In May 2018 I posted an article on RG: Problem seeking -- Distinguishing AI and Human Intelligence: Preprint Problem seeking -- Distinguishing AI and Human Intelligence
Human intelligence can be distinguished from AI, not in relation to finding answers, but rather in finding interesting problems.In the September 2019 issue of Sci Am, in an article by Michael A. Hogg, Radical change, page 86 quotes Stuart Firestein of Columbia University: `Science does not search for truth, as many might think. Rather the real purpose of science is to look for better questions. We run experiments because we are ignorant about something and want to learn more, and sometimes those experiments fail. But what we learn from our ignorance and failure opens new questions and new uncertainties.’ Firestein’s quote and the RG article seem to connect, perhaps because both human intelligence and science involve problem solving. What are your views?
Hi.,
The field of Artificial intelligence focuses on designing machines that can mimic human behavior. Humans use content memory and thinking whereas, robots are using the built-in instructions, designed by scientists.
Like most aspects of human behavior and cognition, intelligence is a complex trait that is influenced by both genetic and environmental factors. Intelligence is challenging to study, in part because it can be defined and measured in different ways. AI will replace "repetitive" jobs--those tasks that can be automated like robots are doing in factories. It will also potentially replace many "white-collar" tasks in the fields of accounting, healthcare, marketing, law, hospitality, and other areas.
Refer this link:
Article Human intelligence and brain networks
Preprint Intellectual activity, knowledge, information, data... An at...
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