AI-based Assistive Technologies & People With Disabilities: Privacy At Risk

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dc.contributor.advisorSaberi, Hengameh
dc.contributor.authorMadaan, Jasmine
dc.date.accessioned2025-04-10T10:44:00Z
dc.date.available2025-04-10T10:44:00Z
dc.date.copyright2024-09-20
dc.date.issued2025-04-10
dc.date.updated2025-04-10T10:44:00Z
dc.degree.disciplineLaw
dc.degree.levelMaster's
dc.degree.nameLLM - Master of Laws
dc.description.abstractThis thesis follows three research questions. First, it explores the potential privacy risks that people with disabilities (PWDs) face in the face of incorporation of artificial intelligence (AI) in assistive technologies (ATs). It then investigates reasons that exacerbate PWDs’ vulnerability to such potential privacy risks. Since legal literature in the context of AI-based ATs is limited, this thesis adopts a combination of multidisciplinary and traditional legal doctrinal research by studying legal literature and empirical research in other disciplines. Lastly, the thesis reviews the current Canadian data protection legal framework to examine if there is any provision specifically addressing PWDs or vulnerable data subjects and highlight legislative gaps impacting PWDs.
dc.identifier.urihttps://hdl.handle.net/10315/42764
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subject.keywordsArtificial intelligence
dc.subject.keywordsAssistive technologies
dc.subject.keywordsPeople with disabilities
dc.subject.keywordsVulnerability
dc.subject.keywordsPrivacy
dc.subject.keywordsData protection
dc.subject.keywordsAI-based ATs
dc.subject.keywordsCanadian legal framework
dc.titleAI-based Assistive Technologies & People With Disabilities: Privacy At Risk
dc.typeElectronic Thesis or Dissertation

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