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Smart glasses producers and app providers acting as controllers should not rely on the wearer to meet their GDPR obligations, says the EDPB

Issue 7 · 15 October 2026 · Covers 7 to 14 October 2026 · About 9 min read
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1

Executive Summary

2

In Focus

Video surveillance and wearables EU Statement 13 October 2026

Smart glasses producers and app providers acting as controllers should not rely on the wearer to meet their GDPR obligations, says the EDPB

On 13 October 2026 the EDPB adopted a statement on smart glasses. The devices look like ordinary eyewear but carry cameras and microphones. In the EDPB's words, they allow "a near invisible or hidden collection" of personal data, and their possible use with facial or voice recognition poses a high risk in public spaces.

This is the EDPB's first statement on smart glasses. The EDPB describes it as preliminary, and it names no product or manufacturer.

The statement follows positions of national supervisory authorities covered in earlier issues: the Hamburg Commissioner's examination of the Ray-Ban Meta AI glasses, in issue 3, and the German DSK's endorsement of that examination, in issue 5.

The statement starts with the wearer. Personal use in a private context, such as personal translation, can fall within the household exemption in Article 2(2)(c) GDPR. The EDPB adds that the exemption "must, however, be narrowly construed". It would not apply where recordings are shared with an indefinite number of people on a public social media account, or where the glasses are used in official, professional, political or other non-personal activities. In those cases, in the EDPB's view, the wearer would be a controller or joint controller.

The second part of the statement concerns the companies behind the device. Even where the wearer is exempt, the EDPB says the GDPR still applies to the controllers or processors that provide the means for the processing, such as the manufacturer and the provider of a linked app or AI service.

Depending on who decides the purposes and means, these companies may be independent or joint controllers, for example when an AI feature analyses a camera image in which other people appear. Where they are controllers, the EDPB says, they "should not rely on the users' actions to meet their own GDPR obligations", including the duty to inform the people recorded.

On transparency, the EDPB says standard privacy notices do not seem sufficient to inform bystanders. In its view, controllers and producers should consider combining several signals in the design:

  1. A visual indicator, such as an LED.
  2. An audio cue.
  3. A notification to nearby smartphones.
  4. A design that makes the glasses recognisable.

In the EDPB's view, if the indicator, such as an LED, is covered so that people nearby can no longer see that recording is under way, it should not be possible to record, and smartphone notifications should not be the only method. It adds that these measures may not solve every transparency problem and do not replace the information the GDPR requires.

On legal basis, the EDPB says that valid consent from bystanders with no relationship to the producer or app provider would be difficult to obtain. It adds that "consent obtained after collection, for example following the recording, would not be valid".

According to the EDPB, relying on legitimate interests would require a careful case by case analysis with sufficient mitigating measures. In its view, this basis would be particularly difficult to demonstrate for further commercial processing beyond the service the wearer asked for, and for training AI models on data about bystanders, who would not expect it.

The statement also gives design recommendations:

  1. Limit continuous recording, live streaming and retention.
  2. Blur or otherwise obscure bystanders.
  3. Process data on the device where possible.
  4. Where glasses are designed mainly for real-time assistance, disable persistent storage by default unless the function needs it or the user turns it on.
  5. Restrict recording by location in sensitive settings.
  6. Add friction before footage is shared on social media.

Controllers should help people exercise their rights and keep meaningful control over their data. In the EDPB's view, a general or hypothetical safety concern alone does not justify a wearer recording others continuously or indiscriminately.

The EDPB also notes that the ePrivacy rules may apply to smart glasses, for example where information is stored or processed on the device or sent to a remote server by default. It calls on those concerned to pay particular attention to children and notes that use at work may raise employee monitoring concerns. It lists places such as medical facilities, schools and changing rooms where recording may be inappropriate or prohibited.

The EDPB says further guidance may be useful and that it will continue work on smart glasses and similar video devices.

The statement was published together with an expert report commissioned through the EDPB's Support Pool of Experts following a proposal from the CNIL. The EDPB notes that the report does not necessarily reflect its official position.

Why it matters

The Hamburg Commissioner's examination and the DSK focused mainly on the wearer. The EDPB statement also places responsibility on producers and providers of linked apps and AI features where they act as controllers, and reads the household exemption narrowly. A statement is not binding and the EDPB calls this one preliminary, but it shows how the supervisory authorities that make up the EDPB approach the question.

Practical impact

For producers and providers of linked apps or AI features: identify which processing of bystanders' data the company itself decides on. Check the device design against the EDPB's recommendations: no recording while the indicator is covered, storage off by default for real-time assistance devices, on-device processing where possible, and no reliance on users to inform the people recorded. Employers and organisations whose premises include sensitive areas should decide whether smart glasses are allowed at work and in those areas, and set this out in internal policies.

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Key Developments

Data Subject Rights EU Advocate General's opinion 8 October 2026

Financial intelligence units fall under the Law Enforcement Directive and may restrict a data subject's right of access only under clear rules, in the Advocate General's view

On 8 October 2026 Advocate General Laila Medina delivered her opinion in Rahapesu Andmebüroo (C-222/25), a reference from the Estonian Supreme Court. The opinion does not bind the Court of Justice, which will rule later.

A data subject asked Estonia's Financial Intelligence Unit whether information about him had been passed to or requested by credit institutions or authorities. He later also asked whether the unit had opened an investigation file on him. The unit refused both requests, citing the confidentiality of its data. It maintained its refusal after the Estonian data protection authority ordered it, by an interim decision, to provide the information.

The Tallinn administrative court then held that the Estonian rule on restricting access did not specify its grounds or duration, and ordered the unit to decide again. The court of appeal found the rule not clear and precise and dismissed the unit's appeal. The unit then appealed to the Supreme Court.

In the Advocate General's view, financial intelligence units working to prevent money laundering and terrorist financing are competent authorities for the purposes of the Law Enforcement Directive, whatever their organisational structure. The Directive uses that term for authorities that act to prevent, investigate, detect or prosecute criminal offences. Their processing for that work therefore falls under the Law Enforcement Directive (Directive 2016/680), not the GDPR.

She considers that a total restriction of access may be compatible with the units' duty of strict confidentiality. Any restriction must, however, be proportionate, limited in scope and duration, and laid down in clear and precise legal rules. In her view, a total restriction lasting until the data are destroyed is precluded where national law does not lay down such rules. She observes that the Estonian framework does not appear to set clear conditions for restricting access, and leaves that assessment to the national court.

Where access is restricted, she considers that the person's rights must be protected indirectly through the supervisory authority, which must be able to hold confidential discussions with the unit. In her view, a unit may refuse access without giving reasons where disclosure would endanger the public interest, but it must then tell the person that they can turn to the supervisory authority. Indirect access means that the person does not see the data themselves, but the supervisory authority checks on their behalf what data the unit holds and whether it processes them lawfully. Under Article 17 of the Law Enforcement Directive, the authority informs the person at least that all necessary checks have taken place.

Why it mattersIf the Court follows the opinion, access requests concerning financial intelligence units' anti-money laundering work would be decided under the Law Enforcement Directive's narrower rules. The supervisory authority would be the route for checking what the unit holds. A national rule that restricts access without clear conditions would be open to challenge. This remains the Advocate General's interpretation pending the Court's judgment.
Practical impactFor financial intelligence units and the authorities that supervise them: check whether the national rules on restricting access state their scope, duration and conditions clearly. Refusal letters should tell the person how to use indirect access through the supervisory authority.
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AI transparency EU Provider's implementation; AI Act Article 50 5 October 2026

OpenAI to add an invisible watermark to ChatGPT and Codex text in the EU in response to AI Act Article 50

Since 2 August 2026, Article 50(2) of the AI Act has required providers of AI systems that generate synthetic audio, image, video or text to ensure that the outputs are "marked in a machine-readable format and detectable as artificially generated or manipulated".

Under Regulation (EU) 2026/1744, the Digital Omnibus on AI, providers whose systems were placed on the market before 2 August 2026 have until 2 December 2026 to take the necessary steps to comply with Article 50(2). On 5 October 2026 OpenAI described how it intends to meet the duty for text.

The Code of Practice on Transparency of AI-generated Content was published on 10 June 2026. On 8 July 2026 the Commission concluded that it adequately covers the obligations in Article 50(2), (4) and (5). The next day the AI Board adopted its own adequacy assessment. Signing the code is voluntary, and the Commission notes that adherence is not conclusive evidence of compliance.

OpenAI says that over the coming weeks it will add an invisible "watermark", which it calls textGrain, to ChatGPT and Codex text output in the EU. The watermark is a statistical trace: the model chooses its words so that the text reads the same to a person, but a detection tool can recognise that it was produced by an OpenAI model. This is OpenAI's response to the AI Act requirement that AI-generated text be detectable.

The watermark will apply across all plans, but only to output OpenAI treats as eligible. The post does not say which output that is. In the API the watermark is off by default; API customers in any region can opt in for selected models.

The detector is not public. OpenAI says that, in line with the code of practice, approved researchers and expert organisations may apply for access case by case. According to OpenAI, the detector reports whether text carries an OpenAI watermark, without identifying users or revealing prompts.

OpenAI also publishes figures on the watermark's limits. Its tests used a target false positive rate of 1%: about 1 in every 100 texts without the watermark would be wrongly flagged. The table shows how often the detector found the watermark in 200-token and 400-token passages:

OpenAI testDetection
Psychology questions, 200 tokensabout 80%
Psychology questions, 400 tokensabout 95%
Editing test, 400 tokens, text unchangedabout 92%
10% of words replaced with synonyms66%
25% of words replaced with synonyms17%

Detection was substantially lower for mathematics. OpenAI says that the absence of a detected watermark does not prove a person wrote the text.

The post does not cite Article 50 by number; it refers to the AI Act's requirement to make generated text identifiable.

Why it mattersArticle 50(2) asks for marking that is effective, interoperable, robust and reliable as far as technically feasible. OpenAI's figures give a public indication of how one text watermark performs against that standard once the text is edited. They describe one provider's implementation, not what the law requires of every provider.
Practical impactFor providers of generative systems placed on the market before 2 August 2026: confirm that machine-readable marking is in place by 2 December 2026. Organisations that use watermark checks to establish where a text came from should not treat a missing watermark as proof that a person wrote it.
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Video surveillance Spain / Italy Preventive warnings, announced 6 October 2026; Decision of 23 September 2026 6 October 2026

The AEPD sets conditions for AI analytics on public cameras, and the Garante fines a municipality that covered a private home in a camera's view only after an investigation began

Spain, the AEPD's preventive warnings

On 6 October 2026 the Spanish AEPD announced preventive warnings to two town councils planning video surveillance with automated image analysis. One project included facial detection or recognition. The other included detection of people and vehicles, metadata generation and searches by appearance.

The warnings concern processing that has not yet started and do not find an infringement. They rest on Article 58(2)(a) GDPR and, for processing by the local police, on Spain's Organic Law 7/2021, which transposes the Law Enforcement Directive. In the warnings, the AEPD sets the following conditions:

  1. Each function must be shown to be necessary and proportionate for its purpose. Technical availability alone does not justify its use.
  2. For local police processing, each additional automated analysis capability must be justified separately, not just the cameras.

The AEPD also requires that the data each function generates, how long they are kept and who may access them be defined. This includes derived data such as biometric templates and match results.

The warnings also state:

  1. Where a function processes biometric data to identify a person uniquely, Articles 4(14) and 9 GDPR apply.
  2. Where local police processing falls within Organic Law 7/2021, Article 13 of that law applies.
  3. Where the processing is likely to be high risk, a data protection impact assessment must be carried out before launch.
  4. In the warning on the facial recognition project, the AEPD adds that those functions must stay disabled unless their necessity and proportionality have first been justified.

Italy, the Garante's fine

The Italian Garante, by decision no. 636 of 23 September 2026, published on 8 October 2026, fined the Comune di Arvier 4 000 euro. A resident had complained that a municipal camera filmed the front, balconies and windows of her home.

The municipality added digital masking of the private home, which automatically covers that part of the camera image so that it does not appear in the footage, only after the Garante opened its investigation into the complaint. The Garante found that masking was technically possible and should have been applied from the system's first configuration. Its absence breached data minimisation and data protection by design and by default, which requires safeguards to be built into a system from the start and into its default settings.

The Garante also found that the system served several administrative purposes without a valid legal basis, that the information given to the public was inadequate, and that a 2018 impact assessment did not meet Article 35. It found infringements of Articles 5(1)(a) and (c), 6(1)(c) and (e), 6(2) and (3), 12(1), 13, 25 and 35 GDPR and Article 2-ter of the Italian Privacy Code.

The Garante ordered the municipality to survey all its cameras and identify a valid legal basis for each purpose, ensure that no camera's field of view includes private homes, carry out a complete impact assessment and update its notices. The municipality must report on these measures within 30 days of notification.

Why it mattersWithin a fortnight, both authorities have treated the design stage as the point where compliance is decided. For the AEPD, in the case of police use, the cameras and each analytic function are assessed separately. For the Garante, a safeguard added once the authority is investigating does not cure the original design. The AEPD's warnings are preventive and find no infringement; the Garante's decision can be appealed.
Practical impactBefore procuring or upgrading public cameras: list every analytic function the system offers, justify each one or keep it off, set retention for derived data such as templates and match results, and complete the impact assessment before the system goes live. Check existing cameras for views of private property now, not after a complaint.
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4

Enforcement Watch

Adtech and real-time bidding Norway Decision, may be appealed 2 October 2026

Datatilsynet fines Xandr NOK 92 million and holds that a joint controller cannot rely on another party's consent without checking it

By a decision dated 2 October 2026 and announced on 12 October, the Norwegian Datatilsynet fined Xandr Inc. NOK 92 million, about 8.5 million euro according to the decision. Xandr, formerly called AppNexus, is an advertising technology company now part of Microsoft. It is the highest fine the authority has imposed.

The case began with a 2020 complaint by the Norwegian Consumer Council, which also concerned Grindr and other adtech companies. Datatilsynet fined Grindr NOK 65 million in 2021. The Privacy Appeals Board, the Oslo District Court and the Borgarting Court of Appeal upheld that decision.

In the period investigated, July 2018 to April 2020, Xandr took part in real-time bidding on the Grindr app on both the selling and the buying side. Datatilsynet found that Xandr processed at least the fact that a person was using Grindr, their advertising ID and their IP address. It also found that the fact of using Grindr is data concerning sexual orientation under Article 9(1) GDPR.

Datatilsynet held Xandr to be a joint controller with Grindr. It also held that explicit consent under Article 9(2)(a) was the relevant exception. Xandr had not obtained consent itself but relied on Grindr's, and Datatilsynet found those consents invalid under Articles 4(11) and 7. In the decision's words, each joint controller must independently verify that consent is valid and covers its own processing: "Compliance can never be outsourced."

The decision finds that Xandr infringed Articles 6(1) and 9(1) GDPR, at least negligently. The fine was calculated on Xandr's turnover alone, not on the Microsoft group's, because Xandr did not yet belong to Microsoft during the period investigated. Xandr may appeal within three weeks of receiving the decision. If Datatilsynet maintains the decision, the appeal goes to the Norwegian Privacy Appeals Board.

Why it mattersThe decision places the duty to verify consent on an intermediary in the bidding chain, not only on the app that collected it. It also treats the identity of the app in a bid request as special category data where the app itself reveals sexual orientation.
Practical impactFor adtech intermediaries and the publishers they work with: document how each party checks that the consent it relies on is valid for its own processing. Identify which bid request fields, such as the app name, may reveal special category data.
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Biometrics Croatia Decision, announced 2 October 2026; finality not stated 2 October 2026

AZOP fines a gambling operator 2 590 000 euro and holds that consent cannot make excessive fingerprint collection lawful

The Croatian authority AZOP fined an unnamed operator of games of chance 2 590 000 euro after a supervisory procedure opened on its own initiative. Players identified themselves with an identity card and could also choose to use an RFID chip or their fingerprints.

The operator said it took two fingerprints; AZOP found it collected four, two from each hand. Biometric consent was recorded for 34 933 players.

AZOP found that the operator collected more data than was necessary for its purpose. In its words, "such processing cannot become lawful merely because the data subject gave consent".

AZOP also found the consent itself invalid because it bundled several purposes: identity checks, enforcing the ban on minors, statistics, profiling and personalisation. Players had no separate choice for each purpose.

A second consent, for the player's photograph, also combined several purposes. Players could not tell whether the photograph was used only to verify identity or for other purposes as well. The information given to players was incomplete, inaccurate and contradictory.

AZOP cites Articles 5(1)(a) and (c), 6(1), 9(1) with 9(2)(a), 7 with 4(11), 12(1) and 13 GDPR. Its announcement does not state the date of the decision or whether it is final.

AZOP announced the fine on 2 October 2026, before this issue's coverage period; it was not carried in issue 6.

Why it mattersIn AZOP's view, necessity has to be shown whether or not consent is given. A person's agreement does not cure collecting more biometric data than the purpose requires. Bundling several purposes into one consent was a separate reason the consent failed.
Practical impactFor operators of biometric access or identification systems: document why biometric data are needed at all and why each data point collected, such as each additional fingerprint, is needed. Where consent is relied on, offer a separate choice for each purpose.
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