---

1. Artificial Intelligence for Cyber-Security: A Deceive to Defend Concept

Abstract:

The AI-Aided Cyber Secure system is known to be the next generation of digital security system allowing for predictive analytics, real-time threat detection, and autonomous response. In this space of transformation emerges cyber deception: the use of AI to confuse, mislead, and observe the attacker. This paper considers AI-enhanced deception technologies, positing a conceptual framework in which AI supports traditional cyber-security by incorporating deceptive elements that confuse and trap the attacker. We recap recent research and technology implementation in the moral, ethical and legal space, arguing future where deception will emerge as an active defensive weapon in its own right, not as an add-on.

2.    Bridging the EdTech Divide: A Review of AI-Powered Tools for Underserved Learners in India

Abstract:

Inclusivity is something which is often ignored while development of AI tools which leads to restricted accessibility for those who lack resources. This causes many students to miss out on these useful tools which would otherwise help them immensely. In this research paper, I reviewed some of these tools, specifically Quizlet, Viamo and Quillbot, and identified their strengths as well as the areas which need improvement in terms of inclusivity and accessibility. This review led me to realise huge inclusivity barriers such as lack of multilanguage access and reliance on the internet. I proposed the incorporation of these features in the design of the AI tools so they could foster wider access for a larger number of users. Prioritising inclusivity can help bridge the large education divide which separates the haves from the have-nots while increasing opportunities for those who lack resources.