Leveraging Artificial Intelligence (AI) for the Maintenance of Science Laboratory Equipment

The dire need for proper maintenance of Science Laboratory Equipment (SLE) to attain efficiency, optimal results and durability cannot be overemphasized. To that end, this study proposes the leveraging of AI for optimization and efficiency in the maintenance of SLE. The study relied on both primary and secondary data. The primary data were sourced from twenty Science Laboratory (SL) professionals, while the secondary data were sourced from repositories, databases and websites on the internet. The mixed method alongside the plausible descriptive and statistical tools was employed. The analysis shows that the maintenance of SLE can be optimized and made efficient by leveraging AI for such purposes. Regrettably, public sector organizations are yet to significantly integrate AI into the maintenance of SLE. The study concludes that AI has the capacity to optimize and enhance efficient maintenance of SLE. It calls on stakeholders in the field of SL to make concerted efforts to significantly integrate AI into the maintenance of SLE. The government should help provide AI technologies for the concerned public sector organizations and sponsor the training of people for technical know-how in using and sustaining these cutting-edge technologies in SL.