{"id":74546,"date":"2021-03-19T17:52:58","date_gmt":"2021-03-19T21:52:58","guid":{"rendered":"http:\/\/danielschristian.com\/learning-ecosystems\/?p=74546"},"modified":"2021-03-19T17:53:49","modified_gmt":"2021-03-19T21:53:49","slug":"two-items-re-ai-and-one-not-positive-at-all","status":"publish","type":"post","link":"https:\/\/danielschristian.com\/learning-ecosystems\/2021\/03\/19\/two-items-re-ai-and-one-not-positive-at-all\/","title":{"rendered":"Two items re: AI &#8212; and one not positive at all"},"content":{"rendered":"<p><a href=\"https:\/\/www.technologyreview.com\/2021\/03\/11\/1020600\/facebook-responsible-ai-misinformation\/\" target=\"_blank\" rel=\"noopener\"><strong>How Facebook got addicted to spreading misinformation<\/strong><\/a> &#8212; from technologyreview.com by Karen Hao<\/p>\n<p><em>Excerpt <span style=\"color: #800000;\">(emphasis DSC):<\/span><\/em><\/p>\n<p style=\"padding-left: 40px;\">By the time thousands of rioters stormed the US Capitol in January, organized in part on Facebook and fueled by the lies about a stolen election that had fanned out across the platform, it was clear from my conversations that the Responsible AI team had failed to make headway against misinformation and hate speech because it had never made those problems its main focus. More important, I realized, if it tried to, it would be set up for failure.<\/p>\n<p style=\"padding-left: 40px;\">The reason is simple. Everything the company does and chooses not to do flows from a single motivation: Zuckerberg\u2019s relentless desire for growth. Qui\u00f1onero\u2019s AI expertise supercharged that growth. His team got pigeonholed into targeting AI bias, as I learned in my reporting, because preventing such bias helps the company avoid\u00a0proposed regulation\u00a0that might, if passed, hamper that growth. Facebook leadership has also repeatedly weakened or halted many initiatives meant to clean up misinformation on the platform because doing so would undermine that growth.<\/p>\n<p style=\"padding-left: 40px;\"><strong><span style=\"color: #800000;\">In other words, the Responsible AI team\u2019s work\u2014whatever its merits on the specific problem of tackling AI bias\u2014is essentially irrelevant to fixing the bigger problems of misinformation, extremism, and political polarization. And it\u2019s all of us who pay the price.<\/span><\/strong><\/p>\n<p><a href=\"https:\/\/www.forbes.com\/sites\/nishatalagala\/2021\/03\/15\/artificial-intelligence-in-2021-five-trends-you-may-or-may-not-expect\/\" target=\"_blank\" rel=\"noopener\"><strong>Artificial Intelligence In 2021: Five Trends You May (or May Not) Expect<\/strong><\/a> &#8212; from forbes.com by Nisha Talagala<\/p>\n<p><a href=\"https:\/\/www.forbes.com\/sites\/nishatalagala\/2021\/03\/15\/artificial-intelligence-in-2021-five-trends-you-may-or-may-not-expect\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" class=\"alignnone wp-image-74619 size-full\" src=\"http:\/\/danielschristian.com\/learning-ecosystems\/wp-content\/uploads\/2021\/03\/5Trends-in-AI-in-2021.jpg\" alt=\"5 trends for AI in 2021\" width=\"100%\" height=\"100%\" srcset=\"https:\/\/danielschristian.com\/learning-ecosystems\/wp-content\/uploads\/2021\/03\/5Trends-in-AI-in-2021.jpg 959w, https:\/\/danielschristian.com\/learning-ecosystems\/wp-content\/uploads\/2021\/03\/5Trends-in-AI-in-2021-150x84.jpg 150w, https:\/\/danielschristian.com\/learning-ecosystems\/wp-content\/uploads\/2021\/03\/5Trends-in-AI-in-2021-768x432.jpg 768w\" sizes=\"(max-width: 959px) 100vw, 959px\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>How Facebook got addicted to spreading misinformation &#8212; from technologyreview.com by Karen Hao Excerpt (emphasis DSC): By the time thousands of rioters stormed the US Capitol in January, organized in part on Facebook and fueled by the lies about a stolen election that had fanned out across the platform, it was clear from my conversations [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[113,435,356,851,45,298,816,330,204,454,445],"tags":[],"class_list":["post-74546","post","type-post","status-publish","format-standard","hentry","category-21st-century","category-analytics","category-artificial-intelligence-agents-llms-and-related","category-bias-diversity-equity-inclusion-dei","category-computer-science","category-data-related-items","category-facebook","category-political-science","category-programming","category-the-downsides-of-technology","category-youth"],"_links":{"self":[{"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/74546","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/comments?post=74546"}],"version-history":[{"count":3,"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/74546\/revisions"}],"predecessor-version":[{"id":74621,"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/74546\/revisions\/74621"}],"wp:attachment":[{"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/media?parent=74546"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/categories?post=74546"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/tags?post=74546"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}