{"@context":"http://iiif.io/api/presentation/3/context.json","id":"https://ualberta.aviaryplatform.com/iiif/057cr5ph95/manifest","type":"Manifest","label":{"en":["Our Right Not to Know: Brain Machine Interfaces"]},"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":["Kushchu, Ibrahim (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. \"BMI can read our brain signals and decode their meanings and also can send signals to our brains to influence activities in specific regions influencing their function. As human experiments in this area are already progressing, we see that artificial intelligence focuses more on manipulating information directly through our brain and other parts of our body than those through our interactions in digital media. In this talk, I will briefly present the state of human experiments with BMI and their implications for the future of society to set the context. I will then detail how these inevitably influence our interaction with information through those intermediaries controlling BMIs. I will conclude by discussing new challenges, posed BMI, for our (involuntary) access to information, and our right to know and not to know.\""]}},{"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)","Brain-computer interfaces (topical)","Freedom of information (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: United Kingdom (creation/production)","Alternate title: Implications of Brain-Machine Interfaces (BMI) for “Our Right (Not) to Know” (general)"]}}],"summary":{"en":["Theme: AI, big data and innovation. \"BMI can read our brain signals and decode their meanings and also can send signals to our brains to influence activities in specific regions influencing their function. As human experiments in this area are already progressing, we see that artificial intelligence focuses more on manipulating information directly through our brain and other parts of our body than those through our interactions in digital media. In this talk, I will briefly present the state of human experiments with BMI and their implications for the future of society to set the context. I will then detail how these inevitably influence our interaction with information through those intermediaries controlling BMIs. I will conclude by discussing new challenges, posed BMI, for our (involuntary) access to information, and our right to know and not to know.\""]},"requiredStatement":{"label":{"en":["Attribution"]},"value":{"en":["\u003ca href=\"https://creativecommons.org/licenses/by-nc/4.0/\"\u003eAttribution-NonCommercial 4.0 International\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/000/200/222/small/%289G%29IKushchu-ImplicationsofBrain-MachineInterfaces%28BMI%29for%C3%A2__ourright%28not%29toknow%C3%A2__.mp4_1690232069.jpg?1690232070","type":"Image","format":"image/jpeg"}],"items":[{"id":"https://ualberta.aviaryplatform.com/collections/1845/collection_resources/99472/file/200222","type":"Canvas","label":{"en":["Media File 1 of 1 - (9G)_I_Kushchu_-_Implications_of_Brain-Machine_Interfaces_(BMI)_for_â__our_right_(not)_to_knowâ__.mp4"]},"duration":1065.1225,"width":640,"height":360,"thumbnail":[{"id":"https://d9jk7wjtjpu5g.cloudfront.net/collection_resource_files/thumbnails/000/200/222/small/%289G%29IKushchu-ImplicationsofBrain-MachineInterfaces%28BMI%29for%C3%A2__ourright%28not%29toknow%C3%A2__.mp4_1690232069.jpg?1690232070","type":"Image","format":"image/jpeg"}],"items":[{"id":"https://ualberta.aviaryplatform.com/collections/1845/collection_resources/99472/file/200222/content/1","type":"AnnotationPage","items":[{"id":"https://ualberta.aviaryplatform.com/collections/1845/collection_resources/99472/file/200222/content/1/annotation/1","type":"Annotation","motivation":"painting","body":{"id":"https://aviary-p-ualberta.s3.wasabisys.com/collection_resource_files/resource_files/000/200/222/original/%289G%29_I_Kushchu_-_Implications_of_Brain-Machine_Interfaces_%28BMI%29_for_%C3%A2__our_right_%28not%29_to_know%C3%A2__.mp4?1690232068","type":"Video","format":"video/mp4","duration":1065.1225,"width":640,"height":360},"target":"https://ualberta.aviaryplatform.com/collections/1845/collection_resources/99472/file/200222","metadata":[]}]}],"annotations":[]}]}