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cageymaru
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- Apr 10, 2003
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Researchers discussing artificial intelligence (A.I.) have voiced similar opinions related to the necessity for more accurate data collection. The invention of the internet allowed companies to collect enough data to create algorithms, machine learning, and artificial intelligence technologies that can process the data available on the web. Algorithms are only as accurate as the data it is fed and it is well known that not all things are real on the internet. Humans are predisposed to bias and they create the algorithms. Even if the data is accurate; not all data should be factored in to make an important decision by an A.I..
"The internet made it possible," Anima Anandkumar, director of machine learning research at Nvidia (NVDA) and a Bren Professor at Caltech, told Yahoo Finance. "We would not have been able to collect data on that scale [without it]." "We know the content, and the internet, is not balanced," Anandkumar said. "And it's not one person controlling it. It's really like the wild, wild West." "Algorithms cannot completely model the real world," Anandkumar said, noting that "the algorithm by itself is not the main culprit. ... We need to figure out ways to regulate human behavior more than anything else."
"The internet made it possible," Anima Anandkumar, director of machine learning research at Nvidia (NVDA) and a Bren Professor at Caltech, told Yahoo Finance. "We would not have been able to collect data on that scale [without it]." "We know the content, and the internet, is not balanced," Anandkumar said. "And it's not one person controlling it. It's really like the wild, wild West." "Algorithms cannot completely model the real world," Anandkumar said, noting that "the algorithm by itself is not the main culprit. ... We need to figure out ways to regulate human behavior more than anything else."
