The Humanization of AI: Why Our Words Matter More Than We Think
Ever caught yourself saying, ‘ChatGPT knows the answer’ or ‘AI thinks this way’? I have, and it’s oddly satisfying—almost like we’re giving these machines a personality. But here’s the kicker: what if this habit of ours is quietly reshaping how we perceive AI? Not just as tools, but as something… almost human. That’s the question at the heart of a recent study by researchers at Iowa State University, and it’s far more intriguing than it seems.
The Language of Anthropomorphism: A Double-Edged Sword
Let’s start with the basics. We humans are wired to anthropomorphize—to project human traits onto non-human things. It’s why we yell at our cars when they break down or name our houseplants. But when it comes to AI, this habit takes on a new dimension. Jo Mackiewicz, one of the study’s authors, points out that using words like ‘think’ or ‘understand’ when describing AI can blur the line between human cognition and algorithmic processing.
Personally, I think this is where things get fascinating. On one hand, anthropomorphism makes AI more relatable. It’s easier to say ‘AI learns from data’ than ‘AI processes data through complex algorithms.’ But on the other hand, this simplicity comes at a cost. What many people don’t realize is that by attributing human-like intentions to AI, we’re inadvertently setting unrealistic expectations. AI doesn’t ‘know’ anything—it predicts patterns. Yet, phrases like ‘ChatGPT knows the answer’ make it sound like it’s got a mind of its own.
The Surprising Reality of News Writing
Here’s where the study takes an unexpected turn. The researchers analyzed a massive dataset of news articles and found that anthropomorphism in AI coverage is far less common than we might assume. For instance, the word ‘needs’ was the most frequent mental verb paired with AI, but even that appeared only 661 times across billions of words.
What makes this particularly fascinating is the role of editorial standards. News outlets like the Associated Press actively discourage attributing human traits to AI, which likely explains the lower-than-expected usage. But here’s the catch: even when mental verbs are used, context matters. A phrase like ‘AI needs more data’ doesn’t imply human-like desires—it’s just a functional requirement.
From my perspective, this highlights a broader trend in how we communicate about technology. We’re not just describing AI; we’re shaping its narrative. And that narrative, as the study shows, exists on a spectrum. Some uses of mental verbs are harmless, while others—like ‘AI needs to understand the real world’—start to tread into murky waters, implying capabilities AI simply doesn’t possess.
Why This Matters: Beyond Words
If you take a step back and think about it, the way we talk about AI isn’t just a linguistic quirk—it’s a reflection of our relationship with technology. When we say ‘AI decided,’ we’re subtly shifting responsibility away from the humans who designed it. This raises a deeper question: Are we using anthropomorphism as a shield to avoid confronting the ethical and societal implications of AI?
A detail that I find especially interesting is how this language can distract from the humans behind the machines. Developers, engineers, and corporations are the ones building and deploying AI, yet phrases like ‘AI wants to optimize efficiency’ make it sound like the technology is driving its own agenda. This isn’t just misleading—it’s dangerous.
The Future of AI and Our Words
As AI continues to evolve, so will our language around it. But here’s the challenge: how do we strike a balance between making AI relatable and accurately representing what it is? In my opinion, the key lies in mindfulness. Writers, journalists, and even everyday users need to be more intentional about the words we choose.
What this really suggests is that the power of language isn’t just in the words themselves, but in how they shape our understanding. If we keep anthropomorphizing AI without caution, we risk creating a public perception that’s more fiction than fact. And in a world where AI is increasingly integrated into our lives, that’s a risk we can’t afford.
So, the next time you catch yourself saying ‘AI knows,’ pause for a moment. What does that really mean? And what are we unintentionally implying? After all, the story of AI isn’t just about what it can do—it’s about how we choose to talk about it.
