This challenge aims to improve trust in artificial intelligence and machine learning through bias detection and mitigation.
To address these issues [of bias] and improve clinician and patient trust in AI/ML-based CDS tools, this Challenge invites groups to develop bias-detection and -correction tools that foster “good algorithmic practice” and mitigate the risk of unwitting bias in CDS algorithms.
