OpenAI CEO Warns ‘Societal Misalignments’ Could Make AI Dangerous 

Sam Altman, OpenAI CEO (on screen) speaks in a videocall with Omar al-Olama, Minister of State for Artificial Intelligence, Digital Economy and Remote Work Applications, during the World Government Summit in Dubai on February 13, 2024. (AFP)
Sam Altman, OpenAI CEO (on screen) speaks in a videocall with Omar al-Olama, Minister of State for Artificial Intelligence, Digital Economy and Remote Work Applications, during the World Government Summit in Dubai on February 13, 2024. (AFP)
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OpenAI CEO Warns ‘Societal Misalignments’ Could Make AI Dangerous 

Sam Altman, OpenAI CEO (on screen) speaks in a videocall with Omar al-Olama, Minister of State for Artificial Intelligence, Digital Economy and Remote Work Applications, during the World Government Summit in Dubai on February 13, 2024. (AFP)
Sam Altman, OpenAI CEO (on screen) speaks in a videocall with Omar al-Olama, Minister of State for Artificial Intelligence, Digital Economy and Remote Work Applications, during the World Government Summit in Dubai on February 13, 2024. (AFP)

The CEO of ChatGPT-maker OpenAI said Tuesday that the dangers that keep him awake at night regarding artificial intelligence are the “very subtle societal misalignments” that could make the systems wreak havoc.

Sam Altman, speaking at the World Government Summit in Dubai via a video call, reiterated his call for a body like the International Atomic Energy Agency to be created to oversee AI that's likely advancing faster than the world expects.

“There’s some things in there that are easy to imagine where things really go wrong. And I’m not that interested in the killer robots walking on the street direction of things going wrong,” Altman said. "I’m much more interested in the very subtle societal misalignments where we just have these systems out in society and through no particular ill intention, things just go horribly wrong.”

However, Altman stressed that the AI industry, like OpenAI, shouldn't be in the driver's seat when it comes to making regulations governing the industry.

“We’re still in the stage of a lot of discussion. So, there’s you know, everybody in the world is having a conference. Everyone’s got an idea, a policy paper, and that’s OK,” Altman said. “I think we’re still at a time where debate is needed and healthy, but at some point in the next few years, I think we have to move towards an action plan with real buy-in around the world.”

OpenAI, a San Francisco-based artificial intelligence startup, is one of the leaders in the field. Microsoft has invested some $1 billion in OpenAI. The Associated Press has signed a deal with OpenAI for it to access its news archive. Meanwhile, The New York Times has sued OpenAI and Microsoft over the use of its stories without permission to train OpenAI's chatbots.

OpenAI's success has made Altman the public face for generative AI’s rapid commercialization — and the fears over what may come from the new technology.

He said he was heartened to see that schools, where teachers feared students would use AI to write papers, now embrace the technology as crucial for the future. But he added that AI remains in its infancy.

“I think the reason is the current technology that we have is like ... that very first cellphone with a black-and-white screen,” Altman said. “So, give us some time. But I will say I think in a few more years it’ll be much better than it is now. And in a decade, it should be pretty remarkable.”



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.