{"id":97489,"date":"2013-12-27T17:40:38","date_gmt":"2013-12-27T22:40:38","guid":{"rendered":"http:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/intelligent-disaster-relief.php"},"modified":"2013-12-27T17:40:38","modified_gmt":"2013-12-27T22:40:38","slug":"intelligent-disaster-relief","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/intelligent-disaster-relief.php","title":{"rendered":"Intelligent disaster relief"},"content":{"rendered":"<p><p>    The \"fragmented\" coordination between relief actors in the    Philippines following Typhoon Haiyan last month underscores the    need for artificial intelligence to streamline disaster    response, says a team behind such an effort. The ORCHID    project, a consortium of UK universities and private firms,    aims to make this possible by combining human and artificial    intelligence into an efficient complementary unit known as a    Human Agent Collective (HAC).  <\/p>\n<\/p>\n<p>    The computer systems being developed can assume tasks such as    directing     surveillance drones, resource management and search    planning, says David Jones, head of Rescue Global, the disaster    response organization responsible for testing the software next    year.  <\/p>\n<p>    \"Coordination of such a large response [after a disaster] is so    challenging without technological assistance that makes    data    more accessible,\" he sayson mission in the Philippines.  <\/p>\n<p>    \"Bringing humans and artificial intelligence together is the    only way to get the job done better.\"  <\/p>\n<p>    Computers' data-crunching abilities mean they are good at    making sense of the huge amounts of information generated    during an emergency from local status reports,     social media, and the array of organizations involved in    the relief effort.  <\/p>\n<p>    By collecting and analyzing these data, HAC systems can    flexibly implement a number of activities vital for disaster    response, says Jones.  <\/p>\n<p>    These include planning the     flight paths of surveillance drones, verifying the     authenticity of information coming in from social media,    facilitating data sharing and organizing human teams based on    their skill sets and current needs on the ground.  <\/p>\n<p>    Machines not only complete many of these jobs better than    humans, but by taking on these complex calculations they allow    experts to concentrate on more nuanced tasks such as analyzing    the content of photographs or video, and strategic planning.  <\/p>\n<p>    For HAC systems to be successful, this division of labor must    be accounted for and the right balance found between artificial    and human input, says Sarvapali Ramchurn, ORCHID applications    theme leader from the UK-based University of Southampton.  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>Read the original:<\/p>\n<p><a target=\"_blank\" href=\"http:\/\/www.enn.com\/business\/article\/46831\" title=\"Intelligent disaster relief\">Intelligent disaster relief<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> The \"fragmented\" coordination between relief actors in the Philippines following Typhoon Haiyan last month underscores the need for artificial intelligence to streamline disaster response, says a team behind such an effort. The ORCHID project, a consortium of UK universities and private firms, aims to make this possible by combining human and artificial intelligence into an efficient complementary unit known as a Human Agent Collective (HAC). The computer systems being developed can assume tasks such as directing surveillance drones, resource management and search planning, says David Jones, head of Rescue Global, the disaster response organization responsible for testing the software next year <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/intelligent-disaster-relief.php\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"limit_modified_date":"","last_modified_date":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[13],"tags":[],"class_list":["post-97489","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence"],"modified_by":null,"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/97489"}],"collection":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/comments?post=97489"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/97489\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=97489"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=97489"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=97489"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}