UAE-based AI startup Qanoon.ai has raised $50 million in funding. The company focuses on deploying AI solutions within governmental organizations. This investment will help Qanoon.ai expand its reach and develop more advanced AI tools for public sector applications. Why it matters: Funding for AI startups indicates the growing importance of AI in the UAE's government sector, signaling a push for technological advancements in public services.
This paper introduces a Regulatory Knowledge Graph (RKG) for the Abu Dhabi Global Market (ADGM) regulations, constructed using language models and graph technologies. A portion of the regulations was manually tagged to train BERT-based models, which were then applied to the rest of the corpus. The resulting knowledge graph, stored in Neo4j, and code are open-sourced on GitHub to promote advancements in compliance automation.
This paper introduces a predictive analysis of Arabic court decisions, utilizing 10,813 real commercial court cases. The study evaluates LLaMA-7b, JAIS-13b, and GPT3.5-turbo models under zero-shot, one-shot, and fine-tuned training paradigms, also experimenting with summarization and translation. GPT-3.5 models significantly outperformed others, exceeding JAIS model performance by 50%, while also demonstrating the unreliability of most automated metrics. Why it matters: This research bridges computational linguistics and Arabic legal analytics, offering insights for enhancing judicial processes and legal strategies in the Arabic-speaking world.
KAUST and THIQAH, a technology company specializing in regulation technology and digital products, have signed a Memorandum of Understanding (MoU) on November 13, 2023. The partnership aims to foster innovation in the digital landscape through collaborative research and development of data applications and AI. The collaboration aligns with Saudi Vision 2030, focusing on digital technologies to develop innovative products and solutions while also developing human skills. Why it matters: This partnership between a leading Saudi university and a technology company signals a push towards local innovation in digital solutions and AI, potentially creating new opportunities and advancing Saudi Arabia's technological capabilities.
Researchers introduce a new task for generating question-passage pairs to aid in developing regulatory question-answering (QA) systems. The ObliQA dataset, comprising 27,869 questions from Abu Dhabi Global Markets (ADGM) financial regulations, is presented. A baseline Regulatory Information Retrieval and Answer Generation (RIRAG) system is designed and evaluated using the RePASs metric.
Saudi officials met with UN representatives in Vienna, Austria to discuss enhancing trade cooperation. They explored ways to leverage artificial intelligence to facilitate trade and investment. The discussions also covered streamlining customs procedures and promoting sustainable development goals. Why it matters: This meeting indicates Saudi Arabia's interest in using AI to improve its trade capabilities and align with global sustainability efforts.
This paper focuses on analyzing surveys of women entrepreneurs in the UAE using machine learning techniques. The goal is to extract relevant insights from the data to understand the current landscape and predict future trends. The study aims to support better business decisions related to women in entrepreneurship.