What If Your Brain’s Memories Could Be Subpoenaed?
The Legal, Ethical, and Existential Crisis of Neural Data in the Courtroom
Picture this: You are seated in a courtroom in 2031. The opposing counsel does not call a witness to the stand. Instead, they submit Exhibit 14-C, a timestamped neural log extracted from the brain-computer interface you have been wearing for the past three years. The log purports to show exactly what you saw, heard, and felt at 9:47 on a Tuesday morning in March 2029. The moment a contract was signed. The moment consent was allegedly given. Or denied.
You want to object. But on what grounds? The data came from your own head.
This is not science fiction. It is a legal and neuroscientific collision course, one that the real-world trajectory of brain-computer interface technology, emerging neural data legislation, and the fundamental instability of human memory are already making inevitable. In 2026, we stand at a peculiar threshold: the tools that make this scenario possible are advancing faster than the legal frameworks designed to contain them, and the philosophical questions it raises have no clean answers.
From Medical Device to Consumer Product: The BCI Timeline
To understand how we got here, it helps to map the pace of advancement. Brain-computer interfaces, devices that establish a direct communication channel between the brain’s electrical activity and an external system, began as clinical tools. Deep brain stimulation for Parkinson’s disease, cochlear implants for hearing loss, motor cortex electrodes for patients with paralysis. The population who used them was small, the regulatory frameworks were medical-grade, and the data involved was narrowly therapeutic.
That began to change with speed that surprised even the researchers involved. In January 2024, Neuralink performed its first human implant, a device the company named “Telepathy,” in a patient with quadriplegia. The chip, roughly the size of a large coin and inserted by a robotic surgical system, allowed the patient to control a computer cursor using thought alone within weeks of implantation. By July 2025, Neuralink had completed nine human implants and was projecting as many as twenty by year’s end, with an ambition of 20,000 annual implants as the technology scales. The company raised $650 million in mid-2025 to accelerate this trajectory.
Neuralink is not operating in isolation. Synchron, which uses a stent-like device inserted through the blood vessels rather than open-brain surgery, has already received FDA Breakthrough Device Designation and conducted human trials in patients with ALS. In 2025, two Canadian patients with spinal cord injuries became the first international recipients at Toronto Western Hospital, controlling computers with thought within minutes of surgery. Blackrock Neurotech and Paradromics are developing their own competing architectures. The non-invasive consumer side of the market, EEG headsets, biometric wearables that infer cognitive states, and neurofeedback devices sold directly to the public, is already in millions of households.
The neurotechnology market is expected to surpass $38 billion by 2032 under even conservative projections. This is not a niche medical segment. It is an emerging platform, one that will, in time, generate persistent, timestamped, and structurally rich records of human neural activity. And wherever rich records exist, subpoenas follow.
The Architecture of a Memory Log
Before we can ask what happens when a court demands access to your neural data, we need to understand what that data actually is, and what it is not.
Neural data, broadly defined, refers to information generated by the measurement of the activity of an individual’s central or peripheral nervous systems. The OECD Recommendation on Neurotechnology defines “personal brain data” as data relating to the functioning or structure of the human brain that includes unique information about an individual’s physiology, health, or mental states. This encompasses anything from raw electrical oscillation patterns captured via electroencephalography (EEG) to the dense, high-channel-count spike trains recorded by implanted electrode arrays like those in the Neuralink platform.
For the purposes of the legal scenario we are examining, the most consequential category is episodic data: neural signals recorded during a specific event, at a specific time, that correlate with what a person was perceiving, attending to, and potentially feeling. Researchers have already demonstrated that machine-learning algorithms applied to functional MRI and EEG data can decode elements of visual scenes that subjects are observing, reconstruct approximate phonological representations of covert speech, and even infer directional intent before a motor action is executed.
Studies have shown that neural data may be used to infer visual content of mental processing, covert speech, and reportedly to predict future tendencies for carrying out certain acts. These findings are still largely confined to controlled laboratory conditions and cannot yet be generalized to naturalistic, real-world experience with high fidelity. But the direction of travel is clear. The question is not whether this level of decoding will be possible, but when, and under what legal conditions the resulting data will be admissible.
A future consumer BCI that passively logs episodic neural activity would not simply record a memory. It would record the neural correlates of encoding, the brain state at the moment an experience was first registered. Think of it less like a video camera and more like a continuous EEG layered with contextual metadata: timestamps, geolocation, physiological arousal markers, and pattern-matched cognitive state annotations generated by an on-device AI. The log is not the memory. It is a machine-generated interpretation of the electrophysiological conditions under which a memory was formed.
That distinction matters enormously, as we will see.
What Neuroscience Says About Memory’s Reliability
The popular model of human memory, a mental video recorder that faithfully stores and replays past events, has been systematically dismantled by decades of cognitive neuroscience research. The implications of this dismantling for the courtroom are profound, and they become even more complicated when neural log data enters the picture.
Research in basic psychology and neuroscience consistently demonstrates that memory is a reconstructive process that is susceptible to distortion. In the courtroom, even minor memory distortions can have severe consequences, driven in part by common misunderstandings about memory, including the assumption that confidently retrieved memories are likely to be accurate.
The neural architecture of episodic memory is distributed across multiple cortical regions, with the hippocampus playing a central coordinating role in binding together the spatial, temporal, and sensory components of an experience. Crucially, each act of remembering is not a passive playback but an active reconstruction. When a memory is retrieved, its constituent elements are briefly reactivated, temporarily rendered malleable, and then reconsolidated. During this reconsolidation window, the memory is susceptible to modification by new information, by the emotional context of retrieval, and by the subtle leading structure of questions posed to the rememberer. This is the misinformation effect, systematically documented by Elizabeth Loftus and replicated extensively since the 1970s.
The misinformation effect is a phenomenon that commonly occurs in eyewitness testimonies, where memory errors are caused by incorrect information encountered between the original event and later memory recall. Age, personality, stress levels, and the social context of recall all modulate susceptibility. Research suggests that associative binding and strategic monitoring are significantly affected by age-related decreases in the medial temporal and prefrontal brain regions.
From a forensic psychology standpoint, this is already well-established territory. One of the most important problems in forensic psychology is the impossibility of reliably discriminating between true and false memories when the only prosecution evidence comes from the memory of a witness or a victim. Both children and adults can develop detailed, emotionally coherent, and subjectively certain memories of events that never occurred. The Deese-Roediger-McDermott (DRM) paradigm in cognitive psychology routinely produces false memories for semantically related words, and the results generalize to more complex autobiographical contexts.
Now introduce a neural log into this picture. The log records the brain state at the moment of encoding. But it does not resolve the misinformation problem; it relocates it. If the original experience was ambiguous, if attention was divided, if arousal altered perceptual processing, the neural signature of that moment will carry those distortions forward into the digital record. A log is not a corrective for the brain’s reconstructive tendencies. It is an artifact of the brain as it was, not the world as it was.
Neuroscientists and law scholars have argued that the question of brain-based memory detection is, at its biological core, limited by constraints that no technology can fully overcome, and that courtroom admissibility of such evidence may currently be a misdirected pursuit. The concern is not merely technical. It is structural. If juries are shown a neural log with the same intuitive trust they extend to video surveillance footage, they may be applying a standard of certainty that the underlying neuroscience cannot support.
The Precedent Already in the Dock
The use of brain-based evidence in legal proceedings is not hypothetical; it has already happened, with disturbing results. In 2008, an Indian court convicted Aditi Sharma of murder relying in part on evidence from the Brain Electrical Oscillations Signature (BEOS) test. The defendant sat in a room wearing a skullcap with scalp electrodes while hearing statements related to the crime. When she heard statements such as “I gave him the sweets mixed with arsenic,” her brain activity, as analyzed by the system, was classified as “experiential knowledge” rather than mere familiarity. The conviction was later overturned, but not before the case illustrated precisely how rapidly courts can embrace neuroscientific evidence before the scientific community has validated it.
This case represents the beta version of what a future neural memory subpoena would look like at scale. The BEOS test relied on passive neural responses to verbal stimuli in a controlled setting. A logged BCI dataset represents something orders of magnitude richer: continuous, contextually embedded, AI-interpreted neural data from the moment in question. The evidentiary appeal to a judge or jury would be enormous. And the potential for catastrophic misinterpretation would be equally large.
Who Owns the Data Inside Your Head?
Before a subpoena can be filed, someone must possess the data. And this is where the legal situation in 2026 is genuinely fractured.
The rapid push toward BCI commercialization has outpaced the development of robust ethical, legal, and regulatory frameworks. Issues of data privacy, user autonomy, equitable access, and long-term safety remain unresolved, raising the risk that commercial imperatives overshadow patient welfare and public trust.
The user agreement you signed when you activated your neural interface almost certainly granted the device manufacturer broad rights to your neural data. A 2024 report by the Neurorights Foundation found that nearly every consumer neurotechnology company reviewed appeared to have access to the consumer’s neural data and provided no meaningful limitations to that access. This data is processed on company servers. It is subject to the company’s own privacy policies, which can be revised unilaterally. And it is potentially subject to law enforcement requests through existing digital evidence frameworks, including production orders, search warrants, and subpoenas directed at the company rather than the individual user.
This is not a theoretical loophole. It is the same legal architecture that has allowed law enforcement to obtain location data from telecommunications carriers, browsing histories from internet service providers, and private messages from cloud storage platforms, often without the knowledge of the individual whose data is being accessed. Neural data, under current law in most jurisdictions, is simply another category of user data held by a third party.
The current legislative landscape addressing neural data specifically includes California (which amended the CCPA to define neural data as sensitive personal information), Colorado (which defined neural data in statute for the first time), and Montana and Connecticut, each with varying scope and protections. States with neural data privacy legislation pending in 2025 include Illinois, Massachusetts, Minnesota, and Vermont.
At the federal level, Senators Cantwell, Schumer, and Markey announced the Management of Individuals’ Neural Data Act of 2025, known as the MIND Act. If enacted, the MIND Act would direct the Federal Trade Commission to examine how neural data should be protected, develop a regulatory framework, and categorize beneficial use cases while safeguarding against exploitation. Importantly, the MIND Act does not yet create enforceable restrictions on data access by third parties. It orders a study. The gap between what is being studied and what is being subpoenaed is precisely the space where people will be harmed before the law catches up.
Internationally, the landscape is equally uneven. In 2021, Chile became the first country in the world to amend its constitution to explicitly protect neurorights, enshrining mental privacy and cognitive integrity as fundamental rights. The Chilean Supreme Court gave that provision real teeth in its landmark 2023 ruling against Emotiv Inc., finding that the company’s collection of brain activity data violated the constitutional neurorights of the claimant. The ruling emphasized the necessity of protecting neurorights including mental privacy and cognitive freedom, and represented the first judicial application of a neurorights framework in any country. Brazil and Mexico are now considering similar constitutional changes.
The European Union’s GDPR, while not yet specifically addressing neural data, likely captures it under the categories of biometric data and health data, both of which require explicit consent, proportionality, and heightened safeguards. In August 2024, UNESCO appointed an expert group to develop a new global standard on the ethics of neurotechnology, with a framework planned for adoption in November 2025.
None of these frameworks, however, directly answers the question of what happens when a prosecutor in a murder trial, a civil litigant in a contract dispute, or a divorce attorney demands access to the neural log from the moment in question.
The Subpoena Scenario: Walking Through the Courtroom
To make this concrete, consider three scenarios that are legally plausible within the next decade given the current trajectory of BCI adoption and existing legal frameworks for digital evidence.
Scenario One: The witnessed crime. A person wearing a passive BCI headset is present during a violent altercation. Prosecutors seek to subpoena the neural log from the event. The defense argues that the log captures not the event but the brain’s encoding of it, which is inherently subjective, anxiety-distorted, and shaped by attentional allocation at the time. The prosecution argues that the timestamp and physiological arousal signature corroborate the witness’s account. Who prevails depends entirely on whether the court treats the log as objective sensor data or as a class of testimonial evidence subject to the protections of the Fifth Amendment.
Scenario Two: The contested contract. Two parties dispute whether genuine consent was given during a contract signing. One party’s implanted BCI logged elevated cortisol markers and suppressed prefrontal coherence at the moment of signing. A neural forensics expert testifies that these signatures are consistent with cognitive coercion. The other party’s attorney challenges whether any neural signature can constitute proof of internal mental state, given the known variability in neurophysiological responses across individuals. The judge must decide whether to admit the data and, if so, what evidentiary weight it carries relative to the signed document.
Scenario Three: The accusation of intent. In a securities fraud case, regulators seek the neural log from a trader’s BCI device to establish foreknowledge of a market-moving decision. The question is not what the trader did, but what they knew and when. Neural data showing elevated activity in regions associated with anticipatory processing becomes an exhibit in a mens rea argument. This is the most legally fraught scenario, because it attempts to use neural data not to reconstruct an external event but to prove an internal mental state, precisely the domain that the Fifth Amendment’s protection against self-incrimination was designed to shield.
The Fifth Amendment Problem and the Right Against Neural Self-Incrimination
The Fifth Amendment to the United States Constitution protects individuals from being compelled to be witnesses against themselves. In its traditional application, this protection has been interpreted by courts to cover testimonial communications, meaning statements or disclosures that implicitly or explicitly assert the truth of a factual claim. Physical evidence, including blood, breath, and DNA, has generally been held to fall outside Fifth Amendment protection, because producing a physical sample is not the same as making a testimonial statement.
Neural data sits at an uncomfortable boundary between these two categories. On one hand, it is physically generated by the body, and a court might analogize it to DNA or fingerprints. On the other hand, it encodes cognitive and intentional states in a way that DNA does not. A neural log that shows what you were thinking, feeling, and intending at a specific moment is, in a meaningful sense, a forced testimony about your inner mental life. Compelling its production arguably violates the spirit of the Fifth Amendment even if current doctrine does not yet recognize it as doing so.
Legal scholars working at the intersection of neuroscience and constitutional law have begun to argue for a cognitive liberty doctrine, the idea that freedom of thought is a foundational liberty that implies a right not to have one’s thoughts compelled as evidence. This argument draws on the First Amendment’s protection of the mind as a private space, the Fourth Amendment’s emerging doctrine on digital privacy established in Carpenter v. United States (2018), in which the Supreme Court held that the government cannot access extended cell-site location data without a warrant, and the Fifth Amendment’s anti-self-incrimination principle.
The Carpenter decision is significant because the Court recognized that certain digital data, specifically data that provides a comprehensive chronicle of a person’s movements and associations over time, is qualitatively different from the limited physical data in older precedents and warrants stronger constitutional protection. A continuous neural log is, in this sense, the most intimate version of the kind of data Carpenter was concerned with. It chronicles not where you were, but what you experienced, felt, and intended while you were there.
Memory Lawyers and the Rise of Neural Forensics
Suppose courts begin admitting neural log data, even in limited and heavily qualified forms. The legal profession will require a new subspecialty almost immediately, and the outlines of what that specialty might look like are already becoming visible in the research literature.
The evidentiary challenges for neural data are substantially more complex than those for any prior category of digital evidence. They require expertise in at minimum four distinct domains: the neuroscience of memory encoding and its known distortions, the hardware and software architecture of the specific BCI device that generated the data, the machine-learning pipelines used to interpret raw neural signals as cognitive state annotations, and the chain-of-custody and data integrity standards required for forensic admissibility.
No current legal framework specifies how neural log data should be authenticated. Under Rule 901 of the Federal Rules of Evidence in the United States, evidence must be authenticated as what it purports to be before admission. For a neural log, this would require establishing that the device was functioning correctly, that the data has not been altered, that the AI interpretation layer is reliable and was applied consistently, and that the data can be linked without ambiguity to the specific individual and timeframe claimed. Each of these requirements raises novel technical and procedural questions.
The defense bar would need experts capable of challenging neural evidence on multiple fronts simultaneously. What was the signal-to-noise ratio in the recording at the time in question? What is the false-positive rate of the cognitive state classification algorithm used by the device manufacturer? Was the individual taking any medication, experiencing unusual stress, or in an atypical physical state that might produce neural signatures the algorithm misclassifies? Was the device firmware up to date, and if not, what is the effect on data integrity?
On the prosecution side, neural forensics specialists would become essential for presenting complex electrophysiological data in a form that a lay jury can understand without being misled by its apparent scientific precision. The risk of what researchers call the CSI effect, the tendency of jurors to overweight physical and scientific evidence relative to its actual probative value, is particularly acute for neural data, which carries an almost metaphysical authority as a direct readout from the seat of consciousness.
The emergence of this specialty is not merely speculative. Law schools including those at UC Hastings and Harvard Law have active research programs at the intersection of neuroscience and law. The MacArthur Foundation’s Research Network on Law and Neuroscience, which concluded its formal phase but seeded a generation of neuroscience-trained legal scholars, produced the foundational literature that courts will increasingly be required to engage with as neural evidence cases arise.
The Right to Forget: Identity, Deletion, and the Politics of Neural Archives
There is a dimension of the neural data subpoena problem that extends beyond the courtroom into philosophy of identity. We forget things for reasons. Some forgetting is biological, the natural decay of memory traces that are not repeatedly reactivated. Some is functional, the compression of redundant information to make cognitive space for new learning. And some, according to psychologists who study trauma, is protective, a form of motivated suppression that allows people to continue functioning after experiences that would otherwise be destabilizing.
The right to be forgotten, formally enshrined in European data protection law as the right to erasure under GDPR Article 17, reflects a recognition that the persistence of digital data about a person constitutes a form of ongoing harm. The past self is not identical to the present self, and forcing a person to be permanently defined by data generated by earlier versions of themselves may be both unjust and identity-violating.
For neural data, this argument has a biological extension. The brain’s natural reconsolidation processes mean that every memory, every time it is retrieved, is slightly revised. The person who remembers a difficult event from five years ago is not accessing a preserved original but a reconstruction shaped by everything that has happened since. A neural log, by contrast, preserves the brain state at encoding with permanent fidelity. It freezes a subjective moment that the brain itself would have metabolized and transformed. In some sense, a neural log is more the person than the person is, at least with respect to that particular instant.
This creates an identity paradox that the law has no ready framework to resolve. The log is generated by your brain. But the brain it records is no longer you. Compelling you to produce it as evidence requires the present you to answer for the mental state of a past you who no longer exists in exactly that form. This is not merely a philosophical puzzle. It is a practical problem for every doctrine of mens rea, intent, and culpability that the legal system has developed under the assumption that memory is fallible and time creates natural distance between act and judgment.
Toward a Framework: What Protection Might Look Like
Given the pace at which BCI technology is advancing relative to the pace of law, and given the complexity of the constitutional and philosophical problems outlined above, any serious framework for protecting individuals from neural data subpoenas will need to be built on several foundational principles simultaneously.
The first principle is that neural data must be classified as inherently sensitive in a category that supersedes ordinary personal data. Unlike conventional biometric or personal health data such as fingerprints or heart rate, which can only infer emotional states indirectly, neural data transcends biological identification altogether. It can reveal what individuals think, how they think, and even when they intend to act. This capacity demands a distinct legal classification, and the movement in that direction, from Chile’s constitutional neurorights to Colorado’s statutory definition to California’s CCPA amendment to the proposed federal MIND Act, represents genuine progress, but the gaps remain large.
The second principle is that the testimonial nature of neural data must be recognized by courts. If a neural log encodes cognitive and intentional states, it functions as a class of testimonial evidence, and its compelled production should be subject to Fifth Amendment protection at minimum equivalent to that extended to the contents of a private diary. The Carpenter decision’s logic of constitutional protection scaling with the intimacy and comprehensiveness of the data record supports this interpretation.
The third principle concerns forensic standards. Before any neural data is admitted in any legal proceeding, a robust and independently validated standard for neural evidence must be established: authentication requirements, chain-of-custody protocols, algorithmic transparency mandates requiring manufacturers to disclose the architecture and performance metrics of their interpretation layers, and mandatory uncertainty quantification that prevents neural evidence from being presented to juries with a false precision that the underlying science does not support.
The fourth principle is data minimization by design. Consumer BCIs should not passively accumulate episodic logs indefinitely unless the user affirmatively opts in to that function. The default architecture should generate only the data necessary for the device’s primary therapeutic or assistive purpose, and all other data should be processed locally and discarded within a defined retention window. California’s pending neural data legislation would require businesses to use neural data only for the purpose for which it was collected and to delete it when that purpose is accomplished. This is the regulatory direction that protects users from future legal exposure for data they never knowingly generated as a permanent archive.
The Deeper Question: What Is a Memory, Legally?
There is a philosophical provocation buried inside every policy discussion about neural data in court: it forces us to ask what memory actually is, not scientifically, but legally, and for the purposes of justice.
The legal system has always operated on an implicit model of memory as testimony, a subjective account offered by a person who was present and who is responsible, in some moral and evidentiary sense, for their recollection. The reliability of that recollection has been contested and weighed against corroborating evidence for as long as there have been trials. The adversarial system is, in part, a mechanism for surfacing the unreliability of human memory and allowing the fact-finder to calibrate accordingly.
A neural log appears to change this by bypassing testimony entirely. It seems to offer direct access to the experience itself, before the filter of narrative self-presentation. But as the neuroscience reviewed earlier makes clear, this appearance is illusory. The log does not record experience. It records the brain’s physical state during encoding, a physical state that is already shaped by attention, expectation, emotional arousal, and prior experience, and that represents only one layer of a multi-stage constructive process. The log is not less subjective than testimony. It is differently subjective, in ways that are harder to interrogate because they require technical expertise that most courts cannot easily access.
If a memory is a story your brain tells itself, a neural log is the rough manuscript of that story, full of gaps, encoding artifacts, and attentional biases, interpreted by an AI that applies its own classification logic to produce annotations that may or may not reflect the legal constructs the court cares about. It is neither the objective record it appears to be nor the meaningless noise that its critics might claim. It is something for which we do not yet have the right interpretive vocabulary, in law or in science.
That vocabulary is what we need to develop, urgently, before the subpoenas start arriving.
What Comes Next: The Near-Future of Neural Evidence
By 2026, the trajectory is clear enough to sketch. Over the next five to ten years, we will see the first test cases in which neural data from consumer BCIs is sought through legal process. The earliest cases are likely to involve civil rather than criminal proceedings, where evidentiary standards are lower, and to arise in jurisdictions like California or Colorado where neural data has at least been defined in statute. These cases will force courts to make foundational rulings on authentication, admissibility, and constitutional protection in the absence of settled doctrine.
The legal profession will respond with a specialization that does not yet have a name: practitioners with dual expertise in neuroscience and evidence law who can advise clients on the forensic implications of the devices they adopt and who can challenge or support neural evidence in litigation. Universities are already producing graduates who could fill this role, though no law school has yet formalized a neural forensics curriculum.
Technology companies will face mounting pressure to take clear positions on whether they will comply with law enforcement requests for neural data and on what terms. The model established by Apple’s stance on device encryption and by the resistance of several major platforms to broad surveillance requests suggests that at least some companies will adopt a posture of limiting disclosures as a product differentiator. For companies whose business model depends on selling access to behavioral and cognitive insights derived from neural data, the incentive structure runs in the opposite direction.
And somewhere in the near future, a person sitting in a courtroom will hear their own neural log played back to them, and the question of whether that data is a window into the truth or a mirror of the brain’s own unreliable subjectivity will be answered not by philosophers but by a jury instruction.
The law cannot wait for the science to be settled. It never could. What it can do is move with humility, transparency, and an honest reckoning with what the brain is and what it is not. Memory was never a recording. We are only now being forced to confront what that means.
References
- Arnold & Porter Kaye Scholer LLP. “Neural Data Privacy Regulation: What Laws Exist and What Is Anticipated?” Arnold & Porter Advisories, July 2025. arnoldporter.com
- California Legislature. Senate Bill 44 (Umberg). “Brain-Computer Interfaces: Neural Data.” Senate Judiciary Committee Analysis, April 2025. sjud.senate.ca.gov
- Center for Strategic and International Studies (CSIS). “When Thought Becomes Data: The MIND Act and the Coming Debate Over Neurotechnology.” CSIS Strategic Technologies Program, November 2025. csis.org
- Cooley LLP. “Unlocking Neural Privacy: The Legal and Ethical Frontiers of Neural Data.” Cooley Insights, March 2025. cooley.com
- Davis Wright Tremaine LLP. “U.S. Senators Propose MIND Act to Study and Recommend National Standards for Protecting Consumers’ Neural Data.” Privacy & Security Law Blog, October 2025. dwt.com
- Frontiers in Psychology. “False Memories in Forensic Psychology: Do Cognition and Brain Activity Tell the Same Story?” Volume 15, 2024. frontiersin.org
- Frontiers in Human Dynamics. “Neuralink’s Brain-Computer Interfaces: Medical Innovations and Ethical Challenges.” Volume 7, 2025. frontiersin.org
- Frontiers in Psychology. “Chilean Supreme Court Ruling on the Protection of Brain Activity: Neurorights, Personal Data Protection, and Neurodata.” 2024. frontiersin.org
- Hong Yang and Li Jiang. “Regulating Neural Data Processing in the Age of BCIs: Ethical Concerns and Legal Approaches.” SAGE Journals, 2025. journals.sagepub.com
- IAPP (International Association of Privacy Professionals). “Navigating the Legal and Ethical Landscape of Brain-Computer Interfaces: Insights from Colorado and Minnesota.” June 2024. iapp.org
- Journal of Law and the Biosciences. Murphy, E.R.D. and Rissman, J. “Evidence of Memory from Brain Data.” Volume 7, Issue 1, 2020. Oxford Academic. academic.oup.com
- Journal of Medical Internet Research. Spichak, S. “The Controversial Push for New Brain and Neurorights.” Volume 27, 2025. jmir.org
- Nature Neuroscience / PMC. “The Neuroscience of Memory: Implications for the Courtroom.” pmc.ncbi.nlm.nih.gov
- Neurorights Foundation. Report on Consumer Neurotechnology Device Companies’ Privacy Practices. April 2024. neurorightsfoundation.org
- OECD. Recommendation on Responsible Innovation in Neurotechnology. oecd.org
- Philosophical Transactions of the Royal Society B. “Neurorights in the Constitution: From Neurotechnology to Ethics and Politics.” December 2024. royalsocietypublishing.org
- PubMed / PMC. “Ethical Imperatives in the Commercialization of Brain-Computer Interfaces.” December 2025. pmc.ncbi.nlm.nih.gov
- UNESCO. Ethics of Neurotechnology Framework. Internal Expert Group, 2024-2025. unesco.org
- United States Supreme Court. Carpenter v. United States, 585 U.S. 296 (2018).
- Wiley / Applied Cognitive Psychology. Brewin, C.R. et al. “Major Concerns About the False Memory Implantation Paradigm Persist.” August 2025. onlinelibrary.wiley.com