Dine pasientdata skal sendes til amerikansk sky – Datatilsynet advarer – NRK Norge

https://www.nrk.no/norge/dine-pasientdata-skal-sendes-til-amerikansk-sky-_-datatilsynet-advarer-1.16338026

I løpet av noen uker skal Helse Sør-Øst ta i bruk en skytjeneste for å håndtere nordmenns pasientdata. Datatilsynet advarer om at USA ikke er ansett som et trygt land å sende slike opplysninger til, og ber dem sette på bremsen.

Google finds 18 zero-day vulnerabilities in Samsung Exynos chipsets

https://www.bleepingcomputer.com/news/security/google-finds-18-zero-day-vulnerabilities-in-samsung-exynos-chipsets/

experienced attackers could easily create an exploit capable of remotely compromising vulnerable devices without triggering the targets’ attention.

One hundred drones now used across IKEA retail for stock inventory - Ingka Group

https://www.ingka.com/news/one-hundred-drones-now-used-across-ikea-retail-for-stock-inventory/

Austrian DSB: Meta Tracking Tools Illegal

https://noyb.eu/en/austrian-dsb-meta-tracking-tools-illegal

the Austrian Data Protection Authority (DSB) has decided that the use of Facebook’s tracking pixel directly violates the GDPR

The DSBs decision to declare Google Analytics illegal, also applies to the “Facebook Login” and “Meta Pixel” tools provided by Meta: If these tools are used, data is inevitably transferred to the USA, where the data is at risk of intelligence surveillance. European website operators are therefore advised not to include any tools from Meta on their websites.

Inside the Suspicion Machine - WIRED

https://www.wired.com/story/welfare-state-algorithms/

Obscure government algorithms are making life-changing decisions about millions of people around the world. Here, for the first time, we reveal how one of these systems works.

Lighthouse Reports and WIRED obtained Rotterdam’s welfare fraud algorithm and the data used to train it, giving unprecedented insight into how such systems work. This level of access, negotiated under freedom-of-information laws, enabled us to examine the personal data fed into the algorithm, the inner workings of the data processing, and the scores it generates. By reconstructing the system and testing how it works, we found that it discriminates based on ethnicity and gender. It also revealed evidence of fundamental flaws that made the system both inaccurate and unfair.

Self Radicalization with open sourced AI-Systems

https://goodinternet.substack.com/p/self-radicalization-with-open-sourced

Powerful Meta large language model widely available online - CyberScoop

https://cyberscoop.com/meta-large-language-model-available-online/

A set of sophisticated large language models developed by Facebook parent company Meta — and intended to be accessed only by authorized researchers — were made available for download on Friday, releasing to the public the most powerful such AI model yet and increasing the likelihood that the technology might be misused. 

The privacy loophole in your doorbell - POLITICO

https://www.politico.com/news/2023/03/07/privacy-loophole-ring-doorbell-00084979

Police were investigating his neighbor. A judge gave officers access to all his security-camera footage, including inside his home.

It really takes the control out of the hands of the homeowners, and I think that’s hugely problematic,” said Jennifer Lynch, the surveillance litigation director of the Electronic Frontier Foundation, a digital rights advocacy group.

In the debate over home surveillance, much of the concern has focused on Ring in particular, because of its popularity, as well as the company’s track record of cooperating closely with law enforcement agencies.

Scammers are now using AI to sound like family members. It’s working. - The Washington Post

https://www.washingtonpost.com/technology/2023/03/05/ai-voice-scam/

Scammers are using artificial intelligence to sound more like family members in distress. People are falling for it and losing thousands of dollars.

The next big threat to AI might already be lurking on the web - ZDNET

https://www.zdnet.com/article/the-next-big-threat-to-ai-might-already-be-lurking-on-the-web/

Artificial Intelligence (AI) and machine-learning experts are warning against the risk of data-poisoning attacks that can work against the large-scale datasets commonly used to train the deep-learning models in many AI services.

Data poisoning occurs when attackers tamper with the training data used to create deep-learning models. This action means it’s possible to affect the decisions that the AI makes in a way that is hard to track.