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This study aims to investigate the users’ perception on the utilisation of artificial intelligence (AI) for the management of records at the Council for Scientific and Industrial Research (CSIR) in South Africa. User perception plays a crucial role in the utilisation of AI for the management of records at the CSIR. It is important to know the views of the users, especially how they think AI can be used for effective and efficient management of records.

The convergent mixed methods research was applied, and data was collected using interviews and questionnaires. Data was analysed thematically and statistically and presented using tables and figures.

This study reveals that the users were not aware of the application of AI for the management of records until the workshops, which were facilitated by the researcher. The users are of the view that AI can be used to provide efficient storage of records, quick retrieval of records and adequate security. This study further reveals that the CSIR is not yet ready to use AI for the management of records because of the lack of knowledge and resources to implement AI.

This study also proposes a framework regarding the users’ perception on the utilisation of AI for the management of records at the CSIR. It is hoped that the framework proposed will serve as a benchmark and guideline for user perception regarding the use of AI for the management of records in the archives and records management industry.

The study aims to draw lessons from other countries and propose a framework for developing smart libraries in transformation in South Africa. The framework will be useful to policymakers and scholars in library and information science.

This study used a qualitative approach based on a systematic literature review and the researchers’ experience concerning the transformation of smart libraries in South Africa. The researchers selected databases to access full-text, abstract or full-text linking facilities. The researchers generated the study’s literature review using keywords derived from themes. The keywords used include “smart libraries,” “functions of smart libraries” and “smart library infrastructure,” based on the objectives of the study.

The findings reveal that developing smart libraries in South Africa is feasible, but all stakeholders must cooperate and collaborate to create smart libraries. The findings of this study show that South Africa can draw lessons from other countries on the way forward in developing smart libraries. The results indicate that lack of funding, digital infrastructure and technical skills are among the factors inhibiting the development of smart libraries.

The issue of smart libraries has become a key on the agenda on a global scale, and South Africa is no exception to such developments. This study proposes a framework for developing smart libraries based on lessons learned within and outside South Africa.

This study aims to investigate how a policy framework can be applied in the use of artificial intelligence (AI) for the management of records at the Council for Scientific and Industrial Research (CSIR) in South Africa. A policy and legal framework enables the records divisions to protect, administer and make their records available in a safe and professional way. Policies play a crucial role in ensuring that records are properly managed.

Convergent mixed-methods research was conducted, and data were collected using interviews and questionnaires. Data were analysed thematically and statistically and presented in tables and figures.

The study reveals that the policy framework should also include the application of AI for the management of records. Therefore, this study further concludes that the CSIR should review their policy framework to ensure the application of AI for the management of records is accommodated.

The study proposed a framework to guide the application of the policy framework in using AI for the management of records at CSIR. It is hoped that the proposed framework will serve as a guideline for the implementation of a policy framework in the utilisation of AI in the archives and records management sector.