Meta Makes End-to-End Encryption a Default on Facebook Messenger

The META logo is seen at the Vivatech show in Paris in Paris, France on June 14, 2023. (AP)
The META logo is seen at the Vivatech show in Paris in Paris, France on June 14, 2023. (AP)
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Meta Makes End-to-End Encryption a Default on Facebook Messenger

The META logo is seen at the Vivatech show in Paris in Paris, France on June 14, 2023. (AP)
The META logo is seen at the Vivatech show in Paris in Paris, France on June 14, 2023. (AP)

Meta is rolling out end-to-end encryption for calls and messages across its Facebook and Messenger platforms, the company announced Thursday.

Such encryption means that no one other than the sender and the recipient — not even Meta — can decipher people’s messages. Encrypted chats, first introduced as an optional feature in Messenger in 2016, will now be the standard for all users going forward, according to Messenger head Loredana Crisan.

"This has taken years to deliver because we’ve taken our time to get this right," Crisan wrote in a blog post. "Our engineers, cryptographers, designers, policy experts and product managers have worked tirelessly to rebuild Messenger features from the ground up."

Meta CEO Mark Zuckerberg promised, back in 2019, to bring end-to-end encryption to its platforms after the social media company suffered a string of high-profile scandals, notably when Cambridge Analytica accessed user data on Facebook. Privacy advocates again shined a spotlight on Meta after Nebraska investigators reviewed private Facebook messages while investigating an abortion that violated a state 20-week ban.

Meta, whose WhatsApp platform already encrypts messages, said the feature can help keep users safe from hackers, fraudsters and criminals.

Meanwhile, encryption critics, law enforcement and even a Meta report released in 2022 note the risks of enhanced encryption, including users who could abuse the privacy feature to sexually exploit children, facilitate human trafficking and spread hate speech.

"What will Meta’s bosses say to children who have suffered sexual abuse, whose trauma will be compounded by their decision not to preserve their privacy? How will they justify turning a blind eye to this illegal and harmful content being spread via their platforms?" said Internet Watch Foundation chief executive Susie Hargreaves.

"The company has a strong track record in detecting large amounts of child sexual abuse material before it appears on its platforms. We urge Meta to continue this vital protection."

The new features will be available immediately, but Crisan wrote that it would take some time for the privacy feature to be rolled out to all of its users.



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.