In a Gartner presentation by Max Goss this week the subject of Organisational Change Management (OCM) in AI projects was brought up. OCM has always been important in IT projects but what makes it different in AI projects? Well, no surprise, it’s not just about the technology, it’s about the usual suspects such as communications, involving the right stakeholders, leveraging change networks and delivering training but there are more things to consider in the rapidly evolving landscape of AI.
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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?
AI’s Role in Reducing Risk in the SDLC (e.g. CrowdStrike)
In the wake of the recent CrowdStrike incident it’s easy to become an armchair critic. For those with experience in IT, isn’t it likely that such issues are multi-dimensional, spanning technical, managerial, cultural, and even simple human errors?
Deploying AI: What Somebody Seems to be Putting Together
After posting last weeks article (Deploying AI: What nobody seems to be putting together) where I suggested that we have fragmentation in approaches to AI deployment I saw a number of things come together. EY launched EY.ai (actually, back in Sept 2023), then a great post from Chris Howard at Gartner (Top of Mind – “Are 100% Accurate AI Language Models Even Useful?”) where Chris mentions ‘…as we hit the trough of disillusionment with generative AI…”.
Deploying AI: What Nobody Seems to be Putting Together
No surprise – it’s a (‘it’ in this case being the deployment of AI from a corporate perspective) a challenge and an opportunity. From the Artificial Intelligence perspective, businesses have access to a variety of tools and frameworks designed to facilitate AI adoption….that often operate in silos.
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.