I get GP's point, I'm arguing it's incorrect. Specifically slow and expensive != rarely used. Once you accept that your privacy is going to be violated either

I get GP's point, I'm arguing it's incorrect. Specifically slow and expensive != rarely used. Once you accept that your privacy is going to be violated either way, the computer is the obviously preferable option. Human processing errors are not guaranteed to come out at court time, and humans can and will hide their mistakes. Getting caught in a "computer says no" trap fundamentally requires the human using the computer to also not be able to tell when the data is obviously wrong. Computers are not supposed to be the source of common sense in either system, they are a tool. There isn't 100x more crime that isn't being prosecuted due to lack of resources. There are lots of crimes like jaywalking that our legal system leaves to discretion. 99% of the time, a person crossing the street is a non-issue. Even if you do it right in front of a cop and it would take zero resources to prosecute, it doesn't get done because we as a society don't believe it should be. We make it a crime because there is that 1% of cases where it is a problem, and we need to be able to deal with those cases, but distinguishing which is which can not be readily codified in law. The only way that AI will change this is that the decision on whether to prosecute jaywalking will be consistent. I don't see why computers not forgetting is a bad thing. We already have the means of preserving data for long periods of time. The decision on whether records should be maintained or deleted should be made based on the circumstances, not on the faultyness of the hardware. I mean if you really wanted to, you could always program a computer to delete data at random, but it's just a dumb idea. Human rules can be bad. A human black box can not spit out an error log showing the particular sequence of neurons that activated that led to its decision. It can generate a statement, but whether that statement correctly explains it's decision making process can not be determined reliably. For example a human can shoot someone because of the color of their skin, and then state that it was because they felt they were in danger despite not actually feeling that way. Detecting such a glitch is extremely difficult, and no one has a reliable method of fixing it. Falsely suspecting people because their name is foreign is a well known bug in humans. Racism and bigotry is likewise a common issue with human neural networks. When you consider the countless multitudes of erroneous decisions made by humans over the millenia, an AI falsely flagging mere thousands is an immense improvement.