Learn from AI: The pursuit of objectivity.

Abstract

Humans continuously face threats from emerging novel pathogens and antimicrobial resistant bacteria or fungi, which requires urgently and efficient solutions. Alternatively, microbes also produce compounds or chemicals highly valuable to humans of which require continuous refinement and improvement of yields. Artificial intelligence (AI) is a promising tool to search for solutions combatting against diseases and facilitating productivity underpinned by robust research providing accurate information. However, the extent of AI credibility is yet to be fully understood. In terms of human bias, AI could arguably act as a means of ensuring scientific objectivity to increase accuracy and precision, however, whether this is possible or not has not been fully discussed. Human bias and error can be introduced at any step of the research process including conducting experiments and data processing, through to influencing clinical applications. Despite AI's contribution to advance knowledge, the question remains, is AI able to achieve objectivity in microbiological research? Here, the benefits, drawbacks and responsibilities of AI utilization in microbiological research and clinical applications were discussed.