{"id":12129,"date":"2021-05-19T09:02:55","date_gmt":"2021-05-19T13:02:55","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=12129"},"modified":"2021-05-19T09:02:55","modified_gmt":"2021-05-19T13:02:55","slug":"the-four-most-common-fallacies-about-ai","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/the-four-most-common-fallacies-about-ai\/12129\/","title":{"rendered":"The Four Most Common Fallacies About AI"},"content":{"rendered":"Originally published in VentureBeat, May 8, 2021. The history of artificial intelligence has been marked by repeated cycles of\u00a0extreme optimism\u00a0and promise followed by\u00a0disillusionment\u00a0and\u00a0disappointment. Today\u2019s AI systems can perform complicated tasks in a wide range of areas, such as mathematics, games, and photorealistic image generation. But some of the early goals of AI like housekeeper robots and self-driving cars continue to recede as we approach them. Part of the continued cycle of missing these goals is due to incorrect assumptions about AI and natural intelligence, according to Melanie Mitchell, Davis Professor of Complexity at the Santa Fe Institute and <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/the-four-most-common-fallacies-about-ai\/12129\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in VentureBeat, May 8, 2021. The history of artificial intelligence has been marked by repeated cycles of\u00a0extreme optimism\u00a0and promise followed by\u00a0disillusionment\u00a0and\u00a0disappointment. Today\u2019s AI systems can perform complicated tasks in a wide range of areas, such as mathematics, games, and photorealistic image generation. But some of the early goals of AI like housekeeper robots [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[879,368,230,243,1175,8],"class_list":["post-12129","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-ai","tag-artificial-intelligence","tag-data-analytics","tag-machine-learning","tag-machine-learning-data","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12129","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=12129"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12129\/revisions"}],"predecessor-version":[{"id":12130,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12129\/revisions\/12130"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=12129"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=12129"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=12129"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}