Name in original language
سياسة الذكاء الاصطناعي المسؤول
Initiative overview
The Responsible AI Policy is developed to address the growing need for a comprehensive framework that enables the responsible adoption of AI while managing associated risks. As AI technologies continue to evolve and expand across sectors, they introduce significant opportunities for economic growth, innovation, and improved public services, alongside risks related to bias, privacy, safety, and misuse. The policy seeks to strike a balance between fostering innovation and ensuring that AI systems are developed and deployed in a safe, ethical, and trustworthy manner.
The primary objective of the policy is to establish clear governance principles and regulatory direction for AI across sectors. It provides guidance for government entities, private sector organisations, developers, and users to ensure alignment with national priorities and ethical standards. The policy promotes accountability, transparency, fairness, and human-centric AI, while supporting innovation through enabling mechanisms such as data access, infrastructure, and capacity building. It also aims to harmonise practices across entities and reduce fragmentation in AI adoption and oversight.
Looking ahead, the policy is expected to evolve into a more institutionalised and enforceable framework through the development of supporting regulations, standards, and compliance mechanisms. This includes integrating a risk framework, sector-specific guidelines, and monitoring and evaluation tools to track implementation and impact. The policy can scale through continuous updates, stakeholder engagement, and alignment with international best practices, ensuring it remains adaptive to technological advancements and emerging risks while strengthening national AI governance and resilience.
Results, outcomes and impacts
The initiative has established a baseline to enable proper AI maturity across entities, enabling improved visibility and benchmarking. Early outcomes include increased alignment on definitions, greater awareness of AI governance practices, and limiting potential risks associated with this technology.
Results are measured through surveys, maturity assessments, and periodic reporting across participating entities to improve consistency in reporting and gradual adoption of the policy.
In the future, the initiative is expected to drive higher AI adoption maturity, improved efficiency in government services, and stronger national benchmarking capabilities, with measurable improvements in data quality, compliance rates, and alignment.
