Future Horizons

Abstract

This chapter explores the transformative impact of artificial intelligence (AI) on various research domains. The chapter highlights the leading role of AI research platforms in the development of AI in research practices. In addition, the chapter describes the fundamental concepts of AI powered tools such as generative artificial intelligence and large language models. The narrative extends to AI integration in modern research practices, spotlighting its use in hypothesis formulation, generation of research questions, and data analysis. AI's contributions to data analysis in many fields are explored, particularly in automating processes and generating insights. The discussion further explores several AI applications in various research domains such as RPA, Semantic Scholar, and DeepChem. However, potential bias and transparency are main challenges of AI-powered applications. Therefore, it is imperative to champion explainable AI and human-in-the-loop approaches to improve confidence. The chapter recommends further interdisciplinary collaboration between researchers and AI developers.

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