Deep Fakes and Computer Vision: The Paradox of New Images

Document Type

Book Chapter

Publication Date


Department 1



This chapter explores the relationship of artificial intelligence with counterinsurgency and counterterrorism efforts and examines the philosophical analysis of digital image processing and its relevance to digital maps that annotate objects of military interest and improve recognition and tracking. Paradoxically, such images generated by machine-learning algorithms, which are meant to enhance image understanding and enhance our grasp of reality, share the same uncertain ontology with computer-generated digital impersonation and deep fakes used in malicious hoaxes and fake news. This paper examines this parallel and argues that new images and heir enabling technologies require rethinking the nature of digital images processing in high-stakes war-fighting contexts in which authentication is rarely possible and ethical issues remain inextricable.



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