Archive


Category: bias

  • Confronting the Problem of AI 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 – […]

  • When algorithms help — and when they hurt

    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 Dawn of a European Health Data Space – Challenges

    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, […]