aceDeepfake-induced harm and AI accountability: a layered civil-liability framework for generative models, platforms, and digital identity
Deepfake and other synthetic-media harms create a civil-liability problem that ordinary tort doctrine does not easily resolve: harmful content may be generated, amplified, monetised, and redistributed through a chain of actors in which no single participant controls the whole causal process. The objective of this article is to develop a layered civil-liability framework for that problem. It examines the Saudi and Jordanian civil-liability regimes as the principal doctrinal focus, while using selected EU, US, UAE…
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As of its July 2, 2026 publication, this peer-reviewed article analyzes how deepfake and synthetic-media harms are produced through combined conduct of generative-model developers, prompting users, platforms and secondary distributors, and argues ordinary tort doctrine does not easily resolve the resulting civil-liability problem in Saudi and Jordanian law.
The gap matters because opaque algorithmic causation and multi-actor distribution create evidential asymmetry and leave corporate and institutional moral-harm claims under-protected under Article 138(2) of the Saudi Civil Transactions Law; whether the proposed layered liability model of custody-based rules, burden shifting and transparency duties would be adopted or effective remains untested in the source.
- Article identifies three pressure points including Article 138(2) of Saudi Civil Transactions Law narrowing moral-harm protection for juridical persons.
- Proposed model includes custody-based rule for algorithmic systems and cautious burden shifting where platforms or developers control relevant information.
- Analysis is private-law centred on Saudi and Jordanian regimes with EU, US, UAE and Chinese materials used only as comparative reference.
Generative deepfake systems produce reputational, identity-based and corporate harms through chains of developers, prompting users, platforms and distributors that ordinary Saudi and Jordanian tort doctrine struggles to remedy.
The rundown
The article details that harmful synthetic content may be generated, amplified, monetised and redistributed through a chain where no single participant controls the whole causal process, challenging single-wrongdoer models.
Its proposed calibrated model lists five elements: clearer protection for juridical-person reputation, a custody-based rule for algorithmic systems, cautious burden shifting where information is controlled by platforms or developers, stronger private-law links to data-protection regimes, and targeted transparency duties for synthetic-media systems.
Sources
- Peer-reviewedFrontiers in Artificial Intelligence2026-07-02
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