@itisiboller It depends on _whom_ I have something to hide to. The right to privacy is the right to say "mind your own business".

@ares @pluralistic This is a very deep question that would require more than 500 characters to reply to. Federico Faggin (the physicist that invented the microprocessor) says that no computer can be conscious and the fact that living creatures are can be explained because our world is governed also by quantum laws. Moreover, if we were guided by statistics only we wouldn't have free will and we would be misled by spurious correlations (https://www.tylervigen.com/spurious-correlations). See also: http://www.fagginfoundation.org/articles/what-is-consciousness/

@lovpilowu @pluralistic Absolutely! It's not the technology that is a threat is how we decide to use it and, most importantly, to oversee it, as many other scientific discoveries. I quoted "AI" because it has a misleading name (AI algorithms are not intelligent) but that's it. We need to keep in mind that AI makes mistakes that humans would not make, so we need to draw a clear line between applications where it's ok to use it, where it isn't and where it *must* require oversight.

@tolortslubor @pluralistic AI does not have consciousness. As Federico Faggin (the inventor of the microprocessor) says, no (classical) computer have consciousness, regardless of the algorithm they run. Hearing about ""AI-empowered"" killer robots that work as policemen left me *literally* speechless.

@lovpilowu @pluralistic It's not only about training data, but also about the way the system is designed. We are not yet able to fully understand how modern "AI" makes decisions. If you want a proof of how such algorithms do *not* work, look for "Adversarial attacks" (ex. https://arxiv.org/pdf/1909.08072.pdf page 6). This is not a problem for a "photo album sorter", but for a high risk decision-making task it can be very dangerous to leave such an algorithm in charge.

@pluralistic All problems with AI raise from the sensitive applications these systems are blindly used for. AI is just a blanket term for "statistics-guided algorithm": AI is not "intelligent". AI algorithms (in particular deep learning) can encode correlations in data and therefore highlight such correlations in other data, but there is no magic behind it. We need to remember that *correlation does not imply causation*.