EVALUATING PUBLIC TRUST IN ARTIFICIAL INTELLIGENCE-DRIVEN CYBERSECURITY SYSTEMS: A CASE STUDY OF UNDERGRADUATE COMPUTER SCIENCE STUDENTS

Abstract

This study aims to investigate the trust of the BSCS undergraduate students with the AI based cybersecurity tools. Understanding whether a person of the field trusts these AI systems is of highly importance. This study has the major question of on what factors dose the trust of the people depends upon. The findings show that the general public holds a relatively neutral opinion on the matter meaning they don't fully trust the AI nor they are against it. The factors of the perceived explainability have a high effect on whether the system is to be trusted or not, for a system to be trusted, the system should give highly detailed explanations of its actions. In addition to the perceived explainability, the factor of privacy concern acts as a independent factor on the overall trust in AI based cyber security systems. This study provides an insight of trust in AI in a developing country and gives factual recommendations to policy makers based on these insights to build a trustworthy AI cybersecurity infrastructure in Pakistan.