arXiv AI

Mapping the Artificial Intelligence Divide in Africa: Infrastructure, Accessibility and Capacity

arXiv:2606. 30656v1 Announce Type: cross Abstract: Artificial Intelligence (AI) has the potential to be transformative for development, but Africa is currently facing a fragmented and challenging "AI divide".

arXiv Machine Learning
Sep 25

RADAR: Readiness for AI Discovery and Agentic Reach

RADAR (Readiness for AI Discovery and Agentic Reach) evaluates how well AI systems serve citizens in 166 countries by testing two tasks: whether a chatbot can provide correct, officially sourced, country‑specific answers about public services (informational legibility) and whether an automated agent can actually access those services (agent operability). The study finds that AI can describe public services much better than it can reach them, with informational legibility consistently higher than agent operability across all countries and the gap remaining unchanged by national wealth. The two deficiencies have distinct causes—language representation in web corpora for legibility and national web presence for operability—and therefore require different solutions. "whyItMatters":"RADAR highlights a gap that traditional digital‑government rankings overlook, enabling governments of any income level to identify and address the specific barriers preventing AI from actually accessing public services."

By Luke Jordan, Tiago C. Peixoto, Manuel Ramos-Maqueda
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