Affiliation:
1. Global Banking School, UK
2. SRM University, India
Abstract
The three-level model of learning provides a useful entry point for understanding artificial intelligence and its potential impact on human activities. When AI entered social practices at the level of operations, it augmented and complemented activities, thus increasing the efficiency and effectiveness of the way things were done. Likewise, at the level of acts, AI has replaced, substituted, and automated acts that were previously done by humans. Thus, the integration of AI into the realm of research has ushered in a transformative era of data-driven discovery and innovation. AI in research not only spans diverse fields, from enhancing data analysis to aiding decision-making processes, but more importantly, it has become a dynamic field with significant potential and challenges. The purpose of this chapter is to explore its challenges and future directions.
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