IntoMindLearn

Chapter 4 · Middle school

Your brain data

A recording of your brain is information about you. Where does yours go, and who should be allowed to see it?

Where your brain data goes

In these labs, your brain data takes a short path: from the electrodes, to the chip in the IntoMind One, to the computer beside you, or in the Mind-Controlled Microcontroller to a small board.

It is never sent over the internet. Nothing is kept unless someone saves a file, with one exception: the custom AI head you teach in the Mind-Controlled Light Switch stays on the IntoMind One until it is removed or replaced.

The path From your neurons, through the IntoMind One's electrodes and chip, over Bluetooth to the computer beside you or a small board, and never the internet.

Try it

Where does it go?

On paper, draw the path your brain data takes in these labs. Then draw the path for an imaginary app that sends your recordings to a company's computers to “improve its service.” On both, mark every place where someone else could see your data.

Who should see it?

Try it

Yes, no, or only if

For each case, decide: yes, no, or only if something is true. Write your reason. Then the class votes, and argues for its answers.

Who wants to see brain dataYes, no or only ifWhy
A school that wants every student's alpha number, to see who is paying attention
A game company that wants to keep players' brain data to make better games
A doctor helping a patient
A parent

Talk about it

  1. What makes a choice real consent?

  2. Where does your brain data go in these labs, and where does it not go?

  3. Pick one case from “Who should see it?” and give your reason.

Chapter 4 · High school

Your brain data

A recording of your brain can reveal things you never chose to share. Where does yours go, what does the law say, and does the mind need rights of its own?

Where your brain data goes

In these labs, the path is short: the electrodes, the chip in the IntoMind One, and Bluetooth to the computer beside you, or in the Mind-Controlled Microcontroller to a small board. Nothing goes over the internet.

Nothing is kept unless someone saves a file, apart from a custom AI head, which stays on the IntoMind One until it is removed or replaced. That design, computing on the device and keeping only what someone chooses to keep, is itself a privacy decision.

The path From your neurons, through the IntoMind One's electrodes and chip, over Bluetooth to the computer beside you or a small board, and never the internet.

Try it

Where does it go?

Draw the path your brain data takes in these labs. Then draw the path for an imaginary app that sends recordings to a company's servers to “improve its service.” On both, mark every place someone else could see the data, and every place it could be kept.

Neural data and the law

Neural data is personal data, and some argue it is more personal than most: it can reveal things about health, attention and mood that a person never chose to share, and methods not yet invented may draw more out of a recording made today.

The law has begun to treat it that way. In 2021, Chile amended its constitution to protect brain activity and the information that comes from it. In the United States, Colorado and California added neural data to their privacy laws in 2024, and other states have followed.

Try it

Read a privacy policy

Read the privacy policy of a real consumer EEG product. Find each answer, and compare it with these labs.

The productThese labs
What it collects
Where the data goes
Who it is shared with
How long it is kept
How to delete it

Neurorights

Some neuroscientists and lawyers argue for neurorights: new human rights to mental privacy, to keep one's own mental identity, and to freedom of thought, in a world of devices that read the brain. Others argue that existing rights to privacy, freedom of thought and bodily integrity already cover all of this, if they are applied well.

Try it

A debate

Two sides: “The mind needs new rights of its own,” and “Existing rights are enough.” Each side prepares three arguments, and one answer to the other side's strongest point.

Our side's case
Argument 1
Argument 2
Argument 3
Their strongest point, and our answer

Talk about it

  1. A teacher offers extra credit for wearing the device. Is the choice still voluntary? Why?

  2. Why might brain data deserve more protection than other personal data?

  3. Give the strongest argument against creating new neurorights, then answer it.

Sources

UNESCO (2025). Recommendation on the Ethics of Neurotechnology.

Yuste, R., and others (2017). Four ethical priorities for neurotechnologies and AI. Nature.

Chapter 4 · College

Your brain data

What makes consent to wear an EEG device real, what can a model infer from brain data that nobody chose to share, and who decides what may be done with it?

What a model can infer

A model can infer from neural data things the person never disclosed: an age, a sex, signs of a condition, how attentive they were. An inference doesn't have to be accurate to do harm. A weak classifier's confident-looking score about one person can be recorded, shared and acted on, and the person has no way to contest a number about their brain.

EEG also identifies people. Patterns in a recording are individual enough to link it back to its owner from another recording of them, so removing a name doesn't make it anonymous.

Simulated Two groups' scores from a classifier with an AUC near 0.59, the Biological Sex Detector's on one window. The overlap is most of the picture, so one score says little about one person.

The law so far, and research ethics

The law has begun to treat neural data as sensitive. Chile amended its constitution in 2021 to protect brain activity and the information that comes from it. In the United States, Colorado and California added neural data to their privacy laws in 2024, and other states have followed. In the European Union, the GDPR gives special protection to health data and to biometric data used to identify a person, which covers much of what EEG can reveal.

Research with people's brain data, as opposed to teaching with it, needs an ethics board's review before it starts, consent written for the research, and a data management plan: what is collected, where it is stored, who can see it, how it is protected, and when it is deleted.

Neurorights

Some neuroscientists and lawyers argue for neurorights: new human rights to mental privacy, to one's own mental identity, and to freedom of thought, in a world of devices that read the brain. Others answer that existing rights to privacy, freedom of thought and bodily integrity already cover all of this, if they are applied well. UNESCO's Recommendation on the Ethics of Neurotechnology, adopted in 2025, is guidance for governments on all of this, not law.

Try it

A data plan

Write the data plan for a project of your own, such as your capstone, as an ethics board would want to read it.

Your data planYour group's answer
What we will record, and from whom
How we will ask for consent, and how someone withdraws
The least we need to keep, and why
Where it is stored, and who can see it
How it is protected
When it is deleted, and how we will show it was
What we will never infer from it

Problems

  1. A classifier for attention scores an AUC of 0.6. Why could deploying it in classrooms harm students, even though it is weak?

  2. Why is removing names not enough to make an EEG recording anonymous?

  3. A professor offers course credit for taking part in an EEG study. When is that acceptable?

  4. Your project only needs to know whether a custom AI head beats chance. Which data must you keep, and which can you avoid keeping?

  5. Give the strongest argument against creating new neurorights, then answer it.

Sources

Yuste, R., and others (2017). Four ethical priorities for neurotechnologies and AI. Nature.

Ienca, M., and Andorno, R. (2017). Towards new human rights in the age of neuroscience and neurotechnology. Life Sciences, Society and Policy.

Campisi, P., and La Rocca, D. (2014). Brain waves for automatic biometric-based user recognition. IEEE Transactions on Information Forensics and Security.

UNESCO (2025). Recommendation on the Ethics of Neurotechnology.

Chapter 4 · Graduate

Your brain data

What can be inferred from brain data and from what is derived from it, what do research ethics and the law require of a study that records it, and where do the rules run out?

What can be inferred

A recording carries more than its purpose. EEG identifies its owner well enough to authenticate them against another recording, as Marcel and Millán (2007) showed and Campisi and La Rocca (2014) review, so removing a name doesn't anonymize it. It carries states, such as drowsiness, and signs of some conditions. And it carries traits weakly: on studies they never saw, the IntoMind One's age and sex heads score an AUC of about 0.6 for sex and do no better than the mean age, which is weak for a decision about one person and still something nobody agreed to reveal.

What is derived from a recording carries some of the same. An embedding, the encoder's 76 numbers for every four seconds, is built to keep what describes the signal, so it can be as identifying as the signal. A custom AI head is 156 bytes: a name field, the encoder's identity, 76 one-byte weights, a bias, a scale and a hash. It holds no recording, but its weights are the direction in which one person's two states differ, and run on another recording of them, it says when they are in one.

Research EEG is not clinical EEG, and four dry channels can't be read for a diagnosis. A protocol says in advance what happens if a recording looks abnormal, as brain imaging research learned to do for its incidental findings (Illes and others, 2006).

The law so far

In the European Union, the General Data Protection Regulation gives special protection to data concerning health and to biometric data processed to identify a person, which covers much of what EEG can reveal. Chile amended its constitution in 2021 to protect brain activity and the information drawn from it, and its Supreme Court applied that protection in 2023, in a case about a consumer EEG headset (Cornejo-Plaza, Cippitani and Pasquino, 2024). In the United States, Colorado and California added neural data to their privacy laws in 2024, and other states have followed. UNESCO's Recommendation on the Ethics of Neurotechnology (2025) is guidance for governments, not law.

Neurorights and their critics

Ienca and Andorno (2017) proposed four new rights: to cognitive liberty, to mental privacy, to mental integrity and to psychological continuity. Yuste and others (2017) set out four priorities for neurotechnology and AI: privacy and consent, agency and identity, augmentation, and bias. Bublitz (2022) argues that new rights earn their place only with precise content that existing rights to privacy, to freedom of thought and to bodily integrity lack, and that much of the proposals' substance can be had by interpreting those well.

In the demos, nothing goes over the internet, and nothing is kept unless someone saves it: a recording with its checksums, a training file of embeddings and labels, a head, or a fractal's picture, which shows only an alpha frequency and a date. A head stays on the IntoMind One until it is removed or replaced.

Analysis

Analysis

A protocol

Write the protocol for a study of your own, such as your capstone, as a review board would want to read it, and draft its consent's key information.

ItemYour group's answer
Is it research, by the Common Rule's definition, and who reviews it?
The key information a participant reads first
Risks, including what could be inferred that nobody agreed to
How someone declines or stops without anyone in the class knowing
What is recorded, and what is derived: embeddings, heads, scores
What is kept, where, who sees it, and when it is deleted
What could be shared, in what form, and the consent that needs
What happens if a recording looks abnormal
What you will never infer from it

Open problems

  1. Is neural data special? Some argue it needs its own category, since it can reveal states and traits its owner never expressed (Cornejo-Plaza, Cippitani and Pasquino, 2024). Others answer that what matters is the inference, whatever data it comes from, and that a category for one kind of data invites rules that miss the rest (Bublitz, 2022).
  2. Consent for models. Encoders are trained on public datasets whose participants agreed to other studies, under the terms of their day. What that consent covers, now that the same data trains models that run on devices, is not settled.
  3. Mental privacy without the brain. Many of the inferences neurorights worry about can be drawn from typing, speech or movement. Whether a right tied to the brain protects anything distinct is open.

Problems

  1. A group plans to post its capstone's embeddings, 76 numbers for every four seconds, in a public repository, with names removed. What could go wrong, and what would you require first?

  2. Is a custom AI head personal data?

  3. Draft the key information for the Mind-Controlled Light Switch as a study, in no more than five sentences.

  4. Your capstone will test whether a head trained one day works the next, and the class wants to publish it. Who must approve what, and when?

  5. State the strongest form of Bublitz's argument, then say what a right to mental privacy would have to protect that data protection law doesn't.

Sources

National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research (1979). The Belmont Report: ethical principles and guidelines for the protection of human subjects of research.

Protection of Human Subjects, 45 CFR 46, as revised in 2018.

Regulation (EU) 2016/679, the General Data Protection Regulation.

Illes, J., and others (2006). Incidental findings in brain imaging research. Science.

Marcel, S., and Millán, J. del R. (2007). Person authentication using brainwaves (EEG) and maximum a posteriori model adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Campisi, P., and La Rocca, D. (2014). Brain waves for automatic biometric-based user recognition. IEEE Transactions on Information Forensics and Security.

Ienca, M., and Andorno, R. (2017). Towards new human rights in the age of neuroscience and neurotechnology. Life Sciences, Society and Policy.

Yuste, R., and others (2017). Four ethical priorities for neurotechnologies and AI. Nature.

Bublitz, J. C. (2022). Novel neurorights: from nonsense to substance. Neuroethics.

Cornejo-Plaza, M. I., Cippitani, R., and Pasquino, V. (2024). Chilean Supreme Court ruling on the protection of brain activity: neurorights, personal data protection, and neurodata. Frontiers in Psychology.

UNESCO (2025). Recommendation on the Ethics of Neurotechnology.