School of Law (ETDs)
Permanent URI for this communityhttps://hdl.handle.net/10539/37938
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Item A feminist ontology to data commercialisation: Evaluating women's access to information and privacy within the medico-legal sphere in South Africa(University of the Witwatersrand, Johannesburg, 2024) Neto, Ângela Pacheco; Swemmer, SheenaWith the dawn of the Fourth Industrial Revolution, rapid exchanges of data have intensified. Technologies like biometric monitoring, female-oriented technologies, and artificial intelligence bring with them a host of legal issues related to consent, access, privacy, and liability. Vulnerable populations or groups must be given particular attention as standard data practices serve to reinforce existing inequalities. For this reason, female-directed and female- generated health data is specifically considered herein. By employing a data feminism lens, it becomes apparent that the current South African regulatory framework has been legislatively misapproached with regards to the medico-legal sphere in South Africa. The methodology herein draws on critical review methods, thematic analysis, and legal discourse analysis, ultimately utilising the general principles of research inherent in the socio-legal sciences. A responsive and flexible health data law that incorporates intersectional narratives is advanced. This holistic response must account for the two-faced coin of female access to information and privacy in order to address historical structures of power inequityItem Artificial intelligence and automated decision making under the GDPR and the POPIA(University of the Witwatersrand, Johannesburg, 2024) Goldman, Gavin David; Zitzke, E.This analysis considers the concepts of AI and machine learning and examines their reliance on the processing of personal data and the challenges this poses from a data- privacy and human-rights perspective, particularly in relation to profiling. It evaluates the effectiveness of the General Data Protection Regulation (GDPR) and the Promotion of Personal Information Act 4 of 2013 (POPIA) in regulating Automated Decision Making (ADM) and considers the limitations of the right to an explanation under these provisions. The analysis proposes that the current framework of the GDPR and POPIA does not clearly address the issue of explainability and that the focus should shift to providing a data subject with a counterfactual to give practical effect to this right which would better serve data subjectsItem A practical review of the effectiveness of artificial intelligence in the automated review of legal contracts(University of the Witwatersrand, Johannesburg, 2023) Fouché, Jacques GerritThis research report compares the performance of AI-driven automated contract review platforms with that of human contract reviewers, aiming to see improved effectiveness for the elements of time, cost and quality. An empirical study is done by comparing the specific performance of an automated contract review platform provider, Lawgeex, to the human contract reviewers of a business entity, Endress+Hauser. The results of the effectiveness assessment are reported on through dashboard data and questionnaires to the users of the platform. Recommendations are made both in general and specific to the two entities of the empirical study