Securing people against media generative AI - Educative approach towards generative AI

Angawalkar, Rohish Shatanand (2024) Securing people against media generative AI - Educative approach towards generative AI. Masters thesis, Dublin, National College of Ireland.

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Abstract

This paper presents research responding to growing challenges associated with generative AI technologies, particularly in relation to media manipulation and misinformation. As public education is increasingly part of the plan to mitigate potential risks, it has become ever more important for rapid improvements in AI, especially deepfakes and synthetic media. Therefore, this work is motivated by the impending need to empower every individual with the ability and the state-of-the-art means to recognize and react to AI-generated content a threat to cybersecurity and integrity of information.

This work is informed by findings that gauge the effectivity of an interactive educational platform designed to inculcate public awareness and understanding of generative artificial intelligence. This web-based intervention, developed using modern web technologies and AI-driven interventions, significantly enhances users' capability to differentiate between original media and those originating from AI. Post-intervention evaluations come up with a sharp jump in accuracy from 30% to as high as 75%, thus proving that this was a successful platform in terms of elevating awareness and retaining information over time.

This study identifies the roles of effective, interactive, and personalized educational tools as ways to block misinformation and further improve cybersecurity. Besides major development directions in the future, this research points out key directions: continuous update of educational content and broad application across different digital platforms. These findings pave a way for future research and practical implementation in fighting AIdriven media manipulation.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Monaghan, Mark UNSPECIFIED
Subjects:	L Education > L Education (General) Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions:	School of Computing > Master of Science in Cyber Security
Depositing User:	Ciara O'Brien
Date Deposited:	29 Jul 2025 10:16
Last Modified:	29 Jul 2025 10:16
URI:	https://norma.ncirl.ie/id/eprint/8291

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