The Darker Tones of Generative AI
Wa'el Musa Hadi, Ala Hamarsheh · Advances in computational intelligence and robotics book series · 2025
Generative artificial intelligence has introduced both innovative possibilities and heightened concerns in the realm of audio production, particularly when it comes to sound coloration. This chapter explores the complex interplay between sophisticated AI-driven audio manipulation and the cybersecurity challenges that emerge from technologies capable of crafting highly convincing yet potentially deceptive audio content. It clarifies core concepts of generative models, situates them within the broader theoretical frameworks of machine learning and adversarial risk, and addresses the legal, ethical, and societal implications of employing AI to manipulate sonic characteristics. Emphasizing the urgency of recognizing vulnerabilities and devising robust defensive strategies, this work offers a comprehensive analysis of how generative AI reshapes risks for institutions and individuals in today's interconnected world.