The New Gravity: How Generative AI Remapped Innovation and What Academia Must Do Next
Hossein Akbarialiabad, Ayman Grada, Sancy A Leachman, David Rhew, Alireza Haghighi · 2026
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Description
Hossein Akbarialiabad and co-authors ask what role universities keep as private firms take the lead in generative AI, in a 2026 viewpoint. AI is reshaping medical research, diagnosis, hospital operations, and teaching. The biggest systems now grow in industry, backed by computing power and data that few universities can match, yet their use in clinics spreads fast.
The authors urge schools not to chase industry's scale. Instead, they should hold four ground strengths. They should tie model output to body science, join clinical, legal, and social views, and test tools with rigor. They should also guard ethics for patients left out of company data. A frame for teaching AI across medical training rounds out the plan.
Catalog record
| CREATOR | Hossein Akbarialiabad, Ayman Grada, Sancy A Leachman, David Rhew, Alireza Haghighi |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 45 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |