Recommendations for Diversity, Inclusivity, and Generalisability in Artificial Intelligence Health technologies and Health Datasets
Recommendations for Diversity, Inclusivity, and Generalisability in Artificial Intelligence Health technologies and Health Datasets
The potential for Artificial Intelligence (AI) to benefit health must be balanced against the risks posed by algorithmic bias and harms. These technologies may work better for some groups and worse for others, causing or worsening health inequity. To ensure the future of AI-enabled healthcare is inclusive and equitable, the STANDING Together collaboration has developed international consensus-based recommendations to highlight and mitigate potential harms caused by bias in data and algorithms.
Artificial intelligence, bias, medicine, health inequity, datasets, healthcare, health, diversity, inclusivity, data, AI, generalizability
Artificial intelligence, bias, medicine, health inequity, datasets, healthcare, health, diversity, inclusivity, data, AI, generalizability
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