arXiv Machine Learning By Md Muhtasim Munif Fahim, Md Jahid Hasan Imran, Md. Naim Molla, Luknath Debnath, Tonmoy Shil, Ehsanul Bashar Pranto, Md Mostafizur Rahman Likhon, Md Shafin Sanyan Saad, Md. Rezaul Karim

Drivers, Receivers, and Dynamic Linkages: The Directed Structure of SDG Interdependence, 2000--2024

Read the original on arXiv Machine Learning →

arXiv:2601. 20875v2 Announce Type: replace-cross Abstract: Governments with limited fiscal and administrative capacity need to know which Sustainable Development Goals (SDGs) propagate progress through the goal system and how quickly.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

arXiv AI
Jul 17

Global Index on Responsible AI: 2026 Report

arXiv:2607. 14782v1 Announce Type: new Abstract: Grounded in human rights-based frameworks such as the UNESCO Recommendation on the Ethics of AI, the Global Index on Responsible AI (GIRAI) examines how countries translate responsible AI commitments into enforceable protections, institutional capacity, and redress mechanisms.

By Rachel Adams, Fola Adeleke, Ayantola Alayande, Selamawit Engida Abdella, Ana Florido, Nicol\'as Grossman, Leah Junck
arXiv Machine Learning
Jul 31

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series

arXiv:2607. 27263v1 Announce Type: new Abstract: Most benchmarks for causal inference over time series are observational, small, or domain-specific, leaving interventional and counterfactual estimation under-served exactly where it matters most, such as in healthcare, policy evaluation, and climate science.

By Dennis Thumm, Billy Tim Anthony, Ying Chen