Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Building Human-Centric Defenses Against Generative AI Threats in Developing Countries
1
Zitationen
2
Autoren
2025
Jahr
Abstract
Developing countries face heightened cybersecurity risks due to the accelerating adoption of generative AI tools. These technologies have created new vulnerabilities and widened existing protection gaps, especially in resource-constrained regions. This chapter investigates how the rapid expansion of generative AI intensifies threats in emerging economies by examining malicious applications, unauthorized data generation, and social engineering exploits. It aims to uncover approaches that bolster defenses through human-centric methods and responsible governance mechanisms. Analysis of empirical studies indicates that generative AI already affects many sectors, leaving individuals and institutions exposed to novel attack vectors. Findings suggest targeted policy actions and capacity-building measures can mitigate these risks. The chapter concludes by underscoring human oversight and ethical AI deployment as essential countermeasures. This work contributes strategic guidance for safeguarding digitally evolving societies.
Ähnliche Arbeiten
The global landscape of AI ethics guidelines
2019 · 4.514 Zit.
The Limitations of Deep Learning in Adversarial Settings
2016 · 3.859 Zit.
Trust in Automation: Designing for Appropriate Reliance
2004 · 3.386 Zit.
Fairness through awareness
2012 · 3.269 Zit.
Mind over Machine: The Power of Human Intuition and Expertise in the Era of the Computer
1987 · 3.183 Zit.