​Artificial Intelligence (AI) in Research: Opportunities, Ethics & Limitations

​Join us for the inaugural edition of the BRAYN-BRIDGE Webinar Series, a knowledge-sharing webinar designed to connect students, researchers, academics, professionals, and innovators with emerging ideas, technologies, and opportunities shaping the future.

​In this session, we will explore the growing role of Artificial Intelligence (AI) in research, examining how AI is transforming literature reviews, data analysis, academic writing, knowledge discovery, and research productivity. Participants will gain practical insights into the opportunities AI presents for modern researchers while also discussing the ethical considerations, challenges, and limitations associated with its use in academic and scientific work.

​Whether you are a student, researcher, healthcare professional, lecturer, or technology enthusiast, this webinar will provide valuable perspectives on how to responsibly and effectively leverage AI in research and scholarly activities.

​What You'll Learn

• ​The role of AI in modern research

• ​AI tools for literature reviews and data analysis

• ​Opportunities for improving research productivity

• ​Ethical concerns surrounding AI-generated content

• ​Limitations and risks of AI in academic work

• ​Best practices for responsible AI use in research

• ​Future trends in AI-powered research and innovation

​Guest Speaker

​Dr. Tidanke Sysavane Amao
Lecturer, Department of Information Technology & Health Informatics (ITH), Faculty of Allied Health Sciences
Federal University of Health Sciences, Ila-Orangun

​Who Should Attend?

• ​Undergraduate and postgraduate students

• ​Researchers and academics

• ​Healthcare professionals

• ​Data analysts

• ​Technology enthusiasts

• ​Anyone interested in AI and research innovation

​About BRAYN-BRIDGE Webinar Series

​The BRAYN-BRIDGE Webinar Series is a platform dedicated to fostering learning, research, innovation, professional development, and meaningful conversations that empower future leaders, problem-solvers, and change-makers.

​Theme: Learn • Research • Innovate • Excel