Test: How Psychologically Mature Are You? Check Your Inner Foundation.
Test. Check Your Social Media Dependency Level!
Test: What Business is Right For You?
Test: How Prone Are You to Abusive Behavior as a Manager?
Test. What superpower would you possess if you were a superhero?
Test. What Should You Let Go of Before Winter Ends?
English
Русский
Deutsch
Español
Are Universities No Longer Needed? How Artificial Intelligence Has Changed Education
In an interview for Canadian television, scientist and Nobel laureate Geoffrey Hinton, who is involved in the development of machine learning methods, stated that universities may no longer be in demand.
This is all thanks to the capabilities of artificial intelligence - AI tutors work individually with each student, adapting to their personality traits, learning speed, interests, and many other aspects. Furthermore, neural networks accumulate vast experience in teaching a wide range of users, something even the most professional and experienced teachers do not have.
Entrepreneur and Microsoft founder Bill Gates shares the same opinion as Hinton. He believes that once children start learning with AI tutors, the need to attend school will be entirely eliminated, let alone universities. "In this direction, Khanmigo, based on AI, from the Khan Academy is already working," says Gates. "It can teach mathematics, natural and humanities sciences - for example, explaining quadratic functions or creating math problems for homework."
Sven Schütt, CEO of the IU Group - the founder of the International University of Applied Sciences IU in Germany, believes that the integration of AI into the education system will significantly shorten the total duration of schooling and university education, by about a third.
However, Hinton is confident that there is one field for which university education will remain crucial - science. Innovative researchers will not be able to make breakthrough discoveries or formulate new laws of the world by learning solely with AI. According to Hinton, this is impossible because scientific work can only be learned through constant practice, conducting experiments, and testing hypotheses. The capabilities of artificial intelligence are still limited.
