Abstract
Trust between human beings is paramount in everyday interaction. From all parties trusting in the value of money, to us trusting a contract. However, as artificial intelligence becomes more prominent in our lives, the question of how to increase trust and how to maintain trust arise. The legislators have a say in the equation. The industry professionals have a say in the equation. The everyday users have a say in the equation. The academia however has been struggling in giving out concrete examples of increasing or adjusting trust to an appropriate level. Moreover, the academia has lacked in answering the questions of what actually affect trust levels we as humans portray towards artificial intelligence. This study attempts to uncover factors which lead towards Distrust in artificial intelligence algorithms, via the means of qualitative analysis and further, by talking to industry professionals with different backgrounds. The findings suggest that the lack of ethics and the presence of bias play a role as what this paper refers to as effectors in eventual poor resolution between the trustworthiness or the AI and the users’ trust
| Educations | MSc in Business Administration and E-business, (Graduate Programme) Final Thesis |
|---|---|
| Language | English |
| Publication date | 2021 |
| Number of pages | 62 |
| Supervisors | Torkil Clemmensen |