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President Cyril Ramaphosa, in his 2018 State of the Nation Address, stated that “Thieves who are stealing public funds should be arrested and prosecuted”, and called for lifestyle audits of public-sector employees. The gross misuse of COVID-19 relief funds by public officials indicated the urgent need to execute these audits as an anti-corruption measure. This paper aims to provide a review of the existing state of affairs with regard to the application of lifestyle audits in South Africa.

This paper critically analyses the literature available on the current position of South Africa concerning lifestyle audits in the public sector, based on the mandates of some of the anti-corruption agencies that could be responsible for the conducting and processing of such audits.

South Africa has only recently seen a framework for applying lifestyle audits, developed by the Department of Public Service and Administration. Although these first steps in developing a standard practice are laudable, the practical process of dealing with misconduct and/or criminal matters remains to be seen. It is recommended that South Africa consider a legislative approach to dealing with unlawfully obtained wealth by either criminalising the act of illicit enrichment (per the United Nations Convention Against Corruption) or creating an Unexplained Wealth Order, as seen, for example, in the UK.

South Africa is in dire need of addressing corruption in the public sector. Despite lifestyle audits being called for, the lack of proper implementation is negating any positive outcomes. Therefore, alternative solutions should be investigated.

The purpose of this paper is to demonstrate the rationale, technical framework, content creation workflow and evaluation for a multilingual massive open online course (MOOC) to facilitate information literacy (IL) considering cultural aspects.

A good practice analysis built the basis for the technical and content framework. The evaluation approach consisted of three phases: first, the students were asked to fill out a short self-assessment questionnaire and a shortened adapted version of a standardized IL test. Second, they completed the full version of the IL MOOC. Third, they were asked to fill out the full version of a standardized IL test and a user experience questionnaire.

The results show that first the designed workflow was suitable in practice and led to the implementation of a full-grown MOOC. Second, the implementation itself provides implications for future projects developing multilingual educational resources. Third, the evaluation results show that participants achieved significantly higher results in a standardized IL test after attending the MOOC as mandatory coursework. Variations between the different student groups in the participating countries were observed. Fourth, self-motivation to complete the MOOC showed to be a challenge for students asked to attend the MOOC as nonmandatory out-of-classroom task. It seems that multilingual facilitation alone is not sufficient to increase active MOOC participation.

This paper presents an innovative approach of developing multilingual IL teaching resources and is one of the first works to evaluate the impact of an IL MOOC on learners' experience and learning outcomes in an international evaluation study.

This article revisits some theories and concepts of public administration, including those related to public value, transaction costs and social equity, to analyze the advantages and disadvantages of using artificial intelligence (AI) algorithms in public service delivery. The author seeks to mobilize theory to guide AI-era public management practitioners and researchers.

The author uses an existing task classification model to mobilize and juxtapose public management theories against artificial intelligence potential impacts in public service delivery. Theories of social equity and transaction costs as well as some concepts such as red tape, efficiency and economy are used to argue that the discipline of public administration provides a foundation to ensure algorithms are used in a way that improves service delivery.

After presenting literature on the challenges and promises of using AI in public service, the study shows that while the adoption of algorithms in public service has benefits, some serious challenges still exist when looked at under the lenses of theory. Additionally, the author mobilizes the public administration concepts of agenda setting and coproduction and finds that designing AI-enabled public services should be centered on citizens who are not mere customers. As an implication for public management practice, this study shows that bringing citizens to the forefront of designing and implementing AI-delivered services is key to reducing the reproduction of social biases.

As a fast-growing subject, artificial intelligence research in public management is yet to empirically test some of the theories that the study presented.

The paper vulgarizes some theories of public administration which practitioners can consider in the design and implementation of AI-enabled public services. Additionally, the study shows practitioners that bringing citizens to the forefront of designing and implementing AI-delivered services is key to reducing the reproduction of social biases.

The paper informs a broad audience who might not be familiar with public administration theories and how those theories can be taken into consideration when adopting AI systems in service delivery.

This research is original, as, to the best of the author’s knowledge, no prior work has combined these concepts in analyzing AI in the public sector.