I'd like to pose a thought-provoking question: Have you used any form of Artificial Intelligence (AI) in the last 24 hours? If you answered no, consider whether you have utilised features such as face recognition to unlock your smartphone or interacted with autocorrect and voice-to-text functionalities. If so, you are already engaging with AI on a regular basis. The reality is that AI permeates our daily lives more than we often recognise. It operates within our smartphones, influences YouTube's recommendation algorithms, enhances the efficiency of Google Search, and informs many advanced driver-assist features found in Tesla vehicles. Additionally, AI plays an increasingly critical role in healthcare settings, where it assists radiologists in interpreting MRI scans, yielding potentially life-saving insights. In law enforcement, facial recognition technology is being harnessed to identify suspects more effectively. But what exactly constitutes artificial intelligence? To grasp the essence of AI, we first need to clarify what we mean by natural intelligence—an attribute manifested by humans and other sentient beings. The American Psychological Association defines intelligence as the capacity to comprehend complex ideas, adapt efficiently to different environmental contexts, learn from experience, and engage in various forms of reasoning and problem-solving. Building on this definition, one can construe AI as a computer system that demonstrates these traits to a measurable extent. This leads us to a critical distinction: simple devices, like calculators, do not qualify as AI under this framework. While calculators can perform intricate computations and solve mathematical problems, they lack the capacity to adapt to their environment or learn from prior usage. However, within certain circles of AI researchers, there exists a debate about whether even the most rudimentary computational devices should be classified as early forms of AI. Reflecting on history, we find that over 400 years ago, French mathematician Blaise Pascal's invention of the first mechanical calculator sparked conversations among journalists who attributed human-like intelligence to this device. They reasoned that since calculating was a uniquely human function, any machine that could perform calculations must possess a form of intelligence. Looking back with the knowledge we have today, it's evident that labeling calculators as intelligent was a reflection of human overconfidence, or hubris. As machines begin to perform cognitive tasks at or beyond human capabilities, there tends to be a dismissive attitude toward their achievements; they are often seen merely as sophisticated tools lacking true intelligence. This skepticism is still present—some AI experts argue that technologies like facial recognition, natural language processing, and automated driving are not valid forms of "true" AI. However, this perspective seems more rooted in personal pride and traditional definitions of intelligence than in the evolving understanding of AI. It's important to recognise that AI isn't a simplistic binary concept; it's not solely classified as either "intelligent" or "non-intelligent." Similar to how human intelligence is measured through IQ, computer systems also demonstrate varying degrees of intelligence. Just 15 years ago, the accuracy rate of image recognition systems for identifying images of cats was approximately 50%, akin to a coin toss. In stark contrast, today, those same systems achieve classification accuracies in the high 90s. Daily advancements echo this progress; AI technologies are continually improving in fields such as interpreting medical imaging, generating and understanding natural language, and navigating autonomously in complex environments. Perhaps, in a decade's time, we will look back and wonder why we considered the AI of today to be cutting-edge, much like how we perceive calculators now. Present-day AI systems tend to be specialised and domain-specific. For instance, an AI particularly adept at facial recognition does not possess the ability to understand spoken language, and vice versa. This domain specificity underscores a fascinating reality: while some AI applications excel in particular tasks, they are far from general intelligence. In certain areas such as chess or the strategic board game Go, AI can outperform human players. However, in the broader spectrum of cognitive tasks—such as reading, writing, speaking fluently, interpreting emotions, and managing complex social interactions—humans still retain a distinct advantage. Ultimately, the most significant contrast between human and artificial intelligence resides in the multifaceted nature of human cognition. A human brain seamlessly integrates a myriad of functions into a cohesive whole, allowing for simultaneous engagement in various cognitive tasks. In stark comparison, even the most advanced AI systems available today can be categorised primarily as narrow artificial intelligence. Now, I invite you to contemplate the numerous facets of your work environment that are already influenced by AI, or envision the possibilities of how they might soon be transformed by its integration.