes on Medium or Reddit.)

Meanwhile, U.S. Transportation Secretary Sean Duffy has called for major reform for airlines after several deadly plane crashes at the beginning of the year (and complications continued in May.

Is this a space within which generative AI (with all its limitations) can be part of the solution? Or are there more fundamental problems to be resolved (e.g., the ATC — air traffic control — staffing issues, created originally in the Reagan administration — still need more investment.) If so, how?