Anticipatory Data Governance in the Age of AI: Emerging Signals in Data Access, Reuse, and Sovereignty
This paper reports findings from a structured participatory foresight study comprising two expert forecasting studios convened by The GovLab between 2025 and 2026. The studios brought together nineteen senior practitioners spanning official statistics, digital and trade policy, open science, AI governance, geospatial systems, and public-sector innovation across multiple jurisdictions. Applying a qualitative signal-scanning methodology grounded in the horizon-scanning and anticipatory-governance
Record details
Published: 29 July 2026
Source: arXiv
Category: Research
Topics: Regulation
Retrieved: 30 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Anticipatory Data Governance in the Age of AI: Emerging Signals in Data Access, Reuse, and Sovereignty
arXiv cs.CY · 30 July 2026
SymmGrid: Super-Scaling On-Robot Learning with Parallelized Symmetries and Egocentric-Exocentric Visual Perception
arXiv cs.AI · 29 July 2026
On-Policy Distillation for LLM Safety: A Routing Approach to Template-Robust Realignment
arXiv · 29 July 2026
Belief-Guided Decision Making with Uncertainty Gating in the Game of Go
arXiv cs.AI · 29 July 2026
The Kinetics of Training: A Driven-Nucleation Rate Law for Emergence, Plasticity Loss, and Circuit Control in Language Models
arXiv cs.LG · 29 July 2026
ReCo: Reweighting GRPO Against Distributional Concentration
arXiv cs.AI · 29 July 2026
How to cite this record
ethics.ai (29 July 2026), “Anticipatory Data Governance in the Age of AI: Emerging Signals in Data Access, Reuse, and Sovereignty,” evidence record 14572, https://ethics.ai/record/14572 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.