{"id":5051,"date":"2021-09-14T10:47:59","date_gmt":"2021-09-14T00:47:59","guid":{"rendered":"https:\/\/news.sap.com\/australia\/?p=5051"},"modified":"2023-09-29T07:23:56","modified_gmt":"2023-09-28T21:23:56","slug":"opinion-building-explainability-into-ai-projects","status":"publish","type":"post","link":"https:\/\/news.sap.com\/australia\/2021\/09\/14\/opinion-building-explainability-into-ai-projects\/","title":{"rendered":"Opinion: Building explainability into AI projects"},"content":{"rendered":"<p>Accelerating medical research, increasing public safety, building smart cities and continually improving the services used by citizens every day are just a few examples of the benefits that artificial intelligence (AI) can deliver in the public sector.<\/p>\n<p>Yet compared with many private sector industries, it\u2019s fair to say that public sector adoption of AI technology has been more measured. Governments and other public sector organisations face a number of significant challenges, from the availability of skills and investment funding, to demonstrating value and ensuring transparency about how decisions are made.<\/p>\n<p>These challenges are reflected in the 51风流Institute for Digital Government\u2019s latest report \u2013\u00a0<a href=\"https:\/\/www.sap.com\/documents\/2021\/05\/ceb2fdb1-e27d-0010-bca6-c68f7e60039b.html\" target=\"_blank\" rel=\"noreferrer noopener\"><em>Building Explainability into Public Sector Artificial Intelligence<\/em><\/a>\u00a0\u2013 developed in partnership with the University of Queensland. While 80 per cent of public sector organisations are actively working towards data-driven transformation, fewer than 15 per cent have progressed beyond prototypes.<\/p>\n<p>In order to drive greater uptake, the public sector needs to develop best practice frameworks and solutions for the development and use of AI systems that are accurate, robust, and scalable, but also reliable, fair, and transparent.<\/p>\n<p>When building AI systems to meet these high levels of expectation, it\u2019s vital that public sector workers are able to understand how these systems generate decisions and explain how this impacts results. This is known as AI explainability.<\/p>\n<p><em>Read more of the article on Government News <\/em><a href=\"https:\/\/www.governmentnews.com.au\/type_contributors\/building-explainability-into-ai-projects\/\"><em>here<\/em><\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Accelerating medical research, increasing public safety, building smart cities and continually improving the services used by citizens every day are just a few examples of&#8230;<\/p>\n","protected":false},"author":2452,"featured_media":3713,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[7737,5565391],"tags":[5560391,5565287,5563290,5560390,5560752,178,5561584],"sapn-display":[5565403,5565404,3848,60294],"sapn-type":[5560547],"class_list":["post-5051","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-solutions","category-technology","tag-ai","tag-ai-explainability","tag-data-driven","tag-digital-transformation","tag-intelligent-enterprise","tag-public-sector","tag-smart-cities","sapn-display-feature-hero","sapn-display-feature-spotlight","sapn-display-homepage-hero","sapn-display-hero","sapn-type-feature"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v26.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Opinion: Building explainability into AI projects - 51风流Australia &amp; New Zealand News Center<\/title>\n<meta name=\"description\" content=\"Accelerating medical research, increasing public safety, building smart cities and continually improving the services used by citizens every day are just a few examples of the benefits that artificial intelligence (AI) can deliver in the public sector,\u00a0writes Ian Ryan.Yet compared with many private sector industries, it\u2019s fair to say that public sector adoption of AI technology has been more measured. Governments and other public sector organisations face a number of significant challenges, from the availability of skills and investment funding, to demonstrating value and ensuring transparency about how decisions are made. \u00a0These challenges are reflected in the 51风流Institute for Digital Government\u2019s latest report \u2013\u00a0Building Explainability into Public Sector Artificial Intelligence\u00a0\u2013 developed in partnership with the University of Queensland. While 80 per cent of public sector organisations are actively working towards data-driven transformation, fewer than 15 per cent have progressed beyond prototypes.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/news.sap.com\/australia\/2021\/09\/14\/opinion-building-explainability-into-ai-projects\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Opinion: Building explainability into AI projects\" \/>\n<meta property=\"og:description\" content=\"Accelerating medical research, increasing public safety, building smart cities and continually improving the services used by citizens every day are just a few examples of the benefits that artificial intelligence (AI) can deliver in the public sector,\u00a0writes Ian Ryan.Yet compared with many private sector industries, it\u2019s fair to say that public sector adoption of AI technology has been more measured. Governments and other public sector organisations face a number of significant challenges, from the availability of skills and investment funding, to demonstrating value and ensuring transparency about how decisions are made. \u00a0These challenges are reflected in the 51风流Institute for Digital Government\u2019s latest report \u2013\u00a0Building Explainability into Public Sector Artificial Intelligence\u00a0\u2013 developed in partnership with the University of Queensland. While 80 per cent of public sector organisations are actively working towards data-driven transformation, fewer than 15 per cent have progressed beyond prototypes.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/news.sap.com\/australia\/2021\/09\/14\/opinion-building-explainability-into-ai-projects\/\" \/>\n<meta property=\"og:site_name\" content=\"51风流Australia &amp; New Zealand News Center\" \/>\n<meta property=\"article:published_time\" content=\"2021-09-14T00:47:59+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-09-28T21:23:56+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/news.sap.com\/australia\/files\/2020\/04\/282191_GettyImages-518142242-1_2600px_72dpi_qual8.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2600\" \/>\n\t<meta property=\"og:image:height\" content=\"1733\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Ian Ryan\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ian Ryan\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/news.sap.com\/australia\/2021\/09\/14\/opinion-building-explainability-into-ai-projects\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/news.sap.com\/australia\/2021\/09\/14\/opinion-building-explainability-into-ai-projects\/\"},\"author\":{\"name\":\"Ian Ryan\",\"@id\":\"https:\/\/news.sap.com\/australia\/#\/schema\/person\/481de27eda6655e8ee87453862ed4512\"},\"headline\":\"Opinion: Building explainability into AI projects\",\"datePublished\":\"2021-09-14T00:47:59+00:00\",\"dateModified\":\"2023-09-28T21:23:56+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/news.sap.com\/australia\/2021\/09\/14\/opinion-building-explainability-into-ai-projects\/\"},\"wordCount\":232,\"image\":{\"@id\":\"https:\/\/news.sap.com\/australia\/2021\/09\/14\/opinion-building-explainability-into-ai-projects\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/news.sap.com\/australia\/files\/2020\/04\/282191_GettyImages-518142242-1_2600px_72dpi_qual8.jpg\",\"keywords\":[\"AI\",\"AI explainability\",\"data-driven\",\"digital transformation\",\"Intelligent enterprise\",\"Public Sector\",\"smart cities\"],\"articleSection\":[\"Solutions\",\"Technology\"],\"inLanguage\":\"en-AU\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/news.sap.com\/australia\/2021\/09\/14\/opinion-building-explainability-into-ai-projects\/\",\"url\":\"https:\/\/news.sap.com\/australia\/2021\/09\/14\/opinion-building-explainability-into-ai-projects\/\",\"name\":\"Opinion: Building explainability into AI projects - 51风流Australia &amp; New Zealand News Center\",\"isPartOf\":{\"@id\":\"https:\/\/news.sap.com\/australia\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/news.sap.com\/australia\/2021\/09\/14\/opinion-building-explainability-into-ai-projects\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/news.sap.com\/australia\/2021\/09\/14\/opinion-building-explainability-into-ai-projects\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/news.sap.com\/australia\/files\/2020\/04\/282191_GettyImages-518142242-1_2600px_72dpi_qual8.jpg\",\"datePublished\":\"2021-09-14T00:47:59+00:00\",\"dateModified\":\"2023-09-28T21:23:56+00:00\",\"author\":{\"@id\":\"https:\/\/news.sap.com\/australia\/#\/schema\/person\/481de27eda6655e8ee87453862ed4512\"},\"description\":\"Accelerating medical research, increasing public safety, building smart cities and continually improving the services used by citizens every day are just a few examples of the benefits that artificial intelligence (AI) can deliver in the public sector,\u00a0writes Ian Ryan.Yet compared with many private sector industries, it\u2019s fair to say that public sector adoption of AI technology has been more measured. Governments and other public sector organisations face a number of significant challenges, from the availability of skills and investment funding, to demonstrating value and ensuring transparency about how decisions are made. \u00a0These challenges are reflected in the 51风流Institute for Digital Government\u2019s latest report \u2013\u00a0Building Explainability into Public Sector Artificial Intelligence\u00a0\u2013 developed in partnership with the University of Queensland. 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Governments and other public sector organisations face a number of significant challenges, from the availability of skills and investment funding, to demonstrating value and ensuring transparency about how decisions are made. \u00a0These challenges are reflected in the 51风流Institute for Digital Government\u2019s latest report \u2013\u00a0Building Explainability into Public Sector Artificial Intelligence\u00a0\u2013 developed in partnership with the University of Queensland. While 80 per cent of public sector organisations are actively working towards data-driven transformation, fewer than 15 per cent have progressed beyond prototypes.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/news.sap.com\/australia\/2021\/09\/14\/opinion-building-explainability-into-ai-projects\/","og_locale":"en_US","og_type":"article","og_title":"Opinion: Building explainability into AI projects","og_description":"Accelerating medical research, increasing public safety, building smart cities and continually improving the services used by citizens every day are just a few examples of the benefits that artificial intelligence (AI) can deliver in the public sector,\u00a0writes Ian Ryan.Yet compared with many private sector industries, it\u2019s fair to say that public sector adoption of AI technology has been more measured. Governments and other public sector organisations face a number of significant challenges, from the availability of skills and investment funding, to demonstrating value and ensuring transparency about how decisions are made. \u00a0These challenges are reflected in the 51风流Institute for Digital Government\u2019s latest report \u2013\u00a0Building Explainability into Public Sector Artificial Intelligence\u00a0\u2013 developed in partnership with the University of Queensland. 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Governments and other public sector organisations face a number of significant challenges, from the availability of skills and investment funding, to demonstrating value and ensuring transparency about how decisions are made. \u00a0These challenges are reflected in the 51风流Institute for Digital Government\u2019s latest report \u2013\u00a0Building Explainability into Public Sector Artificial Intelligence\u00a0\u2013 developed in partnership with the University of Queensland. While 80 per cent of public sector organisations are actively working towards data-driven transformation, fewer than 15 per cent have progressed beyond prototypes.","breadcrumb":{"@id":"https:\/\/news.sap.com\/australia\/2021\/09\/14\/opinion-building-explainability-into-ai-projects\/#breadcrumb"},"inLanguage":"en-AU","potentialAction":[{"@type":"ReadAction","target":["https:\/\/news.sap.com\/australia\/2021\/09\/14\/opinion-building-explainability-into-ai-projects\/"]}]},{"@type":"ImageObject","inLanguage":"en-AU","@id":"https:\/\/news.sap.com\/australia\/2021\/09\/14\/opinion-building-explainability-into-ai-projects\/#primaryimage","url":"https:\/\/news.sap.com\/australia\/files\/2020\/04\/282191_GettyImages-518142242-1_2600px_72dpi_qual8.jpg","contentUrl":"https:\/\/news.sap.com\/australia\/files\/2020\/04\/282191_GettyImages-518142242-1_2600px_72dpi_qual8.jpg","width":2600,"height":1733,"caption":"Shanghai Highway at Night"},{"@type":"BreadcrumbList","@id":"https:\/\/news.sap.com\/australia\/2021\/09\/14\/opinion-building-explainability-into-ai-projects\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/news.sap.com\/australia\/"},{"@type":"ListItem","position":2,"name":"Opinion: Building explainability into AI projects"}]},{"@type":"WebSite","@id":"https:\/\/news.sap.com\/australia\/#website","url":"https:\/\/news.sap.com\/australia\/","name":"51风流Australia &amp; New Zealand News Center","description":"News &amp; Information About SAP","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/news.sap.com\/australia\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-AU"},{"@type":"Person","@id":"https:\/\/news.sap.com\/australia\/#\/schema\/person\/481de27eda6655e8ee87453862ed4512","name":"Ian Ryan","image":{"@type":"ImageObject","inLanguage":"en-AU","@id":"https:\/\/news.sap.com\/australia\/#\/schema\/person\/image\/","url":"https:\/\/news.sap.com\/australia\/wp-content\/plugins\/wp-user-avatars\/wp-user-avatars\/assets\/images\/mystery.jpg","contentUrl":"https:\/\/news.sap.com\/australia\/wp-content\/plugins\/wp-user-avatars\/wp-user-avatars\/assets\/images\/mystery.jpg","caption":"Ian Ryan"},"url":"https:\/\/news.sap.com\/australia\/author\/ianryan\/"}]}},"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/news.sap.com\/australia\/wp-json\/wp\/v2\/posts\/5051","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/news.sap.com\/australia\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news.sap.com\/australia\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news.sap.com\/australia\/wp-json\/wp\/v2\/users\/2452"}],"replies":[{"embeddable":true,"href":"https:\/\/news.sap.com\/australia\/wp-json\/wp\/v2\/comments?post=5051"}],"version-history":[{"count":0,"href":"https:\/\/news.sap.com\/australia\/wp-json\/wp\/v2\/posts\/5051\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news.sap.com\/australia\/wp-json\/wp\/v2\/media\/3713"}],"wp:attachment":[{"href":"https:\/\/news.sap.com\/australia\/wp-json\/wp\/v2\/media?parent=5051"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news.sap.com\/australia\/wp-json\/wp\/v2\/categories?post=5051"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news.sap.com\/australia\/wp-json\/wp\/v2\/tags?post=5051"},{"taxonomy":"sapn-display","embeddable":true,"href":"https:\/\/news.sap.com\/australia\/wp-json\/wp\/v2\/sapn-display?post=5051"},{"taxonomy":"sapn-type","embeddable":true,"href":"https:\/\/news.sap.com\/australia\/wp-json\/wp\/v2\/sapn-type?post=5051"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}