Governments Must Lead on AI Governance Instead of Ceding Responsibilities to AI Labs, Says Sam Altman
His remarks came at a time when global leaders debate on what should be the extent of control over AI.
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Six months into 2026, the AI landscape is advancing at an unprecedented pace. Key developments include the launch of several major frontier models, Anthropic’s fresh funding round, OpenAI’s revised agreement with Microsoft, and the growing integration of AI into defense operations.
These developments signal a shift in how the world perceives and uses AI. It is no longer confined to chatbots and shopping recommendations—AI is now reshaping manufacturing, healthcare, finance, national security, and beyond.
At the G7 summit, OpenAI chief executive Sam Altman has urged world leaders not to rely solely on AI enterprises and labs to develop AI governance. Instead, he called for governments to set global standards for deploying the rapidly advancing technology.
“Do not cede your responsibilities to AI labs like mine,” Altman told leaders and tech executives.
His remarks came at a time when global leaders debate on what should be the extent of control over AI.
“We develop the technology, and the citizens of the free world make the rules,” Altman said. “Technologists have special knowledge about AI, but they don’t have any special wisdom about humanity.”
According to the OpenAI chief, the question of whether AI is useful “has been settled” and he expects systems of “astonishing power” capable of reshaping humanity within the next year or two.
Among all areas, the AI lab has been prioritizing healthcare and medicine as a use case.
With over 230 million people turning to ChatGPT for health and wellness advice each week, the company launched ChatGPT Health earlier this year, a dedicated workspace within the platform designed to safely analyze personal medical records and wellness data.
OpenAI researcher Karan Singhal, who co-leads teams working on biomedical AI, foundation models, AI safety, and representation learning, is aiming for a massive shift in how people use and trust OpenAI’s models. The aim is to have patients trust the tools as a “protector in their care journey.”
Its GPT-5 model family is a step towards it.
”You definitely want the models to be ahead of everything else,” Singhal said in the media.
Recently, its models aided physicians in diagnosing rare genetic diseases affecting children. Using OpenAI’s o3 Deep Research reasoning model, researchers from Boston Children’s Hospital’s Manton Center for Orphan Disease Research, Harvard University, and OpenAI examined de-identified clinical and genomic data drawn from 376 unsolved cases. They established diagnoses in 18 cases.
“The bottleneck is time. An expert can devote only so much of their day to any one particular person,” said Dr. Catherine Brownstein, Boston Children’s Hospital’s Manton Center for Orphan Disease Research.
Healthcare remains one of the most vital and rapidly growing frontiers in AI, with the global AI in healthcare market expected to reach USD 194.79 billion by 2031 from USD 36.67 billion in 2026.
