AI implementation challenges

The third major piece was research for the Augmented Humans project was to undertake expert interviews with AI developers and solutions providers on what they saw as the key implementation challenges faced by organisations. The paper was published at the Hawaii International Conference on Systems Sciences (HICSS) 2024. I’ve loaded the presentation I made at the conference below, followed by the abstract and conclusions.

Citation

Raftopoulos, M., and Hamari, J., (2024). Organizational Challenges in Adoption and Implementation of Artificial Intelligence. Hawaii International Conference on System Sciences (HICSS) 2024, Waikiki, Hawaii, USA.

Abstract

Our investigation into the organisational challenges in the adoption and implementation of artificial intelligence reveals complex dynamics in the interplay between strategic decision-making, implementation, enablement and performance outcomes. We undertook a study of the views of international industry experts on the enablers and barriers of adopting and implementing AI and found five thematic clusters of issues affecting project success and value creation. We contribute to theory development and a conceptual model on navigating organisational adoption and implementation of AI technology.

Conclusions

Organisations are currently operating in a time of economic, technical and social transition that is rife with conflicting information and rapid change that is framing their decisions to adopt AI technologies. Decision behaviors identified by our experts that align with BTF indicate elements of sufficing but not optimizing, short-term reactions, uncertainty avoidance, and continuous organisational learning. However, this behavior can also be seen as a legitimate response to a technological landscape characterized by hype and instability, mixed AI performance results, and critical long-term consequences of AI adoption need to be negotiated. It is tempting to view these factors as a limitation of current organisational leadership, however, they can also be explained as measured responses in an environment that is becoming increasingly destabilizing and unpredictable despite the expansive potential opportunities for value creation. This places the caliber of strategic decision-making and the skillful enablement of AI technologies as the key differentiators in organisational performance and competitive advantage rather than the AI technology itself.

Funding Statement

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 101023024 for Augmented-Humans. 

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