{"@context":"http://iiif.io/api/presentation/3/context.json","id":"https://ualberta.aviaryplatform.com/iiif/7d2q52g848/manifest","type":"Manifest","label":{"en":["Enabling the Right to Know “Left of Algorithm”"]},"logo":"https://d9jk7wjtjpu5g.cloudfront.net/organizations/logo_images/000/000/128/original/UA_Logo_WHT_RGB_%281%29.png?1725471982","metadata":[{"label":{"en":["Agent"]},"value":{"en":["Howell, Chuck (Creator)","Kule Institute for Advanced Studies (KIAS) (Sponsor)","AI for Society (AI4S) (Sponsor)","International Centre for Information Ethics (ICIE) (Sponsor)","Future Africa at the University of Pretoria, South Africa (Sponsor)","Centre for New Economic Diplomacy (CNED) (Sponsor)","Broadcasting Commission of Jamaica (Sponsor)"]}},{"label":{"en":["Date"]},"value":{"en":["2021-09-26 (issued)"]}},{"label":{"en":["Publisher"]},"value":{"en":["UNESCO Information For All Programme (IFAP)","Working Group on Information Accessibility (WGIA)"]}},{"label":{"en":["Description"]},"value":{"en":["Theme: AI and society. \"AI systems are consequential when they are introduced into complex sociotechnical systems (STS) that have significant impacts on people’s lives (e.g., healthcare, law enforcement, judicial decisions, financial services, education, government). The process of identifying potential impacts of an AI system’s introduction in a complex STS has to begin at the very start of considering the role of the system, long before data is selected and models are trained (i.e., “left of algorithm”). One result of this early consideration and broad stakeholder engagement is to identify the sociotechnical indicators that can be captured, monitored, and analyzed to ensure that unintended outcomes are detected quickly. I’ll briefly describe some examples of the need for early STS considerations and how that consideration helps identify critical information that 'we have a right (and need) to know.'\" (General)"]}},{"label":{"en":["Language"]},"value":{"en":["English"]}},{"label":{"en":["Relation"]},"value":{"en":["\u003ca href=\"http://www.i-c-i-e.org/ai4ia\"\u003eAI4IA Annual Conference\u003c/a\u003e"]}},{"label":{"en":["Subject"]},"value":{"en":["Artificial intelligence--Social aspects (topical)","Algorithms--Computer programs (topical)","Freedom of information (topical)"]}},{"label":{"en":["Type"]},"value":{"en":["Event"]}},{"label":{"en":["Rights Statement"]},"value":{"en":["\u003ca href=\"http://creativecommons.org/licenses/by-nc/4.0/\"\u003eAttribution-NonCommercial 4.0 International (CC BY-NC 4.0)\u003c/a\u003e"]}},{"label":{"en":["Series or Event Name"]},"value":{"en":["Artificial Intelligence for Information Accessibility (AI4IA) Conference, 2021"]}},{"label":{"en":["Note"]},"value":{"en":["Place of recording: United States (Creation/production)"]}}],"summary":{"en":["Theme: AI and society. \"AI systems are consequential when they are introduced into complex sociotechnical systems (STS) that have significant impacts on people’s lives (e.g., healthcare, law enforcement, judicial decisions, financial services, education, government). The process of identifying potential impacts of an AI system’s introduction in a complex STS has to begin at the very start of considering the role of the system, long before data is selected and models are trained (i.e., “left of algorithm”). One result of this early consideration and broad stakeholder engagement is to identify the sociotechnical indicators that can be captured, monitored, and analyzed to ensure that unintended outcomes are detected quickly. I’ll briefly describe some examples of the need for early STS considerations and how that consideration helps identify critical information that 'we have a right (and need) to know.'\""]},"requiredStatement":{"label":{"en":["Attribution"]},"value":{"en":["\u003ca href=\"http://creativecommons.org/licenses/by-nc/4.0/\"\u003eAttribution-NonCommercial 4.0 International (CC BY-NC 4.0)\u003c/a\u003e"]}},"provider":[{"id":"https://ualberta.aviaryplatform.com/aboutus","type":"Agent","label":{"en":["University of Alberta Library"]},"homepage":[{"id":"https://ualberta.aviaryplatform.com/","type":"Text","label":{"en":["University of Alberta Library"]},"format":"text/html"}],"logo":[{"id":"https://d9jk7wjtjpu5g.cloudfront.net/organizations/logo_images/000/000/128/original/UA_Logo_WHT_RGB_%281%29.png?1725471982","type":"Image"}]}],"thumbnail":[{"id":"https://d9jk7wjtjpu5g.cloudfront.net/collection_resource_files/thumbnails/000/161/492/small/thumbnail_161492_1657034716.jpg?1657034718","type":"Image","format":"image/jpeg"}],"items":[{"id":"https://ualberta.aviaryplatform.com/collections/1845/collection_resources/75186/file/161492","type":"Canvas","label":{"en":["Media File 1 of 1 - Howell.mp4"]},"duration":627.2,"width":640,"height":360,"thumbnail":[{"id":"https://d9jk7wjtjpu5g.cloudfront.net/collection_resource_files/thumbnails/000/161/492/small/thumbnail_161492_1657034716.jpg?1657034718","type":"Image","format":"image/jpeg"}],"items":[{"id":"https://ualberta.aviaryplatform.com/collections/1845/collection_resources/75186/file/161492/content/1","type":"AnnotationPage","items":[{"id":"https://ualberta.aviaryplatform.com/collections/1845/collection_resources/75186/file/161492/content/1/annotation/1","type":"Annotation","motivation":"painting","body":{"id":"https://aviary-p-ualberta.s3.wasabisys.com/collection_resource_files/resource_files/000/161/492/original/Howell.mp4?1657034683","type":"Video","format":"video/mp4","duration":627.2,"width":640,"height":360},"target":"https://ualberta.aviaryplatform.com/collections/1845/collection_resources/75186/file/161492","metadata":[]}]}],"annotations":[]}]}