AI promises to track, understand and help us make sense of our bodies, minds and the world around us through thousands of datapoints. But how often is this experience delivered in a way that we can truly understand and benefit from? Through our work and research on pet wearables and smart home tech, we have seen the mismatch between consumer expectation of AI and what AI actually offers.
If we look at the landscape of AI and healthcare, we begin to see that AI is incredibly adept at tracking and collecting data, for example the vast realm of fitness wearables such as FitBit, and sleep trackers like Oura Ring. But often, these wearables fall short of giving solid recommendations, instead, they simply display data in beautiful ways. This is wonderful in that it makes the incomprehensible legible, but not so great in that it fails to give direct advice. As we interact more with these devices a sense of frustration and disillusionment is revealed. These devices are not as smart as we thought they might be. The burden of analysis still falls upon us. So, when can we begin to see how AI makes decisions and recommendations that can benefit us?