AI and Research Methodologies
Abstract
This chapter will address the impact of AI on research methodologies on different disciplines. It will focus on the opportunities that AI offers regarding data collection, analysis, and knowledge creation, as well as the matters of challenges and ethical considerations in implementation. The objective is to help researchers achieve a balanced view by providing appropriate frameworks and guidelines aimed towards the implementation of AI within their methodological practices. With the rapid growth and advancement of AI technologies, research methodologies are undergoing one of the most significant transformations in data gathering, analysis, and even interpretation. From natural language processing to machine learning, AI powered tools provide countless innovative opportunities; however, they also come with obstacles like bias, reproducibility problems, and ethical considerations.
Fields of Study & Subjects
Artificial Intelligence Applications
Ethics and Social Impacts of AI
Computational and Text Analysis Methods
Publication details
- Journal / source
- Advances in computational intelligence and robotics book series
- Pages
- 329–348
- Publication date
- 5 February 2026
- Document type
- Book chapter