AI Companies Will Need to Start Reporting their Safety Tests to the US Government

AI (Artificial Intelligence) letters are placed on computer motherboard in this illustration taken June 23, 2023. (Reuters)
AI (Artificial Intelligence) letters are placed on computer motherboard in this illustration taken June 23, 2023. (Reuters)
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AI Companies Will Need to Start Reporting their Safety Tests to the US Government

AI (Artificial Intelligence) letters are placed on computer motherboard in this illustration taken June 23, 2023. (Reuters)
AI (Artificial Intelligence) letters are placed on computer motherboard in this illustration taken June 23, 2023. (Reuters)

The Biden administration will start implementing a new requirement for the developers of major artificial intelligence systems to disclose their safety test results to the government.
The White House AI Council is scheduled to meet Monday to review progress made on the executive order that President Joe Biden signed three months ago to manage the fast-evolving technology.
Chief among the 90-day goals from the order was a mandate under the Defense Production Act that AI companies share vital information with the Commerce Department, including safety tests.
Ben Buchanan, the White House special adviser on AI, said in an interview that the government wants "to know AI systems are safe before they’re released to the public — the president has been very clear that companies need to meet that bar.”
The software companies are committed to a set of categories for the safety tests, but companies do not yet have to comply with a common standard on the tests. The government's National Institute of Standards and Technology will develop a uniform framework for assessing safety, as part of the order Biden signed in October.
AI has emerged as a leading economic and national security consideration for the federal government, given the investments and uncertainties caused by the launch of new AI tools such as ChatGPT that can generate text, images and sounds. The Biden administration also is looking at congressional legislation and working with other countries and the European Union on rules for managing the technology.
The Commerce Department has developed a draft rule on US cloud companies that provide servers to foreign AI developers.
Nine federal agencies, including the departments of Defense, Transportation, Treasury and Health and Human Services, have completed risk assessments regarding AI's use in critical national infrastructure such as the electric grid.
The government also has scaled up the hiring of AI experts and data scientists at federal agencies.
“We know that AI has transformative effects and potential,” Buchanan said. “We’re not trying to upend the apple cart there, but we are trying to make sure the regulators are prepared to manage this technology.



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.