Public Awareness Of AI-driven Cybersecurity and Social Engineering Threats: A Survey-Based Assessment of Karachi’s Educated Population

Abstract

This study investigates public awareness regarding artificial intelligence (AI), social engineering, and cybersecurity threats among the educated population of Karachi, Pakistan. A quantitative, survey-based methodology was employed, collecting 152 responses from the general public through structured questionnaires distributed via both print and online (Google Forms) channels. The sample predominantly comprised young adults (81.6% aged 18–34), with the majority holding at least a bachelor’s degree (67.8%) and reporting daily internet use (94.7%). Despite this high educational attainment and digital connectivity, the findings reveal significant awareness gaps: only 49% reported strong familiarity with AI, over half (52.3%) were unaware of deepfake technology, 50.3% had never heard of social engineering in a cybersecurity context and 40% were unaware of any Pakistani laws addressing cybercrimes. Notably, 70% had never received any training on cybersecurity or AI-related risks. Bivariate Pearson correlation analysis revealed statistically significant positive relationships between familiarity with specific AI threats and the perceived vulnerability of the public to AI-driven cyberattacks (r = 0.399 for deepfake concern, p < 0.001). These results underscore a paradox of widespread AI adoption coexisting with critically low threat awareness, highlighting an urgent need for structured public education campaigns and policy interventions in Pakistan.