FUNAAB Advocates Responsible AI Adoption in Research at 2026 World Laboratory Day

Federal University of Agriculture, Abeokuta has underscored the growing role of Artificial Intelligence in transforming laboratory science and research processes, as the institution commemorated the 2026 World Laboratory Day with a focus on emerging technologies in scientific innovation.

The event, themed “AI in Research: Tools and Practical Use,” was held on April 23, 2026, at the university’s Postgraduate School Auditorium and brought together researchers, laboratory scientists, technologists, and academic stakeholders.

Representing the Vice-Chancellor, Babatunde Kehinde, the Dean of the Postgraduate School, Olusiji Sowande, said Artificial Intelligence should be seen as a support system for human expertise rather than a substitute for it.

He noted that while AI is reshaping global research and laboratory operations, the effectiveness of the technology would depend largely on the readiness of professionals to adapt to evolving scientific tools and digital systems.

According to him, the university is strategically positioning itself to utilise AI-powered research solutions in addressing critical national issues, particularly in agriculture, food security, and environmental sustainability.

He also stressed the need for continuous training and digital capacity development to ensure the responsible deployment of AI technologies in research environments. He warned that although AI has the potential to improve analytical accuracy and accelerate discoveries, poor ethical standards and misuse of such tools could threaten research credibility.

The Dean further called for stronger interdisciplinary collaboration across scientific and technological fields, noting that innovation increasingly thrives through partnerships between researchers, technologists, and data experts.

Earlier, the Director of the Directorate of Technologists and Technical Staff, Wunmi Abimbola-Okuneye, praised laboratory scientists for their contributions to innovation and problem-solving across various sectors.

She highlighted the university’s investments in modern laboratory infrastructure and safety systems, while stressing that the strength of any research laboratory ultimately depends on the competence, professionalism, and integrity of its personnel.

According to her, integrating AI into laboratory operations would enhance data analysis, improve experimental design, and reduce human error in scientific processes. She also emphasised the importance of safety compliance, proper waste management, ethical data handling, and mentorship for upcoming laboratory technologists.

Delivering the keynote lecture, the Director of the Directorate of Academic Information Systems, Olusegun Folorunso, urged laboratory professionals to align with global standards in emerging technologies through continuous learning and digital competence development.

He maintained that researchers who fail to adapt to technology-driven scientific practices risk becoming increasingly irrelevant in the evolving global research landscape.