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RIRAG: Regulatory Information Retrieval and Answer Generation

arXiv ·

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.

A Case Study for Compliance as Code with Graphs and Language Models: Public release of the Regulatory Knowledge Graph

arXiv ·

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.

ADGM and MBZUAI forge strategic collaboration to advance artificial intelligence for regulatory compliance

MBZUAI ·

ADGM and MBZUAI have signed an MoU to advance AI applications in financial regulatory compliance. The partnership will focus on developing regtech and suptech solutions, including an AI model to extract meaning from financial regulations. A key project is enhancing FSRA’s ‘Risk Analyser’ platform, which uses AI to provide insights on supervised firms. Why it matters: This collaboration signals a push towards AI-driven regulatory innovation in the UAE's financial sector, potentially improving efficiency and compliance.

The AI Pentad, the CHARME$^{2}$D Model, and an Assessment of Current-State AI Regulation

arXiv ·

This paper introduces the AI Pentad model, comprising humans/organizations, algorithms, data, computing, and energy, as a framework for AI regulation. It also presents the CHARME²D Model to link the AI Pentad with regulatory enablers like registration, monitoring, and enforcement. The paper assesses AI regulatory efforts in the EU, China, UAE, UK, and US using the CHARME²D model, highlighting strengths and weaknesses.

ILION: Deterministic Pre-Execution Safety Gates for Agentic AI Systems

arXiv ·

The paper introduces ILION, a deterministic execution gate designed to ensure the safety of autonomous AI agents by classifying proposed actions as either BLOCK or ALLOW. ILION uses a five-component cascade architecture that operates without statistical training, API dependencies, or labeled data. Evaluation against existing text-safety infrastructures demonstrates ILION's superior performance in preventing unauthorized actions, achieving an F1 score of 0.8515 with sub-millisecond latency.

AI in Government

MBZUAI ·

The Director-General of the Abu Dhabi Digital Authority, Mohamed Abdelhameed Al Askar, will give a talk on AI adoption in government. The talk will cover key points related to AI utilization within government organizations. Al Askar has experience managing digital initiatives such as the Abu Dhabi Government Services Program (TAMM). Why it matters: This signals the increasing importance of AI in public sector modernization efforts in the UAE and the broader region.

SSRC’s Dr. Abdelrahman AlMahmoud to Participate in WGISTA Webinar

TII ·

Dr. Abdelrahman AlMahmoud from TII's Secure Systems Research Center (SSRC) will participate in a WGISTA webinar on adopting a digital mindset in auditing and fighting corruption. The webinar, organized by the International Organization of Supreme Audit Institutions (INTOSAI), will discuss the impact of emerging technologies on public sector auditing. Dr. AlMahmoud will share insights on how AI and Big Data can enable auditors to process data at a new scale. Why it matters: This highlights the UAE's growing role in applying advanced technologies like AI and big data to improve governance and accountability in the public sector.