AI & GRC by Dr. Abdelkarim Darwish

 

AI & GRC

#ai

#grc

#innovation



In today’s rapidly evolving digital landscape, the integration of Artificial Intelligence (AI) into Governance, Risk, and Compliance (GRC) functions is no longer optional—it is essential. A forward-thinking organization views GRC as a strategic framework encompassing all capabilities needed to support principled performance.

According to UNESCO, AI systems are information-processing technologies that integrate models and algorithms that produce a capacity to learn and to perform cognitive tasks leading to outcomes such as prediction and decision-making in material and virtual environments. AI systems are designed to operate with varying degrees of autonomy by means of knowledge modelling and representation and by exploiting data and calculating correlations.

Governance: the combination of processes and structures implemented by the board to inform, direct, manage, and monitor the activity of the organization toward the achievement of its objectives.

Risk Management: a process to assess, manage and control potential events or situation to provide reasonable assurance regarding the achievement of the organization’s objectives.

•      ISO standards provide frameworks and guidelines for various areas, including quality management, environmental management, information security, and occupational health and safety. Compliance with ISO standards, whether through certification or simply by implementing the requirements, can help organizations operate more reliably, improve quality, and demonstrate their commitment to specific areas. 

Compliance: it means that an organization is adhering to certain standards, when it works. For Example, ISO compliance, means that an organization is adhering to the standards set by the International Organization for Standardization (ISO). In addition, in area of Artificial Intelligence AI, a leading organization should look to comply with ISO 8000 for Data Quality Management System and  ISO 42001:2023 for Information Technology-Artificial intelligence – Management System.

•      Advanced tools, such as; the Readiness Assessment Methodology (RAM) and the Ethical Impact Assessment (EIA), which form the core pillars of the implementation. These tools both aim to assess and promote the resilience of existing laws, policies and institutions to AI implementation in the country, as well as the alignment of AI systems with the values and principles set out in the Recommendation.

 

Conclusion:

As organizations increasingly adopt AI technologies, embedding robust GRC frameworks becomes critical to ensure ethical use, regulatory compliance, and sustainable performance. Leveraging international standards such as ISO 8000, ISO 42001, and ISO 37301 not only strengthens operational integrity but also enhances stakeholder trust in AI-driven systems.