INFLUENCE OF KNOWLEDGE AND TRUST ON THE PERCEPTIONS OF ALGORITHMIC GENDER BIAS IN ARTIFICIAL INTELLIGENCE

This dissertation aims to understand if knowledge in AI and trust in AI have any influence on how individuals in the tech sector perceive gender bias in AI. Furthermore, to understand if gender has any influence on this as well. The results show that when the knowledge in AI is higher, there is a higher perception of gender bias in AI. Furthermore, when an individual has a lower trust in AI there is also a higher perception of gender bias in AI. Gender also has an impact, as it is shown that men have on average a lower perception of gender bias in AI than women. Furthermore, the effect of trust in AI and knowledge in AI on the perception of algorithmic gender bias is weaker for men than for women.