acePerspectives: artificial intelligence and scientific autonomy: a policy agenda for emerging research systems
Abstract Artificial intelligence is becoming part of the infrastructure through which scientific knowledge is produced, yet access to computing, data, advanced models and expertise remains highly uneven. This Perspective argues that, for emerging research systems, the central science-policy challenge is not simply AI adoption but scientific autonomy: the capacity to choose, understand, adapt, evaluate and govern the technologies on which research increasingly depends. Scientific autonomy is not technological sel…
Access to computing, data, advanced models and expertise is highly uneven, so emerging research systems risk depending on technologies they cannot choose, adapt or govern, deepening asymmetries between research systems.
The source presents Brazil only as an illustrative case and frames its conclusion conditionally, so it offers a proposed framework rather than demonstrated outcomes of the policy agenda.
Evidence
- Peer-reviewedScience and Public Policy2026-10-21
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Truvace Impact Record TRV-2026-2178, v1: “Perspectives: artificial intelligence and scientific autonomy: a policy agenda for emerging research systems.” Truvace, 2026-10-22. /record/TRV-2026-2178 (accessed at citation time). sha256 f9765cce79d2cc20…
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