Adversarial artificial intelligence (AI) extends far beyond technical vulnerabilities to threaten the foundational trust structures of modern society, creating unprecedented challenges for civic institutions, financial markets, and social cohesion. Unlike isolated attacks targeting individual systems, societal-scale threats exploit human cognitive biases, information distribution mechanisms, and platform recommendation algorithms to achieve strategic objectives across multiple domains simultaneously. This chapter provides approaches for understanding and responding to society-level adversarial threats through advanced detection systems, trust monitoring capabilities, and multi-stakeholder collaboration platforms that protect public discourse and institutional stability.

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Societal Impact and Deepfakes

  • Goran Trajkovski

摘要

Adversarial artificial intelligence (AI) extends far beyond technical vulnerabilities to threaten the foundational trust structures of modern society, creating unprecedented challenges for civic institutions, financial markets, and social cohesion. Unlike isolated attacks targeting individual systems, societal-scale threats exploit human cognitive biases, information distribution mechanisms, and platform recommendation algorithms to achieve strategic objectives across multiple domains simultaneously. This chapter provides approaches for understanding and responding to society-level adversarial threats through advanced detection systems, trust monitoring capabilities, and multi-stakeholder collaboration platforms that protect public discourse and institutional stability.