A rising use of AI Disgorgement or the destroying of an AI system is being undertaken by governmental authorities, but the question is whether this is the proper thing to do and whether it is realistically feasible. This includes too for AI-based self-driving car.
As you might directly guess, trying to pin down the specifics underlying these principles can be extremely hard to do. Even more so, the effort to turn those broad principles into something entirely tangible and detailed enough to be used when crafting AI systems is also a tough nut to crack.
All told, we are today utilizing non-sentient AI and someday we might have sentient AI . Both kinds of AI are obviously of concern for AI Ethics and we need to be aiming toward Ethical AI no matter how it is constituted. I doubt that we would be willing to make the same AI Ethical posture for the non-sentient AI. Though some are trying to contend that today’s non-sentient AI ought to be classified as a variant associated with legal personhood, this seems to be a steeply uphill battle. Can a piece of contemporary software that is not sentient be granted legal rights on par with humans or even animals? It sure seems like a stretch .
A handy rule would then seem to be that the notion of AI Disgorgement should be predicated on a semblance of context and sensibility as to when this form of a remedy is suitably applicable. Sometimes it might be fully applicable, while in other instances not so. You could also try to find ways to split the apple, perhaps keeping some part of the AI that was deemed as beneficial while seeking to have destruction or deletion for the portions that are considered within the remedy deriving scope.
I would submit that the answer to both of those questions is a qualified “no” . In essence, a lot of the time the answer would probably be “yes” in the case of non-sentient AI, while in the case of the sentient AI the answer is “maybe, but nobody can say either way for sure” due to not knowing what the sentient AI is going to be or even if it will arise.
We can walk through the reasons why this presumed ease of AI destruction or deletion is not as straightforward as you might initially assume. An obvious way to try and prevent this kind of deletion skirting would be to stipulate that any and all prior versions of the AI must be destroyed. This would seem to force the company into seriously finding any older versions and making sure those get deleted too.
The firm deletes the instance of the ML that they downloaded and are using. The exact same ML algorithm or model is still sitting in a publicly available online library and potentially accessible for comers that want to use it. The governmental authority might have no means to restrict or cause a disgorgement of that online library.
The crux is that you could from other external sources grab copies of the data, grab a copy of the ML/DL algorithm, and reconstitute the AI system. In some cases, this might be expensive to undertake and could require gobs of time, while in other instances it might be doable in short order. It all depends on various factors such as how much the data needs to be modified or transformed, and the same goes for the parameter setting and training of the ML/DL.
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