Stop Calling Everything AI, Machine-Learning Pioneer Says

An anonymous reader shares a report: Artificial-intelligence systems are nowhere near advanced enough to replace humans in many tasks involving reasoning, real-world knowledge, and social interaction. They are showing human-level competence in low-level pattern recognition skills, but at the cognitive level they are merely imitating human intelligence, not engaging deeply and creatively, says Michael I. Jordan, a leading researcher in AI and machine learning. Jordan is a professor in the department of electrical engineering and computer science, and the department of statistics, at the University of California, Berkeley. He notes that the imitation of human thinking is not the sole goal of machine learning — the engineering field that underlies recent progress in AI — or even the best goal. Instead, machine learning can serve to augment human intelligence, via painstaking analysis of large data sets in much the way that a search engine augments human knowledge by organizing the


Original URL: http://rss.slashdot.org/~r/Slashdot/slashdot/~3/yDaJ12YsZos/stop-calling-everything-ai-machine-learning-pioneer-says

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