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The future is to build a worldwide network for diverse data on a global scale, says Derek Baird, president, North America, Sensyne Health.
Mikhail Golovnya, senior advisory data scientist at Minitab, says that modern AI, although it is now more accessible to non-scientists, is still just a form of machine learning and is not as powerful as some believe.
Author Karen Hao says users often do not know about the immense scale of AI data centers and their computing infrastructure, as well as the labor exploitation and environmental strain that accompany them.
Peiling Yap, chief scientist at HealthAI, says that many responsible AI projects never move beyond pilot stages because weak governance and a lack of clear regulatory guardrails block safe scaling and widespread adoption.