Implementing artificial intelligence in organizations and the special role of trust

Abstract

Companies increasingly consider adapting artificial intelligence and deep learning technologies, yet very little implementation knowledge is accessible from which managers in charge of AI implementation projects can draw. The authors of this chapter present an approach consisting of four straightforward paradigms of AI implementation, shedding light on essential technical, organizational and—most importantly—human factors. A special emphasis is put on the critical issue of employee trust in AI. At the end of the chapter, an array of measures is presented to help build the right amount of trust in AI systems early in the implementation process.