Artificially Intelligent Techniques for the Diffusion and Adoption of Innovation for Crisis Situations

Abstract

The diffusion and adoption (D&A) of innovation propels today's technological landscape. Crisis situations, real or perceived, motivate communities of people to take action to adopt and diffuse innovation. The D&A of innovation is an inherently human activity; yet, artificially intelligent techniques can assist humans in six different ways, especially when operating in fifth generation ecosystems that are emergent, complex, and adaptive in nature.

Humans can use artificial intelligence (AI) to match solutions to problems, design for diffusion, identify key roles in social networks, reveal unintended consequences, recommend pathways for scaling that include the effects of policy, and identify trends for fast-follower strategies. The stability of the data that artificially intelligent systems rely upon will challenge performance; nevertheless, the research in this area has positioned several promising techniques where classically narrow AI systems can assist humans. As a result, human and machine interaction can accelerate the D&A of technological innovation to respond to crisis situations.

Citation

Choinski, T.C. (2020), "Artificially Intelligent Techniques for the Diffusion and Adoption of Innovation for Crisis Situations", Masakowski, Y.R. (Ed.) Artificial Intelligence and Global Security, Emerald Publishing Limited, Leeds, pp. 35-52. https://doi.org/10.1108/978-1-78973-811-720201002