AI in Health: Clearer Language, Better Choices

When we describe AI, the language we choose shapes public understanding. Calling an AI system 'smart' or saying it 'knows' something might seem harmless, but this anthropomorphism can quietly mislead users about the technology's actual capabilities and limitations, particularly in sensitive domains like health and wellness. Misunderstanding can lead to an overreliance on AI tools or a lack of critical engagement with their outputs.

A recent analysis, published in the journal *Public Understanding of Science* in 2023, found that news writers generally exercise more caution than expected in how they describe AI. The study, which reviewed over 1,500 news articles, observed that strongly human-like language was rare. When it did appear, it often fell on a spectrum, ranging from describing simple requirements an AI needs to fulfill to hinting at more complex, human-like traits. This indicates a nuanced approach, but also highlights areas where communication could be further refined.

For the individual navigating a landscape increasingly populated by AI-driven health apps and wearables, distinguishing between genuine analytical power and projected human-like intuition is paramount. A health app that 'recommends' a diet based on your data is performing a calculation, not exhibiting discernment. Conflating the two can lead to a passive acceptance of outputs without questioning the underlying data or algorithms.

Avoiding the Anthropomorphic Trap

The responsibility for clear communication extends to developers and communicators of wellness AI. By adopting more precise language, we can help ensure that AI tools are used effectively and ethically, allowing individuals to leverage their benefits while remaining grounded in the reality of what these technologies can—and cannot—do for their health and wellbeing. Pay attention to how your health tools are described, and challenge any language that suggests more 'knowing' than is truly present.