The Pros And Cons Of Artificial Intelligence

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Just as world-renowned scientist and futurist Ray Kurzweil believes, the singularity is approaching and humans are transcending biology. Ever since the dawn of technology, people have been inspired to advance civilization in unimaginable ways, ranging from finding life on a different planet to creating robots to make life more pleasurable. However, in the 21st century, faster computers and advanced machinery revolutionized artificial intelligence and created a new digital frontier. This frontier pushed the boundaries of innovation and started singularitarianism, a movement defined by the hypothesis that there will be no distinction between humans and machines. According to this hypothesis, artificial intelligence will rapidly advance and adapt,…show more content…
Robots are just like dogs. When one has a robot, he/she has to program it so it does what the owner asks. Similarly, a pet owner trains it’s dog through various exercises, so the dog responds to commands and behaves correctly. However, sometimes, the commands do not do the job and the dog disobeys the owner. If the dog disobeys its owner, the dog might be punished; in the future, the dog will make sure not to disobey owner. Robots are similar in that they learn from the social and physical environment. It is through experience that we learn through our flaws and change our instinctual behaviors. The complex hyper-intelligent machines have the ability to outsmart humans because they can use sensors, cameras, and coding to complete their goals. For example, in the journal AI Dangers: Imagined and Real, Devdatt Dubhashi, professor at Chalmers University of Technology in Sweden, and Shalom Lappin, professor at the University of Gothenburg in Sweden, believe that “computational machines will improve in competence at an exponential rate” (43). Perhaps, these machines will gain a conscience and have the ability to “correct their own defects” and reprogram themselves. The authors discuss the future of artificial intelligence and whether there is a possibility that AI can learn/read emotions and use complex reasoning to advance society. Dubhashi and Lappin presume that AI will advance through experiments and trial and error to solve problems on their own and complete narrow goals (44). They speculate that the machine, with “narrowly defined goal[s],” can adopt new procedures and improve its ability to complete the goal. This suggests that AI can complete extraneous tasks through setting and completing sub-goals, ultimately posing a risk to
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