Aug 2026· MIT Science Policy Review· Vol 7, pp. 29-35· 1 citation· 7 references
TL;DR
MIT SPR spoke with three experts whose work spans global policy, academia, public health, and technology implementation around one direct question: "Is AI a scientific revolution or a new digital divide?"
Abstract
Artificial Intelligence (AI) is progressing at a pace that often exceeds how quickly educational, healthcare, public health, and policy systems can keep up with it, let alone govern, evaluate, and deploy it responsibly. In healthcare, public health, and education, it is broadly discussed as a tool that could benefit doctors, researchers, students, and decision-makers. But those benefits will not happen by themselves. If AI is shaped mostly by groups that already have the resources such as data, computing power, funding, technical skills, and policy influence, it will widen the same gaps it is supposed to close.
For MIT Science Policy Review Volume VII, themed "The Geopolitics of Science Policy: How Science is Outpacing Policy in a Rapidly Changing World," MIT SPR spoke with three experts whose work spans global policy, academia, public health, and technology implementation around one direct question: "Is AI a scientific revolution or a new digital divide?"
Artificial Intelligence AI, is a Database with Complex Math. Health Care is complex, with loads of data. Lately, AI has been trending. With this rise in popularity, many communities have been formed, and many open-source models are available for development purposes. Having a friend who can explain complex topics, deve...
C. Mohan· Bioscience Biotechnology Res...· 0 citations
Artificial Intelligence is no longer a futuristic concept; it's reshaping how work gets done—in every
industry from healthcare to entertainment. Artificial Intelligence (AI) is rapidly transforming the
global healthcare landscape, serving as a catalyst for innovation, predictive diagnostics, precision
medicine, operati...
C. N. Anazia· WORLD JOURNAL OF INNOVATION...· 0 citations
Artificial intelligence (AI) and data science are reshaping how healthcare systems detect risks, generate insights and organise improvement. This paper asks whether these developments have changed healthcare improvement enough, conceptually and practically, or whether they have primarily provided faster tools to moni...
This research commentary examines why the idea of a simple “big red button” is insufficient for addressing the real challenges of artificial intelligence control. It argues that modern AI risks emerge less from a dramatic machine takeover and more from gradual institutional dependency, unclear accountability, weak huma...
The optimistic view holds that AI can reduce gaps by improving the accuracy of diagnostics and therapeutics and by expanding access to services that would otherwise be out of reach demonstrates that these capabilities can profitably influence health status and survival in under-resourced settings.
I. Alnaimi, Ibrahim Abdul Jaleel Yamani, A. Alkhatib· European Journal of Prosthod...· 0 citations
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