{"id":9704,"date":"2026-07-10T22:47:10","date_gmt":"2026-07-10T20:47:10","guid":{"rendered":"https:\/\/www.kubicek.ai\/?p=9704"},"modified":"2026-07-28T10:01:05","modified_gmt":"2026-07-28T08:01:05","slug":"is-plaud-safe","status":"publish","type":"post","link":"https:\/\/www.kubicek.ai\/en\/is-plaud-safe\/","title":{"rendered":"Is Plaud Safe?"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">The Plaud AI voice recorder, a small plastic rectangle the size of a credit card, is currently being talked about more than some government ministries. Cleaners found one at the end of January in the meeting room of the Czech government, and instead of anyone handing it over to the security services it ended up in a drawer in the secretariat of the head of the Office of the Government, where nobody checked it for months. After a story on Seznam Zpr\u00e1vy [1] (picked up by Novinky.cz [2] and other outlets), the minister for sport Boris \u0160\u0165astn\u00fd claimed it, saying it was his personal note-taking aid which he had bought in a shop and lost. The internet promptly nicknamed the affair &#8220;Plaudgate&#8221;. Let us look at it non-politically, practically, and from the point of view of someone who has worked with AI tools for ten years.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The whole story is both funny and unsettling. But above all it is a good excuse to answer, without prejudice, a question a lot of people do not ask until they have bought a device like this: <strong>is Plaud safe?<\/strong> And what does it even mean to own an AI device that listens to what you say?<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>What it actually is<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Plaud is a small voice recorder with artificial intelligence. It comes in several versions; a popular one attaches to the back of your phone with a magnetic case, you press the button and it simply records. A meeting, a phone call, a lecture, anything. The difference from a classic 1990s dictaphone lies in what happens to the recording afterwards: the app uses artificial intelligence to transcribe it into text automatically and produces a summary, a task list or a tidy report from it. For people who spend hours in meetings and then more hours writing up the minutes, that is a tempting proposition, and the device really is selling in the millions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Why people love it so much<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">I have been using Plaud myself since around the spring of 2025 and as an aid for transcribing meetings, lectures or quick notes on the move it is excellent. It will record all day on a single charge, it saves a great deal of the time I would otherwise spend writing up minutes by hand, and the summaries the AI produces are usually usable straight away. That is precisely why the device has spread so widely among people who have a lot of meetings and little time for paperwork.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Where what you record gets sent<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Here we have to separate two things. The audio recording itself is first stored on the device and then on the phone, so that stays local and goes nowhere. But as soon as you want the recording transcribed or summarised, <strong>it has to be sent to a server, to the cloud<\/strong>, where AI-based tools do the job for you. There is no other way: ordinary phones, and certainly not a tiny chip in a recorder, do not yet have the power to handle a transcription like that on their own.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">And that journey &#8220;outwards&#8221; is the heart of the whole debate. According to the manufacturer&#8217;s own statements the recording is deleted from the server after processing, and the companies that do the transcription (large AI companies such as OpenAI, Google or Microsoft) are contractually forbidden from using the data for anything else. The question, though, is who the data goes to and where it travels in the meantime. Which brings us to why people worry about Plaud (and about some other AI recording devices too).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Your voice around the world<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The company behind Plaud has a fairly tangled structure. The app development and <strong>part of the management sit in San Francisco in the USA,<\/strong> but the hardware is <strong>made in Shenzhen in China<\/strong> and the founder of the company is <strong>a Chinese citizen<\/strong>. On top of that, according to the terms and conditions, European customers do not enter into a contract with the American branch but with a company <strong>registered in Hong Kong.<\/strong> In itself that would not have to matter (plenty of electronics is made in China), except that in this case it goes hand in hand with data being sent for processing through a structure that is not entirely transparent.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In practice that means that when you use Plaud in Prague, your voice may <strong>end up on a server in the USA,<\/strong> pass through a contractual structure running <strong>via Hong Kong,<\/strong> and two different sets of rules hang over the whole chain:<strong> American law,<\/strong> which under certain circumstances allows the authorities there <strong>to request access to data held by American companies,<\/strong> and <strong>Chinese data security law, <\/strong>which gives similarly broad powers to<strong> Chinese authorities over companies with ties to China.<\/strong> Neither of those automatically means somebody is listening to you, but it does mean your recording passes through several jurisdictions at once, which is exactly what security experts and corporate IT departments abroad look at when they judge whether to let a tool into a sensitive environment.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Last autumn the Taiwanese authorities noticed as well, raising security objections because of the founder&#8217;s ties to China, and the company responded only with a public statement. Similarly, a number of European companies and hospitals prefer not to use Plaud in more sensitive settings. Not because they have evidence of data misuse, but because <strong>the risk simply cannot be fully ruled out or verified.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>The second risk: hallucinations<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Where the data goes is only half the story, though. The second risk has nothing to do with China or the cloud. It is a technical matter: how accurate the transcript actually is. Plaud does not have a professional studio microphone of the kind journalists, reporters, podcasters, court stenographers and professional transcribers use. It is a small plastic tile that has to cope with the echo in the room, with people talking over each other, with throat-clearing, background noise, speech impediments, car horns outside the window, coughing, or someone sitting further from the microphone. When the recording cannot cope with all that, the result is not merely an unintelligible passage in the audio.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The transcription is not done by a human but by a<strong> generative AI model, <\/strong>that is, a program whose task is to produce fluent, meaningful text, not to admit that it did not understand something. When it is not sure what was said, it tends to &#8220;fill in the blank&#8221;, in other words it <a href=\"https:\/\/www.kubicek.ai\/en\/lexicon\/hallucination\/\" data-type=\"lexicon\" data-id=\"9591\">hallucinates<\/a>. It needs to supply a word or a whole sentence so that the text sounds smooth and logical, even when that is not exactly what was actually said. The result then looks credible and reads well, but for important details such as names, numbers or the precise wording of who said what, you cannot rely on it blindly. Anyone working with Plaud should always compare the transcript of genuinely key passages against the original recording and their own memory or notes (which, of course, hardly anyone takes any more, because they rely on the AI), rather than treating it as a verbatim record.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That this is not hypothetical scaremongering was shown by an Associated Press investigation [3] into American healthcare. OpenAI&#8217;s Whisper transcription model, used by tens of thousands of doctors and more than forty healthcare systems in the USA to transcribe conversations with patients, repeatedly &#8220;invented&#8221; whole passages, according to both a scientific study [4] from Cornell University and the reporters. In one transcript it made up a non-existent drug called &#8220;hyperactivated antibiotics&#8221;; elsewhere it inserted racial comments or violent descriptions into a neutral conversation without any warning at all. What is more, the company providing the service deleted the original audio recordings immediately after processing, supposedly for security reasons, so the doctors had no way of checking afterwards what the patient really said and what the AI had made up.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Regulators are therefore beginning to tighten the rules: last year the Canadian province of Ontario had twenty approved AI tools for transcribing medical visits reviewed [5] and in all twenty, testing turned up hallucinations or missing information, so the auditor recommended not letting them into full live operation for now. The direction of travel is that sooner or later similar rules will arrive elsewhere too, including situations outside healthcare where the accuracy of the record matters just as much. In government offices, for example. Or in a cabinet room.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Even OpenAI, in its terms of use for Whisper, explicitly warns [6] against deploying it in situations where an error in the transcript could influence an important decision, which is exactly the kind of environment hospitals deployed it in anyway. Plaud uses the same families of models for transcription, so the risk of the text being invented is in principle the same and demonstrated in practice.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">I have run into problems many times with what is called speaker diarisation, assigning passages to the right person. In the paid versions Plaud performs diarisation (separating &#8220;speaker A&#8221; from &#8220;speaker B&#8221;), and if the user has automatic speaker labelling across recordings switched on, the system tries to match the anonymous &#8220;speaker A\/B&#8221; to a specific person it has been given a name for earlier. Typically it does this using a voice print compared through similarity search rather than a biometric database in the traditional sense. It then often attributes a sentence or a task to an entirely different person.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>So: is it safe, or not?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The answer depends purely on what you use it for. For a student recording a lecture, or a salesperson who wants a record of calls with clients and has consent to record (or does not care about the rules or the GDPR), Plaud is a reasonable compromise between convenience and risk. The risk exists, but it is comparable to the one we routinely accept with dozens of other cloud apps on our phones. For a lawyer handling confidential cases, a doctor working with sensitive patient data, or anyone moving in the world of public administration and classified information, the situation is different. There the question is whether you are willing to let the conversation physically leave the room and pass through foreign infrastructure over which you have no control at all.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The simplest practical rule is this: <strong>the more sensitive the content of the conversation, the further away from it any device that sends audio out of the room should stay. <\/strong>Whether it is called Plaud or something else.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">And the second rule applies even to people who never handle sensitive negotiations: treat the transcript as an aid, not as a verbatim record. For a quick overview of what was discussed Plaud is superb, but whenever a particular sentence or figure in the transcript matters, it pays to play the original recording and check that what the AI wrote really was said.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Plaud deserves neither the label of a spying device nor blind trust. And it is worth realising that smart little boxes, glasses, pins and pendants with built-in artificial intelligence will be multiplying around us fast, whether we like it or not, and sooner or later they will be as ordinary a pocket item as the phone is today. That is exactly why it does not pay to wait for the next &#8220;Plaudgate&#8221;; it is better to understand right now how such devices work, where they send their data and when their output cannot be relied on. Not so that we fear them, but so that we know how to use them sensibly.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Sources<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">[1] CIROKOV\u00c1, Kristina and Luk\u00e1\u0161 VAL\u00c1\u0160EK. V jednac\u00edm s\u00e1le vl\u00e1dy na\u0161li chytr\u00e9 nahr\u00e1vac\u00ed za\u0159\u00edzen\u00ed. T\u00fddny le\u017eelo v \u0161upl\u00edku. Seznam Zpr\u00e1vy [online]. 10 July 2026 [cit. 2026-07-10]. Available at: https:\/\/www.seznamzpravy.cz\/clanek\/domaci-kauzy-tajemny-nalez-na-vlade-nahravaci-zarizeni-nenahlasili-schovali-ho-do-supliku-309795 <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">[2] HORV\u00c1TH, Ivo. V jednac\u00edm s\u00e1le vl\u00e1dy na\u0161li nahr\u00e1vac\u00ed za\u0159\u00edzen\u00ed. Policii to nikdo nenahl\u00e1sil. Novinky.cz [online]. 10 July 2026 [cit. 2026-07-10]. Available at: https:\/\/www.novinky.cz\/clanek\/domaci-v-jednacim-sale-vlady-nasli-nahravaci-zarizeni-policii-to-nikdo-nenahlasil-40587469<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">[3] BURKE, Garance and Hilke SCHELLMANN. Researchers say an AI-powered transcription tool used in hospitals invents things no one ever said. Fortune [online]. 26 October 2024 [cit. 2026-07-10]. Available at: https:\/\/fortune.com\/2024\/10\/26\/openai-transcription-tool-whisper-hallucination-rate-ai-tools-hospitals-patients-doctors\/<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">[4] KOENECKE, Allison, Anna Seo Gyeong CHOI, Katelyn X. MEI, Hilke SCHELLMANN and Mona SLOANE. Careless Whisper: Speech-to-Text <a href=\"https:\/\/www.kubicek.ai\/en\/lexicon\/hallucination\/\" class=\"lex-link\">Hallucination<\/a> Harms. In: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT &#8217;24). Rio de Janeiro, 3\u20136 June 2024. New York: ACM, 2024, pp. 1672\u20131681. DOI: 10.1145\/3630106.3658996<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">[5] OFFICE OF THE AUDITOR GENERAL OF ONTARIO. Use of Artificial Intelligence in the Ontario Government. Special Report [online]. 12 May 2026 [cit. 2026-07-10]. Available at: https:\/\/www.auditor.on.ca\/en\/content\/specialreports\/specialreports\/en26\/2026_AI_EN.pdf<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">[6] OPENAI. Whisper \u2013 Model Card. GitHub [online]. [cit. 2026-07-10]. Available at: https:\/\/github.com\/openai\/whisper\/blob\/main\/model-card.md<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Illustration:<\/strong> ChatGPT (AI)<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Plaud AI voice recorder, a small plastic rectangle the size of a credit card, is currently being talked about more than some government ministries. Cleaners found one at the end of January in the meeting room of the Czech government, and instead of anyone handing it over to the security services it ended up [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":9040,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","_seopress_robots_follow":"","_seopress_robots_imageindex":"","_seopress_robots_snippet":"","_seopress_robots_primary_cat":"","_seopress_robots_breadcrumbs":"","_seopress_robots_freeze_modified_date":"","_seopress_robots_custom_modified_date":"","_seopress_robots_canonical":"","_seopress_social_fb_title":"","_seopress_social_fb_desc":"","_seopress_social_fb_img":"","_seopress_social_fb_img_attachment_id":0,"_seopress_social_fb_img_width":0,"_seopress_social_fb_img_height":0,"_seopress_social_twitter_title":"","_seopress_social_twitter_desc":"","_seopress_social_twitter_img":"","_seopress_social_twitter_img_attachment_id":0,"_seopress_social_twitter_img_width":0,"_seopress_social_twitter_img_height":0,"_seopress_redirections_value":"","_seopress_redirections_enabled":"","_seopress_redirections_enabled_regex":"","_seopress_redirections_logged_status":"","_seopress_redirections_param":"","_seopress_redirections_type":0,"_seopress_analysis_target_kw":"","_seopress_news_disabled":"","_seopress_video_disabled":"","_seopress_video":[],"_seopress_pro_schemas_manual":[],"_seopress_pro_rich_snippets_disable_all":"","_seopress_pro_rich_snippets_disable":[],"_seopress_pro_schemas":[],"footnotes":""},"categories":[10],"tags":[],"cat_tool":[],"class_list":["post-9704","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.kubicek.ai\/en\/wp-json\/wp\/v2\/posts\/9704","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kubicek.ai\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kubicek.ai\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kubicek.ai\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kubicek.ai\/en\/wp-json\/wp\/v2\/comments?post=9704"}],"version-history":[{"count":3,"href":"https:\/\/www.kubicek.ai\/en\/wp-json\/wp\/v2\/posts\/9704\/revisions"}],"predecessor-version":[{"id":9834,"href":"https:\/\/www.kubicek.ai\/en\/wp-json\/wp\/v2\/posts\/9704\/revisions\/9834"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kubicek.ai\/en\/wp-json\/wp\/v2\/media\/9040"}],"wp:attachment":[{"href":"https:\/\/www.kubicek.ai\/en\/wp-json\/wp\/v2\/media?parent=9704"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kubicek.ai\/en\/wp-json\/wp\/v2\/categories?post=9704"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kubicek.ai\/en\/wp-json\/wp\/v2\/tags?post=9704"},{"taxonomy":"cat_tool","embeddable":true,"href":"https:\/\/www.kubicek.ai\/en\/wp-json\/wp\/v2\/cat_tool?post=9704"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}