The trust of consumers in the emerging world of Smart Machines/AI
: The issue of Transparency

  • Thomas Keiser

Student thesis: Master typesMaster in Business Engineering Professional focus in Data Science


As Artificial Intelligence (AI) is becoming more and more present in our society, it is then very important to focus on the different drivers of AI consumption. As a quite new technology, we find a certain reluctance towards AI for multiple reasons, such as misunderstanding the technology and everything that is implied by it. In this work, we will focus on users’ perceived transparency. Indeed, a regularly given argument is the lack of transparency as AI is often referred to as a black box. Nevertheless, some methods are currently developed to make AI more interpretable and thus explainable. Our goal here will be to determine the impact of perceived transparency on users’ trust and their intention to use AI. To do so, we performed quantitative analysis on 142 respondents. It came out that perceived transparency has an impact on users’ trust, such as users’ trust has an impact on their intention to use AI. We also find out that the profession and revenue can influence the relationship between users’ trust and their intention to use AI. Nevertheless, AI Education had no impact on our work, and could probably be more studied in future research.
Date of Award2021
Original languageEnglish
Awarding Institution
  • University of Namur
SupervisorWafa Hammedi (Supervisor)


  • artificial intelligence
  • Transparency
  • Trust
  • Intention to Use
  • interoperability

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