Accepted Paper
Paper short abstract
The objective of this paper is to describe and analyse their institutional and interdisciplinary linkages both at macro and micro levels, and map AI researchers and their influence in the dissemination of scientific information in the network including their scientific productivity and quality.
Paper long abstract
This paper examines how Artificial Intelligence (AI) research in India is socially constructed by analysing patterns of the co-authorship network among AI researchers affiliated to the first phase of “old” Indian Institutes of Technology (IITs), and how these patterns shape the politics of knowledge production in AI in the context of the Global South. The Scopus database was used to analyse the extent of interdisciplinary and inter-institutional collaboration networks in AI research and correlation is established with the history and philosophy of science in the context of India. Through Social Network Analysis (SNA), the objective of this paper is to describe and analyse their institutional and interdisciplinary linkages both at macro and micro levels, and map AI researchers and their respective influence in the dissemination of scientific information in the network including their scientific productivity and quality. The research refutes the idea that AI develops as the sole result of an internal dynamic and then, unmediated by any other influence, moulds society to fit its patterns. The findings show that AI research projects require appropriate integration of social sciences to aim at concrete deliverables by taking the questions of equity, access and inclusion into consideration.
Governing AI: power, regulation, and struggles across the global South