Deepfake detection and mitigation in the era of generative AI

Publication Type

Journal Article

Publication Date

10-2026

Abstract

The rapid advancement of generative artificial intelligence (GenAI) has enabled highly realistic synthetic media, opening up unprecedented opportunities for digital content creation while amplifying the risks associated with deepfake media. The growing prevalence of manipulated and AI-generated content poses significant challenges to information integrity, public trust, and digital security. In response, governments, industry, and academia have devoted substantial efforts to developing effective deepfake detection and mitigation strategies. This article provides an overview of these efforts and discusses major challenges and future opportunities in combating deepfakes in the era of GenAI. We review recent progress in policy and governance, industry initiatives, and academic advances, and highlight emerging directions toward trustworthy and resilient digital media ecosystems.

Keywords

Deepfakes, Signal detection, Modeling, Media, Educational institutions, Watermarking, Artificial intelligence, Generative AI, Quality assessment, Electronic publishing

Discipline

Artificial Intelligence and Robotics | Information Security

Research Areas

Intelligent Systems and Optimization

Publication

IEEE Intelligent Systems

Volume

41

Issue

5

First Page

42

Last Page

46

ISSN

1541-1672

Identifier

10.1109/MIS.2026.3728491

Publisher

Institute of Electrical and Electronics Engineers

Additional URL

https://doi.org/10.1109/MIS.2026.3728491

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