Employee Perceptions of the Effective Adoption of AI Principles

This study examines employee perceptions on the effective adoption of artificial intelligence (AI) principles in their organizations. 49 interviews were conducted with employees of 24 organizations across 11 countries. Participants worked directly with AI across a range of positions, from junior data scientist to Chief Analytics Officer. The study found that there are eleven components that could impact the effective adoption of AI principles in organizations: communication, management support, training, an ethics office(r), a reporting mechanism, enforcement, measurement, accompanying technical processes, a sufficient technical infrastructure, organizational structure, and an interdisciplinary approach. The components are discussed in the context of business code adoption theory. The findings offer a first step in understanding potential methods for the effective adoption of AI principles in organizations.

Automated summary

This study examines employee perceptions on the effective adoption of AI principles in organizations. The study identifies eleven components that can impact the effective adoption of AI principles, such as communication, management support, and training. The findings provide a first step in understanding potential methods for the effective adoption of AI principles in organizations.