#EU#Poland#Surveillance#Privacy: "The case Pietrzak and Bychawska-Siniarska and Others v. Poland (applications nos. 72038/17 and 25237/18) concerned a complaint by five Polish nationals about Polish legislation authorising a secret-surveillance regime covering both operational control and the retention of telecommunications, postal and digital communications data (“communications data”) for possible future use by the relevant national authorities. In particular, they alleged that there was no remedy available under domestic law allowing persons who believed that they had been subjected to secret surveillance to complain about that fact and to have its lawfulness reviewed.
In today’s Chamber judgment in this case the European Court of Human Rights held, unanimously, that there had been three violations of Article 8 (right to respect for private and family life and correspondence) of the European Convention on Human Rights in respect of the complaints concerning the operational-control regime, the retention of communications data for potential use by the relevant national authorities, and the secret-surveillance regime under the Anti-Terrorism Act.
Given the secret nature and wide scope of the measures provided for by the Polish legislation and the lack of effective review by which persons who believed that they had been subjected to surveillance could challenge this alleged surveillance, the Court found it appropriate to examine the legislation at issue in abstracto. It considered that the applicants could claim to be the victims of a violation of the Convention, and that the mere existence of the relevant legislation constituted in
itself an interference with their Article 8 rights.
The Court then held that all the shortcomings identified by it in the operational-control regime led to a conclusion that the national legislation did not provide sufficient safeguards against excessive recourse to surveillance..."
#AI#GenerativeAI#AITraining#DataProtection#Privacy: "- Merely relying on the disclosure of statistical accuracy of the GenAI model is insufficient, since it could lead to an “Accuracy Paradox”. It refers to the unintended consequences of solely relying on the disclosure of a model’s statistical accuracy, which can lead to a misleading sense of reliability among users. As accuracy metrics improve, users may overly trust the AI outputs without sufficient verification, increasing the risk of accepting erroneous information.
Increasing the accuracy of inputs, models, and outputs often comes with the cost of privacy, especially in GenAI context. This involves not only technical identifiability of the individuals involved, but also societal risks such as more accurate and precise targeting for commercial purposes, social sorting, and group privacy implications.
Overreliance on developers’ and deployers’ accuracy legal compliance is not pragmatic and is overoptimistic, which could ultimately become a burden for users with the tendency of using dark pattern. In this context, GenAI developers and deployers could use such manipulative design to shift the responsibility for data accuracy onto users.
We argue that content moderation as a tool to mitigate inaccuracy and untrustworthiness. As a critical role in ensuring the accuracy, reliability, and trustworthiness of GenAI, content moderation could filter flawed or harmful content, which involves refining detection methods to distinguish and exclude incorrect or misleading information from training data and model outputs.
Accuracy of training data cannot directly translate to the accuracy of output, especially in the context of hallucination. Even though most training data is reliable and trustworthy, the essential issue remains that the recombination of trustworthy data into new answers in a new context may lead to untrustworthiness..."
Safeguard the digital sovereignty of your writing.
When using cloud storage, do not rely on companies based in countries you do not trust or know the laws of. These laws might obligate them to break the privacy of your data.
Make a conscious and informed decision on how to handle your data. You put your heart and soul into your writing, so please don't just click accept. 💜
Users have loved the design of the sidebar in Midori and have requested the same in AstianGO, a major improvement will be coming soon to our search engine.
Young people are waking up every day to media about war, genocides, dead children. They are unsure of being able to make a living, scared by debt, violence, addiction, homelessness. They are unsure if the burning planet will even support their lives. They are struggling for secure basic housing after having their lives upended by a pandemic...
@quinn Most every psychology study I’ve read has rightly pointed out that #socialmedia and the peer pressure it’s created to be perfect has fueled massive #depression and #suicidal ideation.
So we can make fun of the Times, sure, but the issue of #computers in our teens’ pockets and immediate access to the #internet isn’t something to take lightly.
For our #privacy OR our kids’ minds and wellbeing.
Created this after reading conversation in comments below some tech article somewhere. Someone mentioned "surfing the #internet sewer" and I really liked that phrase.
At our recent AC meeting in Hiroshima, Japan 🇯🇵, Chunhui Mo (Huawei) spoke on "Use case for Web API accessing LLMs data"
Chunhui Mo explored what it would take to expose Large Language Models (LLMs) which are distributed across many devices and platforms, to WebApps through a Web API and the advantages it could bring in terms of #privacy, security and performance.
🎂 NGI TALER's amazing partner, @glsbank is turning 50 and they celebrate half a century of socio-ecological #banking on the 1st and 2nd of June at #Bohum!
💡On Sunday at 12:00 CEST, don't miss the workshop organised by @leoo under the title "Wer weiß, was du kaufst? Datenflut beim Bezahlen" presenting the unique benefits of @Taler for #privacy preserving digital payments based on #libresoftware !
Datensparsames Android mit der Android Debug Bridge. Teil 3: Weitere Geräte und Plattformen
Die an einem Samsung Stock-ROM beschriebenen Methoden aus den ersten beiden Teilen werden auf Google Pixel und Xiaomi Smartphones, Android TV und einen Tolino Ebook-Reader angewandt, teils mit mehr, teils mit weniger Erfolg.
#Wise customers are now expected to consent to retention and disclosure to partners of #biometric facial information for up to a year simply to continue using their accounts, and even when not required by local financial regulations.
Today my wife could not send messages because Signal has implemented captchas, and the captcha failed. Nothing would send without passing the captcha. The message was being sent to another Signal user who she's messaged before and is in her contacts. It was urgent, and she had to send via SMS to get the message through.
The "feature" and "safety" creep has turned Signal into something that doesn't do its only job. They would sacrifice function for the sake of treating us like spammers. You'd also think the years of metadata they have would be enough to get us on the "not spam" list.
We were already using other apps as our primary messengers, but this is really the final nail in the coffin.
"Our privacy laws are due for reform. But Australia’s privacy commissioner should also enforce an existing rule: with very limited exceptions, businesses must not collect information about you from third parties."
"...[Sara] says after her bag was searched she was... banned from all stores using the #Technology.
"I was just crying and crying the entire journey home… 'Oh, will my life be the same? I'm going to be looked at as a shoplifter when I've never stolen'.
"#Facewatch later wrote to Sara and acknowledged it had made an error..."
#UK#Privacy#Biometrics#FacialRecognition: "Silkie Carlo, director of Big Brother Watch, has filmed the police on numerous facial-recognition deployments. She was there the night Shaun Thompson was picked up by police.
"My experience, observing live facial recognition for many years, [is that] most members of the public don't really know what live facial recognition is," she says.
She says that anyone's face who is scanned is effectively part of a digital police line-up.
"If they trigger a match alert, then the police will come in, possibly detain them and question them and ask them to prove their innocence."
The use of facial recognition by the police is ramping up.
Between 2020 and 2022 the Metropolitan Police used live facial recognition nine times. The following year the figure was 23.
Already in 2024 it has been used 67 times, so the direction of travel is clear.
Champions say that misidentifications are rare.
The Metropolitan Police say that around one in every 33,000 people who walk by its cameras is misidentified.
But the error count is much higher once an someone is actually flagged. One in 40 alerts so far this year has been a false positive."
Heather Burns has an absolutely deft way of turning the sometimes-dull world of digital privacy into entertaining, informative, and actionable prose. Too many of these sorts of books end up being a list of woes and end with "someone should do something, I guess?". Understanding Privacy is different. A…