I have written previously about technical debt and GenAI choices and when you add on Shadow GenAI the situation becomes even more complex. The accessibility of Generative AI (GenAI) tools means that everyone can innovate like never before. However, this surge in un-monitored GenAI usage, often referred to as “Shadow AI”, combined with GenAI only now starting to come down from the ‘Peak of Inflated Expectations’ can lead to significant challenges, including the accumulation of technical debt within organisations.
Tag: AICompliance
HR’s Role in the World of Agentic AI: Shaping the Future of Virtual Employees
The world of AI is evolving rapidly, moving from passive tools to dynamic, “agentic” AI – technology that can operate autonomously, making decisions, interacting with employees, and handling tasks like a true virtual team member. While this shift brings exciting opportunities for efficiency it also brings new challenges for oversight, ethics, and integration into workplace culture. HR stands at the heart of this, ensuring that these “virtual employees” align with company values, policies, and workforce goals.
LLM Security – The OWASP Top 10 for LLMs & What You Need to Know
As AI continues to revolutionise industries, understanding and mitigating the security challenges around large language models (LLM’s) is critical. The OWASP Top 10 for LLM’s is a comprehensive guide to the most pressing risks faced by these models.
Identifying AI Risks: A New Tool for Businesses
Understanding the risks in any organisation or project takes time and usually involves one or more risk workshops, more often than not starting with a blank sheet of paper. Massachusetts Institute of Technology (MIT) have provided us with a short cut to identify risks associated with artificial intelligence using a new resource, the AI Risk Repository – save time and improve the breadth and depth of risks.
ISACA Announces AI Audit Toolkit: What You Need to Know and Why it’s Good for System Design…
In a significant move to bolster AI governance and compliance, ISACA has unveiled its AI Audit Toolkit. This toolkit is designed to help organisations navigate the complexities of auditing AI systems, providing a structured approach to assess and ensure their AI technologies are both effective and ethically sound. Although focused on Audit, why not use it to help drive design work?
Navigating the AI Frontier: What Canada’s AIDA Regulation Means for Your Business
As AI continues to reshape industries and societies, governments worldwide are grappling with how to regulate this transformative technology. Canada has taken a significant step forward with the proposed Artificial Intelligence and Data Act (AIDA). This article investigates what AIDA could mean for businesses and how to prepare for its implementation.
AI Risk and AI Management Formalised by NIST & ISO
These two subjects, with separate sections below are intertwined – understanding AI risk and the management of AI systems go hand in hand. Luckily NIST and ISO provide us with some tools to help with both.