Artificial Intelligence
AI in Action: Practical Solutions for Complex Challenges
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AI and the Economy
Abstract summary
AI and robotics have the potential to increase productivity growth.
What outcomes did they measure? AI Related Activity, Productivity Growth, Labor Market Upheaval
AI and Economic Development: An Evolutionary Investigation and Systematic Review
Abstract summary
This paper addresses the ongoing debate regarding the impact of artificial intelligence (AI) on economic development (ED). The authors highlight the fragmented understanding of AI's role in ED and pioneer research at the intersection of these two fields. The study employs a two-step methodology. Firstly, a bibliometric analysis of 2,211 documents in the AI&ED field using the Bibliometrix tool reveals the field's internal structure and external characteristics through various metrics and algorithms. Secondly, a qualitative content analysis explores clusters identified by bibliographic coupling, providing insights into recent research topics in the AI&ED field.
The bibliometric analysis indicates exponential growth in publications in recent years, with the "Sustainability" journal being the most prominent source. Deep learning and data mining emerge as key research directions for the future. The analysis also reveals close cooperation and communication among scholars in the field. The content analysis highlights five major facets of research focus: intelligent decision-making, social governance, labor and capital, Industry 4.0, and innovation. These findings offer a forward-looking guide for scholars to understand the current state and potential knowledge gaps in the AI&ED field.