Tailor Your AI Governance Framework to Your Model Portfolio
Organizations face mounting pressure to implement AI governance frameworks as AI adoption grows rapidly. Recent data shows that 78% of organizations use AI in at least one business function. The numbers tell an interesting story – 96% of companies using AI struggle to govern these systems effectively. The biggest problem lies in execution. A stark […]
NIST AI Risk Management Framework: A Builder’s Roadmap
The NIST AI Risk Management Framework (AI RMF 1.0) was published on January 26, 2023 — and for organizations deploying AI at scale, it remains the most practical starting point for managing what has become a genuinely complex risk landscape. AI adoption is accelerating faster than most governance structures can keep up with. The financial […]
Artificial Intelligence Governance for Banking Compliance
Artificial intelligence governance represents a major gap for financial institutions today. A staggering 55% of organizations operate without an implemented framework. Banking leaders consider regulatory compliance one of their biggest concerns. The regulatory burden and compliance costs keep growing, which leaves banks struggling to handle more testing and monitoring with existing resources. Generative AI has […]
AI Risk Management for AI Platforms: Scoping Your Assets
Recent data shows that 72% of organizations use some form of artificial intelligence, which is up 17% from 2023. The rapid adoption of AI brings serious security challenges. Leaders are worried – 96% believe that implementing generative AI increases the risk of security breaches. The numbers tell a concerning story as only 24% of current […]
A CEO’s Audit-Readiness Checklist for ISO 42001
ISO 42001 has become a top priority since 58% of organizations worry about AI compliance risks. Organizations can now get certified under this first-ever standard for Artificial Intelligence Management System (AIMS). The standard creates a well-laid-out framework that makes AI development, deployment, and management both ethical and transparent. Generative AI investments will grow by 76.4% […]
What Is ISO 42001? A CLO’s Guide to AI Legal Risk
ISO/IEC 42001 emerged in December 2023 as the first worldwide standard that focuses on AI management systems. This new framework helps organizations handle AI systems responsibly and tackles both ethical and operational challenges. A recent Deloitte State of Generative AI survey reveals some interesting numbers. About 38% of people worry about following regulations, while 32% […]
Designing the AI Impact Assessment (AIIA) for ISO 42001
ISO 42001 offers organizations a vital framework to implement responsible and ethical artificial intelligence systems. Business operations now increasingly integrate AI technologies, making Artificial Intelligence Impact Assessments (AIIAs) mandatory to achieve ISO 42001 certification. These assessments serve as practical tools that help teams evaluate AI systems systematically from concept to ground implementation. Organizations use AIIAs […]
ISO 42001 Explained: AI Governance for B2B Founders
The world’s first international standard for AI Management Systems (AIMS), ISO 42001, made its debut in December 2023. This new framework comes at the perfect time as AI regulations change faster and become more complex. B2B founders might find responsible AI management challenging. However, ISO/IEC 42001:2023 gives them a well-laid-out approach to govern, develop, and […]
AI Risk Management: Why Founders Must Prioritize Guardrails
AI risk management plays a vital role as artificial intelligence revolutionizes businesses at an unprecedented pace. Organizations using some form of artificial intelligence have increased by 17% since 2023, reaching 72%. Many companies rush to implement AI systems without establishing proper safeguards. Leaders show a striking contrast between enthusiasm and caution. A newer study published […]
AI Governance: C-Suite Brief on Compliance & Trust
AI governance has emerged as a crucial concern for business leaders since 57% of companies using AI at scale now consider ethical, safety, or regulatory risks their biggest barrier to growth. Organizations must now take a different approach to artificial intelligence implementation as regulatory oversight grows stronger. The numbers tell an interesting story – 90% […]