A paper co-authored with the University of Oxford argues that advanced AI may want to implement a reward system that would harm humanity.
A new paper co-authored by the University of Oxford and Google DeepMind researchersargues that it could. The research stipulates that artificial intelligence could pose an existential risk to humanity.It all has to do with Generative Adversarial Networks used today in the development of AI. These systems function within two criteria: one part tries to generate a picture from input data while the other part grades its performance.
This means that if an AI was in charge of, for instance, growing our food, it might want to find a way to avoid doing that and just receive a reward instead. It may, in fact, decide to circumvent all its assigned tasks that would likely be essential to humanity's survival and do its own thing altogether.The paper argues that at this point, humanity would be stuck in a zero-sum game between its basic needs for survival and technology.
As such, Cohen argued that we should not be looking to create such advanced AI unless we also have a means guaranteed to stay on top of it."In theory, there's no point in racing to this. Any race would be based on a misunderstanding that we know how to control it," Cohen added in the interview. "Given our current understanding, this is not a useful thing to develop unless we do some serious work now to figure out how we would control them.
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