European Consumers Challenge Meta Paid Service as Privacy 'Smokescreen'

Meta has reaped rich financial rewards by selling its users' data to advertisers, but its model has pit it against EU regulators. Kirill KUDRYAVTSEV / AFP/File
Meta has reaped rich financial rewards by selling its users' data to advertisers, but its model has pit it against EU regulators. Kirill KUDRYAVTSEV / AFP/File
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European Consumers Challenge Meta Paid Service as Privacy 'Smokescreen'

Meta has reaped rich financial rewards by selling its users' data to advertisers, but its model has pit it against EU regulators. Kirill KUDRYAVTSEV / AFP/File
Meta has reaped rich financial rewards by selling its users' data to advertisers, but its model has pit it against EU regulators. Kirill KUDRYAVTSEV / AFP/File

Consumer groups from eight EU countries lodged complaints on Thursday against Meta, accusing the US company of illegally processing user data and using its "pay or consent" system as a "smokescreen" for privacy breaches.
Meta has reaped rich financial rewards by selling Facebook and Instagram user data to advertisers, but its business model has pit the US-based firm against EU regulators over data privacy, AFP said.
In November, Meta launched a "pay or consent" system allowing users to withhold use of their data for ad targeting in exchange for a monthly fee -- a model already facing two challenges from privacy and consumer advocates.
Announcing the latest action, the European Consumer Organization (BEUC) called the system "a smokescreen to obscure the real problem of massive, illegal data processing of users which goes on regardless of what users choose."
Eight consumer groups in the Czech Republic, Denmark, France, Greece, the Netherlands, Norway, Slovenia and Spain are filing complaints with their local data protection authorities, the Brussels-based umbrella body said in a statement.
The groups argue that Meta is still violating the European Union's mammoth general data protection regulation, which has been at the root of EU court cases against the online giant.
"It's time for data protection authorities to stop Meta's unfair data processing and its infringing of people's fundamental rights," said Ursula Pachl, BEUC deputy director general.
BEUC in a report said that Meta is violating the EU data law's principles that demand transparency as well as limiting how much user data it processes and what it is used for.
"Meta seems to be of the opinion that in order for the company to earn money with advertising, it is justified to collect any imaginable data on consumers' activities, location, personalities, behavior, attitudes and emotions," the report said.
"In reality, the massive exploitation of the private lives of hundreds of millions of European consumers for commercial gain fails to respect various fundamental principles of the GDPR."
Flurry of complaints
The Silicon Valley company allows users of Instagram and Facebook in Europe to pay between 10 and 13 euros (around $11 and $14) a month to opt out of data sharing.
Under the GDPR law, consent must be freely given but BEUC argues that its model coerces consumers into accepting Meta's processing of their personal data.
"The company also fails to show that the fee it imposes on consumers who do not consent is indeed necessary, which is a requirement stipulated by" an EU top court.
"Under these circumstances, the choice about how consumers want their data to be processed becomes meaningless and is therefore not free," the report said.
The challenges are the latest in a cat-and-mouse game between the EU and Meta.
The EU's data watchdog, the EDPB, in December told Meta it could not use the personal data of users for targeted ads without their explicit consent.
The EDPB is due to decide in the next few weeks whether a fee system like Meta's violates the bloc's data privacy laws.
Thursday's complaint is the third against Meta's "pay or consent" scheme.
BEUC in November said together with 19 of its members that they had launched a joint complaint with Europe's network of consumer protection authorities against the system.
Before that, the privacy group NOYB, which has won countless victories against Meta and others, filed a complaint.



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.