{"id":19306,"date":"2020-07-24T09:43:33","date_gmt":"2020-07-24T13:43:33","guid":{"rendered":"https:\/\/opsweb.wpengine.com\/?p=19306"},"modified":"2020-10-21T15:28:45","modified_gmt":"2020-10-21T19:28:45","slug":"using-artificial-intelligence-when-disaster-strikes","status":"publish","type":"post","link":"https:\/\/ourpublicservice.org\/blog\/using-artificial-intelligence-when-disaster-strikes\/","title":{"rendered":"Using artificial intelligence when disaster strikes"},"content":{"rendered":"\n<p>Artificial intelligence could play a critical role in all phases of disaster resilience, according to \u201c<a href=\"https:\/\/ourpublicservice.org\/wp-content\/uploads\/2020\/07\/Into-the-Storm.pdf\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">Into the Storm: Using Artificial Intelligence to Improve California\u2019s Disaster Resilience<\/a>,\u201d an issue brief the Partnership released with Microsoft in early July. The brief explores the AI tools governments can use for disaster resilience and highlights how agencies are using AI technologies in the field.<\/p>\n\n\n\n<p>Considering that the Federal Emergency Management Agency has declared <a href=\"https:\/\/www.fema.gov\/disasters\/year\/2020?field_dv2_declaration_type_value=DR&amp;page=1\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">27 major disasters across the United States<\/a> in 2020 so far\u2014not including those related to the COVID-19 pandemic\u2014government officials need to think through how they can strengthen their ability to prepare for, respond to and recover from these shocks. Disasters put lives and livelihoods at risk, and governments at all levels\u2014federal, state and local\u2014must seek the best tools available to tackle the complex challenges involved and protect lives. <\/p>\n\n\n\n<p>At a <a href=\"https:\/\/vimeo.com\/437135857\/01fd220092\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">release event<\/a> held in July, Bijan Karimi, assistant deputy director for emergency services at the San Francisco Department of Emergency Management, and Stuart McKee, chief technology officer for state and local government at Microsoft, discussed basic principles disaster resilience officials should keep in mind when considering the use of AI.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Play to AI\u2019s strengths.<\/strong> AI can quickly\ncollect and analyze large amounts of data and information. Karimi noted how\nclosely that capability aligns with his team\u2019s work of gathering, analyzing and\ndisseminating information during disasters. But protracted information-gathering\ncan slow data analysis and delay dissemination. \u201cWe spend an inordinate amount\nof time just gathering information, and I can\u2019t get my [team] enough time to\nfocus on the abstract reasoning,\u201d Karimi said. AI tools could be used to automate\nthe process of gathering and organizing data, leaving more time for disaster\nresilience professionals and first responders to act on the information. <\/li><li><strong>AI can only do so much.<\/strong> AI is a helpful\ntool but not a replacement for smart, experienced emergency managers and first\nresponders. Information from AI tools that predicts the path of a wildfire or\nidentifies buildings that have sustained extensive damage after an earthquake isn\u2019t\nhelpful without disaster resilience professionals to interpret and act on the information\nand analyses. \u201cTechnology, at the end of the day, doesn\u2019t solve problems,\u201d\nMcKee said. \u201cIt takes smart people using technology creatively [to come up with\nsolutions].\u201d<\/li><li><strong>Use robust and trustworthy data. <\/strong>AI tools\nare only as reliable as the data they use, so good data is the cornerstone of\nany successful AI tool. When it comes to the potential destruction of disasters,\ngovernments must use high-quality, accurate data that also incorporates\ninformation about the lives, livelihoods and communities that may be\nparticularly vulnerable to a disaster\u2019s impact.<\/li><\/ul>\n\n\n\n<p>Read <a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/ourpublicservice.org\/wp-content\/uploads\/2020\/07\/Into-the-Storm.pdf\" target=\"_blank\">the report<\/a> to learn more about potential uses for AI tools in disaster preparation, response and recovery, as well as additional considerations for governments seeking to implement AI for disaster resilience.<\/p>\n\n\n\n<p>For more  on how the government can solve our nation&#8217;s biggest challenges, read:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/ourpublicservice.org\/blog-learning-from-the-governments-successful-use-of-emerging-technologies\/\" target=\"_blank\">Learning from the government\u2019s successful use of emerging technologies<\/a><\/li><li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/ourpublicservice.org\/blog-risky-business-a-framework-for-risk-management-in-federal-government\/\" target=\"_blank\">Risky business: A framework for risk management in federal government<\/a><\/li><li><a href=\"https:\/\/ourpublicservice.org\/blog-leaders-show-how-government-can-improve-hiring-to-address-21st-century-tech-challenges\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">Leaders show how government can improve hiring to address 21st century tech challenges<\/a><\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence could play a critical role in all phases of disaster resilience, according to \u201cInto the Storm: Using Artificial Intelligence to Improve California\u2019s Disaster Resilience,\u201d an issue brief the Partnership released with Microsoft in early July. The brief explores the AI tools governments can use for disaster resilience and highlights how agencies are using&#8230;<\/p>\n","protected":false},"author":73,"featured_media":19310,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"sort-date":"","content-type":"","om_disable_all_campaigns":false,"_searchwp_excluded":"","footnotes":""},"categories":[7592],"tags":[10056],"class_list":["post-19306","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-government-effectiveness","tag-research-reports"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.2 (Yoast SEO v26.2) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Using artificial intelligence when disaster strikes<\/title>\n<meta name=\"description\" content=\"Federal, state and local governments can use artificial intelligence in all phases of disaster resilience, according to the &#8220;Into the Storm&#8221; issue brief published by the Partnership and Microsoft. 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