Category: bias
When thinking of artificial intelligence (AI), many people rely on cultural touchstones from science fiction films and TV. They might think of HAL, the calm-voiced AI from 2001: A Space Odyssey, or Data, the even-tempered android from Star Trek. We tend to imagine that artificial intelligence will be driven by reason, logic and facts – […]
A recent study published in Nature found that an algorithm was able to detect causes of knee pain not seen by a radiologist, helping account for racial disparities in knee pain. But in other cases, algorithms can further disparities, allocating clinical resources in ways that disfavor underserved patients. Dr. Ziad Obermeyer, a professor at UC […]
The European data strategy aims to construct common data spaces for all, create a single EU market for data, and catalyze a dynamic data economy. In a previous post, we briefly described the essence of the envisioned heath data space and pointed at opportunities and possible starting points to transform this vision into reality. However, […]