Comment by Terr_

> Perhaps the key to transparent/interpretable ML is to just replace the ML model with AI-coded traditional software and decision trees. This way it's still fully autonomously trained but you can easily look at the code to see what is going on.

Just yesterday I came across a something a sci-fi webcomic author wrote as backstory back in ~2017, where all future AI has auditable logic-chains, due to a disaster in 2061 involving an American AI defense system.

While the overall concept of "turns on its creators" is not new, I still found the "root cause" darkly amusing:

> [...] until the millisecond that Gordon Smith put his hand on a Bible and swore to defend the constitution.

> Thus, when the POTUS changed from Vanderbilt to Smith, a switch flipped. TIARA [Threat Intel Analysis and Response Algorithm] was now aware of an individual with 1) a common surname, 2) a lot of money and resources, 3) the allegiance of thousands of armed soldiers, 4) many alternate aliases (like "POTUS"), 5) frequent travel, 6) bases of operation around the world, 7) mentioned frequently in terrorist chatter, etc, etc, etc.

> And yes, of course, when TIARA launches a drone strike, it notifies a human operator, who can immediately countermand it. This is, unfortunately, not useful when the drone strike mission has a travel time of zero seconds.

> Thousands of intelligent weapons, finding themselves right on top of a known terrorist's assets, immediately did their job and detonated. In less than fifteen minutes, over ten thousand people lost their lives, and the damage was estimated in the trillions of dollars.

[0] https://forwardcomic.com/archive.php?num=200