Suchergebnisse

Presents a framework for the creation of new, liberal democratic states & substates consisting of three parts: (1) a theory of national self-determination based on adoptive nationalism; (2) construction of the right to self-determination based on principles of nationality, human & nationally overlapped cultures, vital national interest override, culture of freedom, cultural control through sovereignty, & liberal democracy; & (3) implementation of adoptive nationalism through nationality or secession referendum & population movements. The capacity of adoptive nationalism to address the criticisms of Wilsonianism is discussed. Adapted from the source document.

The idea of a data transfer agreement (DTA) template for the South African (SA) research community is receiving increasing attention. Whiledeveloping such a DTA template is certainly a worthwhile project, questions regarding the project's practical execution should be addressed,including how to best operationalise the envisioned DTA template, and the content of the envisioned DTA template. It is proposed that anempowerment approach be followed in operationalising the envisioned DTA template, which is contrasted with the regulatory approachfollowed with the material transfer agreement that the Minister of Health promulgated in 2018. While the regulatory approach would entailgovernment making the use of the envisioned DTA template compulsory regardless of the quality of such a template, the empowermentapproach, by contrast, entails a focus on developing a high-quality, professionally drafted DTA template for the SA research community andmaking the use thereof a matter of own choice. Regarding the content of the envisioned DTA template, four hot-button content provisionsare analysed, and it is argued that SA research institutions and researchers should be empowered to: (i) have clarity and legal certaintyregarding their ownership of data, where relevant; (ii) be able to commercialise their research findings without unnecessary contractualconstraints; (iii) avoid falling into the trap of unlawful benefit sharing with research participants; and (iv) be aware that their legal role asresponsible parties, where relevant, cannot be contracted out via a DTA.

Despite the tremendous promise offered by artificial intelligence (AI) for healthcare in South Africa, existing policy frameworks are inadequate for encouraging innovation in this field. Practical, concrete and solution-driven policy recommendations are needed to encourage the creation and use of AI systems. This article considers five distinct problematic issues which call for policy development: (i) outdated legislation; (ii) data and algorithmic bias; (iii) the impact on the healthcare workforce; (iv) the imposition of liability dilemma; and (v) a lack of innovation and development of AI systems for healthcare in South Africa. The adoption of a national policy framework that addresses these issues directly is imperative to ensure the uptake of AI development and deployment for healthcare in a safe, responsible and regulated manner.