{"@context":"http://iiif.io/api/presentation/3/context.json","id":"https://ualberta.aviaryplatform.com/iiif/kd1qf8kk5n/manifest","type":"Manifest","label":{"en":["Digital Law Forum: Liability for AI: An Ecosystem Approach"]},"logo":"https://d9jk7wjtjpu5g.cloudfront.net/organizations/logo_images/000/000/128/original/UA_Logo_WHT_RGB_%281%29.png?1725471982","metadata":[{"label":{"en":["Description"]},"value":{"en":["\u003cp\u003eArgyri Panezi\u003cbr\u003eArgyri Panezi is an expert in law and technology and intellectual property. She specializes in Internet law and policy, intellectual property law, data protection, intellectual goods management, automation, machine learning and AI. She is a professor at IE Law School in Madrid, where she teaches contracts, with an emphasis on smart contracts, as well as a master’s course on copyright law in the digital era.\u003cbr\u003e\u003cbr\u003eShe holds a Ph.D. from the European University Institute, an LLM. from Harvard Law School and an LLB. from the University of Athens. She is a research fellow at Stanford University and has held research and teaching positions at the European University Institute, at Berkeley School of Law and at the New York University School of Law. Prior to her doctoral studies she practised competition law in a private law firm in Brussels.\u003cbr\u003e\u003cbr\u003eProfessor Panezi will discuss the roles our laws play in situations involving AI. How do we apply liability rules in cases in which hardware, software, and data all come from different sources, and in which humans are involved all at the same time or in sequence? Most essentially, how do laws help us deal with the risks and prevent harms, and also hold the right individuals responsible for AI-caused or AI-facilitated harms when they occur?\u003c/p\u003e (summary)"]}},{"label":{"en":["Series or Event Name"]},"value":{"en":["AIforSociety"]}},{"label":{"en":["Rights Statement"]},"value":{"en":["\u003cp\u003e\u003ca href=\"http://creativecommons.org/licenses/by/4.0/\"\u003eAttribution 4.0 International (CC BY 4.0)\u003c/a\u003e\u003c/p\u003e"]}},{"label":{"en":["Date"]},"value":{"en":["2021-02-24 (issued)"]}},{"label":{"en":["Type"]},"value":{"en":["Educational","Event"]}},{"label":{"en":["Agent"]},"value":{"en":["Laird, Hero (Creator)","Panezi, Argyri (Presenter)","Szigeti, Péter (Presenter)","University of Alberta Faculty of Law (Collaborator)","Digital Law \u0026amp; Innovation Society (Collaborator)"]}},{"label":{"en":["Format"]},"value":{"en":["video/mp4"]}},{"label":{"en":["Subject"]},"value":{"en":["artificial intelligence (topical)"]}},{"label":{"en":["Language"]},"value":{"en":["English"]}}],"summary":{"en":["\u003cp\u003eArgyri Panezi\u003cbr /\u003eArgyri Panezi is an expert in law and technology and intellectual property. She specializes in Internet law and policy, intellectual property law, data protection, intellectual goods management, automation, machine learning and AI. She is a professor at IE Law School in Madrid, where she teaches contracts, with an emphasis on smart contracts, as well as a master\u0026rsquo;s course on copyright law in the digital era.\u003cbr /\u003e\u003cbr /\u003eShe holds a Ph.D. from the European University Institute, an LLM. from Harvard Law School and an LLB. from the University of Athens. She is a research fellow at Stanford University and has held research and teaching positions at the European University Institute, at Berkeley School of Law and at the New York University School of Law. Prior to her doctoral studies she practised competition law in a private law firm in Brussels.\u003cbr /\u003e\u003cbr /\u003eProfessor Panezi will discuss the roles our laws play in situations involving AI. How do we apply liability rules in cases in which hardware, software, and data all come from different sources, and in which humans are involved all at the same time or in sequence? Most essentially, how do laws help us deal with the risks and prevent harms, and also hold the right individuals responsible for AI-caused or AI-facilitated harms when they occur?\u003c/p\u003e"]},"requiredStatement":{"label":{"en":["Attribution"]},"value":{"en":["\u003cp\u003e\u003ca href=\"http://creativecommons.org/licenses/by/4.0/\"\u003eAttribution 4.0 International (CC BY 4.0)\u003c/a\u003e\u003c/p\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/000/165/041/small/10.DigitalLawForumLiabilityforAIAnEcosystemApproach.mp4_1660683063.jpg?1660683068","type":"Image","format":"image/jpeg"}],"items":[{"id":"https://ualberta.aviaryplatform.com/collections/2021/collection_resources/77730/file/165041","type":"Canvas","label":{"en":["Media File 1 of 1 - 10._Digital_Law_Forum_Liability_for_AI_An_Ecosystem_Approach.mp4"]},"duration":3674.24,"width":640,"height":360,"thumbnail":[{"id":"https://d9jk7wjtjpu5g.cloudfront.net/collection_resource_files/thumbnails/000/165/041/small/10.DigitalLawForumLiabilityforAIAnEcosystemApproach.mp4_1660683063.jpg?1660683068","type":"Image","format":"image/jpeg"}],"items":[{"id":"https://ualberta.aviaryplatform.com/collections/2021/collection_resources/77730/file/165041/content/1","type":"AnnotationPage","items":[{"id":"https://ualberta.aviaryplatform.com/collections/2021/collection_resources/77730/file/165041/content/1/annotation/1","type":"Annotation","motivation":"painting","body":{"id":"https://aviary-p-ualberta.s3.wasabisys.com/collection_resource_files/resource_files/000/165/041/original/10._Digital_Law_Forum_Liability_for_AI_An_Ecosystem_Approach.mp4?1660682993","type":"Video","format":"video/mp4","duration":3674.24,"width":640,"height":360},"target":"https://ualberta.aviaryplatform.com/collections/2021/collection_resources/77730/file/165041","metadata":[]}]}],"annotations":[]}]}