Tackling algorithmic bias by promoting transparency in health datasets (The STANDING Together recommendations)

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  • Date
    18 March 2025
    Timeframe
    14:00 - 15:00
    Duration
    60 minutes
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    Health data is highly complex and can be challenging to interpret without knowing the context in which it was created. Data biases can be encoded into artificial intelligence (AI) health technologies, worsening existing health inequalities at scale. The STANDING Together recommendations give guidance to those who are creating and using health data on how to minimise this risk. They were developed via an international consensus process involving representatives from 58 countries. In this session, the lead researchers for STANDING Together will talk through the recommendations and how they can be used to develop AI health technologies which are safe and effective for everyone.

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