Artificial Intelligence (AI) systems are driving innovation and improving processes across industries. From automation to advanced decision-making, the applications are endless. However, with these advancements come significant responsibilities. To operate AI systems responsibly, organizations must implement comprehensive AI management system policies. These policies are crucial for ensuring ethical usage, addressing compliance issues, and maintaining trust...
Introduction to AI Management System Policies As artificial intelligence (AI) increasingly integrates into organizational processes, managing data efficiently and ethically becomes crucial. AI management system policies provide a structured framework to handle AI-related data and processes while prioritizing quality, privacy, and regulatory compliance. These policies define the guidelines for data collection, processing, storage, and security,...
ISO/IEC 42001 and Its Role in AI Management ISO/IEC 42001 is a newly established standard specifically crafted for the governance and management of artificial intelligence (AI) systems within organizations. A central document within this standard is the ISO/IEC 42001 SOA Template (Statement of Applicability), which helps organizations document the controls they have in place to...
Risk management is a critical aspect of any organization’s operations. The PECB Certified ISO 31000 Lead Risk Manager training is designed to equip professionals with the skills to develop, implement, and maintain risk management frameworks in accordance with ISO 31000. This course helps participants identify, assess, and manage risks to ensure business continuity and resilience....
Foreword The objective of this article is to provide a cohesive overview of the controls outlined in Annex B of the recently released ISO/IEC 42001:2023 standard. While not intended to be an exhaustive examination of the entire standard, this article serves as a starting point for understanding the specific controls within Annex B. The focus...
