A problem at both ends of the justice system
Synthetic media, meaning images, video, audio or text generated or manipulated by artificial intelligence to depict something that did not happen, creates difficulties for policing in two quite different directions. On one side, generative tools have made it far easier to produce convincing fabricated content used to commit fraud, harass individuals through non-consensual intimate imagery, clone a voice to authorise a fraudulent payment, or manufacture child sexual abuse material without a real victim being directly photographed, though the harm caused remains genuine and the material is treated in law in most jurisdictions as seriously as material depicting a real child. Investigating and prosecuting these new categories of offence increasingly falls to police forces and specialist units that did not previously need forensic tools built for this purpose.
On the other side is a subtler and, in some respects, more corrosive problem. As the public becomes aware that any video or recording could plausibly be fabricated, genuine evidence becomes easier to cast doubt on, whether the doubt is well founded or not. Both Europol and Interpol have published dedicated assessments of this threat to law enforcement, with Interpol's 2024 report describing the risk in terms of unmasking deception rather than simply detecting fakes, precisely because the two problems, fabricated evidence entering the system and genuine evidence being wrongly dismissed as fabricated, tend to arrive together.
Detection tools are not a settled solution
A substantial commercial market has emerged around deepfake detection, with vendors offering tools intended to authenticate digital media for investigators and, ultimately, for use in court. Several offer secure or air gapped deployment specifically so that sensitive evidence never has to leave an agency's own systems during analysis, an important practical consideration when the material under review may itself be extremely sensitive, such as suspected abuse material.
The more difficult question is whether these tools actually work well enough to be relied upon. Analysis from digital forensics specialists has been notably blunt on this point, describing existing deepfake detectors as prone to inaccuracy and incompleteness, since a system trained to spot signs of generative AI will often miss more conventional forms of manipulation entirely, and arguing that a detector's output, typically a probability score or a flag, falls well short of the standard required for evidence a court can safely rely on. No detection method currently available is regarded as reliably foolproof across text, audio, video and images, and research specifically into detecting synthetic speech, an increasingly common vector for fraud through cloned voices, continues to report that established detection approaches are not sufficient on their own.
Courts are still working out the rules
The legal system has not yet settled on how to handle deepfake evidence, and the most concrete recent marker of that uncertainty comes from the body that writes the rules governing evidence in American federal courts. Having been warned by its own reporter that existing authentication rules may be too permissive given how easy convincing fakes are now to produce, the Federal Rules of Evidence Committee considered specific proposals, including shifting the burden of proof onto whoever introduces AI generated evidence once a credible fabrication challenge is raised, but concluded in May 2026 that a formal rule change was not yet warranted, choosing to keep the question under study rather than legislate quickly around a fast moving technology.
In the meantime, courts are handling disputes case by case. A California court dismissed a case in 2025 after finding that a party had submitted fabricated exhibits, including a fake video, with the deception in that instance caught partly through metadata inconsistencies. In a separate and more clear cut case, a state court judge issued sanctions against a party after conducting her own investigation into video evidence that displayed the kind of visible flaws, mismatched audio and inconsistent image characteristics, that a careless fabrication can produce. Not every case is so easy to resolve, and where fabrication is disputed rather than obvious, proposals under discussion include requiring judges rather than juries to rule on authenticity as a preliminary question. Separately, at least one dedicated international litigation tracker has begun cataloguing deepfake related court cases and regulatory action across jurisdictions, reflecting how quickly this body of case law is growing.
The regulatory picture is fragmented
Attempts to regulate synthetic media directly, as distinct from handling it as an evidential question after the fact, have run into constitutional obstacles in the United States. A federal judge blocked a California law restricting the distribution of certain deepfakes in 2024, finding it conflicted with First Amendment protections for political speech, a ruling that has pushed most American lawmakers toward lighter touch disclosure requirements, obliging creators to label AI generated content rather than banning categories of it outright, since these have so far avoided the same constitutional challenge. No comparably tested legal framework exists yet specifically addressing deepfakes in UK criminal law, where such material is generally prosecuted under existing offences covering fraud, harassment, intimate image abuse or child sexual abuse material depending on its content, rather than under a bespoke synthetic media statute.
What is not settled
There is no detection technology in general use that the forensic and legal community regards as reliable enough to settle an authenticity dispute on its own, which means the burden of proving or disproving a fabrication claim currently falls heavily on traditional forensic analysis, metadata examination and expert testimony rather than a single automated tool. Legal commentators have also noted that the cost of a thorough forensic authentication challenge is not trivial, raising a fairness concern in criminal cases specifically, where a well resourced prosecution may be able to mount a more sophisticated authenticity challenge or defence than an individual defendant can afford to contest. How quickly formal evidentiary rules catch up with the technology, in the UK, the United States or elsewhere, remains genuinely open.
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