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Chesney & Citron: "Deep Fakes and the Infocalypse"

paper

Credibility Rating

3/5
Good(3)

Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.

Rating inherited from publication venue: SSRN

A widely cited foundational paper in AI governance circles on synthetic media risks; relevant to AI safety researchers studying misuse of generative AI and the societal consequences of capability proliferation.

Metadata

Importance: 72/100working paperanalysis

Summary

Chesney and Citron provide a foundational legal and policy analysis of deepfake technology, examining how AI-generated synthetic media creates harms across privacy, democracy, and national security. They argue deepfakes will accelerate 'truth decay' and propose a multi-layered response involving law, platform governance, and technical countermeasures.

Key Points

  • Deepfakes leverage machine learning to produce increasingly realistic synthetic audio/video, becoming both more convincing and more accessible to non-expert actors.
  • Harms span multiple domains: non-consensual intimate imagery, political disinformation, fraud, and destabilization of international relations.
  • The 'liar's dividend' effect is a key concern: deepfakes allow bad actors to dismiss genuine evidence as fabricated, eroding epistemic trust broadly.
  • Existing legal frameworks (defamation, fraud, privacy torts) offer partial but insufficient remedies, requiring new legislative and regulatory approaches.
  • Technical detection countermeasures are in an arms race with generation capabilities, necessitating platform-level authentication and provenance standards.

Cited by 1 page

PageTypeQuality
AI-Driven Legal Evidence CrisisRisk43.0

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# Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security

[107 California Law Review 1753 (2019)](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3213954#)

[U of Texas Law, Public Law Research Paper No. 692](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3213954#)

[U of Maryland Legal Studies Research Paper No. 2018-21](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3213954#)

68 PagesPosted: 21 Jul 2018Last revised: 17 Dec 2019

[See all articles by Robert Chesney](https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=119080 "View other papers by this author")

## [Robert Chesney](https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=119080 "View other papers by this author")

University of Texas School of Law

## [Danielle Keats Citron](https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=463718 "View other papers by this author")

University of Virginia School of Law

Date Written: July 14, 2018

### Abstract

Harmful lies are nothing new. But the ability to distort reality has taken an exponential leap forward with “d

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Resource ID: d3ad96f069ddc77e | Stable ID: ZDBkNGVmMD