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”
Tag: Machine Learning
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”