About this Course

Machines may help in optimising and accelerating research practices – acquisition of research skills, but (as of today) they lack the ability to assess how research can impact society, culture and consider ethical values. They lack judgment based on emotions, individual and collective experiences, and ethics.​

Conducting research is about giving your voice, shaping it with purpose, responsibility, and vision, ensuring that innovation serves the community, addresses pressing questions rather than merely advancing technology.​

Human judgment and critical thinking are important to assess the results provided by AI.

Objectives

• Equip research scholars with foundational skills to integrate AI into their research practices.​

• Introduce various AI applications useful in crafting research Questions, Hypothesis Generation and validation, literature reviews, data analysis, data visualisation and Hypothesis development.​

• Promote awareness of ethical considerations when using AI in academic research.​

• Discuss challenges associated with AI applications, including biased algorithms and concerns related to academic integrity.​

• Ensure students complete the course with practical knowledge of AI tools and ethical usage practices that support high-quality research outcomes.

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