A roadmap towards understanding of and trust in AI for decision makers

Abstract

Artificial intelligence (AI) is often experienced as a black box (a complex system or device whose internal workings are hidden or not readily understood (Vrabec, 2021)) by organizational decision makers; however, trust and understanding in this domain are critical to support decision makers in investing in emerging technologies. Viewed as a key growth factor, AI allows any organization to increase its operational efficiency as well as improve its services. Accordingly, the goal of this thesis is to first define a roadmap to increase understanding of and trust in AI and then to test the roadmap with tech and non-tech companies to explore whether and how such a roadmap could lead to the increased use of AI. When decision makers are better informed about the technology and its benefits, investments in AI may become more frequent, thereby, increasing organizational efficiency and improving services.

Date of Award	23 Feb 2022
Original language	English
Supervisor	Laury Bollen (Examiner) & Tim Huygh (Co-assessor)