In this video, we explore a clear example of bias in AI-generated images. When asked to depict a CEO studying architectural drawings, ChatGPT consistently produced images of a white, 30-something male with traditional paper plans in an office setting. This surprising result highlights how AI can inadvertently amplify stereotypes from its training data. We discuss the implications for businesses, entrepreneurs, and change makers, emphasising the need for fairness, accuracy, and thoughtful oversight when building or implementing AI systems. Continue reading “AI Bias: Why AI Keeps Drawing the Same White Guy—Uncovering the Stereotypes in the Machine”
Category: AI Governance
AI Regulation in the EU: Why Most Businesses Won’t Have to Worry
I admit the EU AI Act 2024 spooked me on first reading last summer. I thought it would be quite a task to track the risk and usage of all AI usage in an organisation.
But having read their guidance published this week, I realise that most of their measures won’t apply to 95% of organisations. (Commission publishes the Guidelines on prohibited artificial intelligence (AI) practices, as defined by the AI Act.) Continue reading “AI Regulation in the EU: Why Most Businesses Won’t Have to Worry”
The first steps in managing AI as an asset
The first steps in managing AI as an asset – Transcript
In this video series, I’ve been making the case that we should manage AI as an asset—a strategy that goes beyond controlling costs and risks to genuinely unlocking innovation, clearing barriers to effective usage, and enabling true differentiation in the marketplace. We’ve discussed the nature of AI sprawl in the enterprise, its associated risks, the barriers to adoption, and the looming regulatory challenges. Today, I’d like to focus on the practical first steps we can take to govern AI properly within our organisations. Continue reading “The first steps in managing AI as an asset”
Quick guide to the EU AI Act 2024
Quick guide to the EU AI Act 2024 – Transcript
In this video series, I’ve been making the case that we should manage AI like an asset. Doing so not only helps us control costs and mitigate risks, but crucially enables us to harness innovation and overcome barriers that might otherwise prevent us from tapping into AI’s full potential. In the previous video, we discussed various categories of risk associated with AI, including the emerging regulatory risks. Today, I’d like to offer a concrete example: the newly published EU AI Act 2024, set to take effect in 2026. Continue reading “Quick guide to the EU AI Act 2024”
Key Risks of Implementing AI in the Enterprise
Key Risks of Implementing AI in the Enterprise – Transcript
In this video series, I’ve been arguing that we should manage AI like an asset. By approaching it through an asset management lens, we’re not only controlling cost and mitigating risk, but also accelerating innovation and achieving better outcomes faster—ultimately helping our organisations remain competitive. Continue reading “Key Risks of Implementing AI in the Enterprise”
Four barriers to AI adoption in the Enterprise
Four barriers to AI adoption in the Enterprise – Transcript
In this video series, I’m arguing that we should manage AI as an asset—not purely to control its costs and risks, but also to unlock innovation and give our teams the freedom to experiment and progress more rapidly. In the previous video, we explored three types of AI commonly used in the enterprise. Now, I’d like to focus on the barriers preventing many organisations from fully embracing AI in the first place. Continue reading “Four barriers to AI adoption in the Enterprise”
The three most common types of AI in use today
The three most common types of AI in use today – Transcript
In this video series, we’re looking at how AI is deployed across the enterprise and making the case for managing it as an asset. This isn’t just about cost and risk—it’s about harnessing innovation and enabling our organisations to move faster and more efficiently. In the previous video, we explored how AI adoption currently shows all the classic signs of IT sprawl: plenty of experimentation but limited foresight around return on investment and scant governance structures. Today, I’d like to examine which types of AI are actually in use. Continue reading “The three most common types of AI in use today”
AI in the Enterprise, manage it like an asset to drive innovation
Manage AI in the Enterprise like an asset – Transcript:
Welcome to this new video series, where I’ll be exploring the use of Artificial Intelligence (AI) within the enterprise Continue reading “AI in the Enterprise, manage it like an asset to drive innovation”