{"@context":"http://iiif.io/api/presentation/3/context.json","id":"https://ualberta.aviaryplatform.com/iiif/rf5k932m60/manifest","type":"Manifest","label":{"en":["A Roadmap to More Sustainable AI Systems"]},"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":["Gupta, Abhishek (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, big data and innovation. \"AI has a sizeable carbon footprint, both during training and deployment phases. How do we build AI systems that are greener? The first thing we need to understand is how to account and calculate the carbon impact of all the resources that go into the AI lifecycle. So what is the current state of carbon accounting in AI? How effective has it been? And can we do better? This presentation will answer these questions and dive into what the future of carbon accounting in AI looks like and what role standards can play in this, especially if we want to utilize actionable insights to trigger meaningful behavior change.\" (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 (topical)","Sustainability (topical)"]}},{"label":{"en":["Type"]},"value":{"en":["Event"]}},{"label":{"en":["Rights Statement"]},"value":{"en":["\u003ca href=\"https://creativecommons.org/licenses/by-nc/4.0/\"\u003eAttribution-NonCommercial 4.0 International\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: Canada (Creation/production)"]}}],"summary":{"en":["Theme: AI, big data and innovation. \"AI has a sizeable carbon footprint, both during training and deployment phases. 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