Germany, France and Italy Reach Agreement on Future AI Regulation

FILE PHOTO: European Union (EU) flags fly in front of the headquarters of the European Central Bank (ECB) in Frankfurt, Germany, July 8, 2020. REUTERS/Ralph Orlowski/File Photo
FILE PHOTO: European Union (EU) flags fly in front of the headquarters of the European Central Bank (ECB) in Frankfurt, Germany, July 8, 2020. REUTERS/Ralph Orlowski/File Photo
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Germany, France and Italy Reach Agreement on Future AI Regulation

FILE PHOTO: European Union (EU) flags fly in front of the headquarters of the European Central Bank (ECB) in Frankfurt, Germany, July 8, 2020. REUTERS/Ralph Orlowski/File Photo
FILE PHOTO: European Union (EU) flags fly in front of the headquarters of the European Central Bank (ECB) in Frankfurt, Germany, July 8, 2020. REUTERS/Ralph Orlowski/File Photo

France, Germany and Italy have reached an agreement on how artificial intelligence should be regulated, according to a joint paper seen by Reuters, which is expected to accelerate negotiations at the European level.
The three governments support commitments that are voluntary, but binding on small and large AI providers in the European Union that sign up to them.
The European Commission, the European Parliament and the EU Council are negotiating how the bloc should position itself.
In June, the European Parliament presented an "AI Act" designed to contain the risks of AI applications and avoid discriminatory effects, while harnessing the innovative power of AI.
During the discussions, the European Parliament proposed that the code of conduct should initially only be binding for major AI providers, which are primarily from the US.
The three EU governments have said this apparent competitive advantage for smaller European providers could have the drawback of reducing trust in them and of resulting in fewer customers.
The rules of conduct and transparency should therefore be binding for everyone, they said.
Initially, no sanctions should be imposed, according to the paper.
If violations of the code of conduct are identified after a certain period of time, however, a system of sanctions could be set up. In future, a European authority would monitor compliance with the standards, the paper said.
Germany's Economy Ministry, which is in charge of the topic together with the Ministry of Digital Affairs, said laws and state control should not regulate AI itself, but rather its application.
Digital Affairs Minister Volker Wissing told Reuters he was very pleased an agreement had been reached with France and Germany to limit only the use of AI.
"We need to regulate the applications and not the technology if we want to play in the top AI league worldwide," Wissing said.
State Secretary for Economic Affairs Franziska Brantner told Reuters it was crucial to harness the opportunities and limit the risks.
"We have developed a proposal that can ensure a balance between both objectives in a technological and legal terrain that has not yet been defined," Brantner said.
As governments around the world seek to capture the economic benefits of AI, Britain in November hosted its first AI safety summit.
The German government is hosting a digital summit in Jena, in the state of Thuringia, on Monday and Tuesday that will bring together representatives from politics, business and science.



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.