Artificial Intelligence for Global Health: Learning From a Decade of Digital Transformation in Health Care

The health needs of those living in resource-limited settings are a vastly overlooked and understudied area in the intersection of machine learning (ML) and health care. While the use of ML in health care is more recently popularized over the last few years from the advancement of deep learning, low-and-middle income countries (LMICs) have already been undergoing a digital transformation of their own in health care over the last decade, leapfrogging milestones due to the adoption of mobile health (mHealth). With the introduction of new technologies, it is common to start afresh with a top-down approach, and implement these technologies in isolation, leading to lack of use and a waste of resources. In this paper, we outline the necessary considerations both from the perspective of current gaps in research, as well as from the lived experiences of health care professionals in resource-limited settings. We also outline briefly several key components of successful implementation and deployment of technologies within health systems in LMICs, including technical and cultural considerations in the development process relevant to the building of machine learning solutions. We then draw on these experiences to address where key opportunities for impact exist in resource-limited settings, and where AI/ML can provide the most benefit.Comment: Accepted Paper at ICLR 2020 Workshop on Practical ML for Developing Countrie

AI for social good: unlocking the opportunity for positive impact

Advances in machine learning (ML) and artificial intelligence (AI) present an opportunity to build better tools and solutions to help address some of the world’s most pressing challenges, and deliver positive social impact in accordance with the priorities outlined in the United Nations’ 17 Sustainable Development Goals (SDGs). The AI for Social Good (AI4SG) movement aims to establish interdisciplinary partnerships centred around AI applications towards SDGs. We provide a set of guidelines for establishing successful long-term collaborations between AI researchers and application-domain experts, relate them to existing AI4SG projects and identify key opportunities for future AI applications targeted towards social good

The Role of Information Communication Technology (ICT) in Rural Development:

Abstract text.Thesis (MCom) -- Faculty of Management and Commerce, 202

The Role of Information Communication Technology (ICT) in Rural Development:

Abstract text.Thesis (MCom) -- Faculty of Management and Commerce, 202

The impact of contextual factors on the implementation of the e-education policy in previously disadvantaged areas in Cape Town: the teachers perspective

Despite the fact that it has been established that contextual factors affect implementation and implementation outcomes of ICT projects, there is a dearth of information on the impact of contextual factors on the implementation of the white paper in e-education in schools in previously disadvantaged areas in South Africa. To fill this gap, this study investigated how contextual factors affected the implementation and implementation outcomes of the white paper in e-education in schools in previously disadvantaged areas. In addition, the study sought to evaluate if these interventions added value to the teachers work. This study adopted a critical interpretivist approach and used the contextual interaction theory to guide the investigation. The research data was obtained through semi structured interviews with teachers and school management staff of public schools in previously disadvantaged areas in Cape Town, a panel discussion and review of the pertinent policy documents on Information Communication and Technology implementation in South African government schools. The findings of the study show that the implementation context, the history of the implementers, interactions between the policy actors and other issues that are in no way related to the implementation process affected the implementation process and outcomes. Furthermore, the implementation process was wrought with high degrees of ambiguity which is typical in public sector ICT policy implementation. The study also shows that there is need to have measures to evaluate ICT policy implementation which take into consideration the context in which the project exists and the perception of the intended recipients about the success or failure of the implementation. It is hoped that the results will assist those who carry out ICT implementation projects in disadvantaged areas in South Africa and similar context elsewhere insights into the implementation dynamics which can affect implementation outcomes. This thesis contributes to the knowledge base for effective implementation of e-policies, particularly in contexts such as previously disadvantaged areas by pointing out contextual issues and factors that mitigate against implementation efforts. The thesis also reveals practical implications for policy makers by highlighting the need for policies to be based on valid assumptions and be suitable to implementation contexts reflecting the needs, understandings and social realities of primary beneficiaries