The compound of technologies we use to call 'AI' promises to revolutionize many sectors. However, there is a substantial gap between what firms say they do with AI and what they actually do with it. Several factors could account for such a gap: the adoption of AI tools is costly since it tends to jeopardize an incumbent's operations ; there is a shortage of human capital trained in the area of AI ; developing AI applcations may require businesses to cope with ethical/societal implications and regulatory issues. In the context of knowledge intensive industries, there is yet another obstacle to the diffusion of AI, namely, 'professionals.' While some individuals may be thrilled to integrate AI in their daily work, some others may just feel threatened. This FCP deals with the distribution of security traders opinions about the impact AI can make on 'trading floors.'
In order to get a better understanding of traders' attitudes toward AI, a survey was circulated in a large trading floor located in Canary Wharf. The resulting dataset contains 192 responses regarding:
- the undirected network of knowledge exchange between traders (traders A and B are connected when A says he/she shares technical and industry knowledge with B and vice versa)
- a trader's opinion about the contribution of AI to his/her productivity and effectiveness in evaluating securities (1 = not at all; 10 = to a great extent). In the datasets, this variable is reported as the node attribute ai.
- There are six zones, each of which hosts 32 individuals (16 individuals on each side of the zone). In the dataset, the location of traders is reported as two node attributes, that is, x-pos and y-pos.
- How do traders' opinions map onto the knowledge exchange network?
- How do traders' opinions map onto the physical layout of the trading floor?
- What are the network-related obstacles to the diffusion of positive opinions about AI in the trading floor?
- What is your recommendation to promote the diffusion of positive opinions about AI in the trading floor?