The integration of AI into healthcare raises important concerns about bias and inequity, especially when it comes to race, ethnicity, age, sex and socioeconomic status. Without deliberate action, these technologies risk reinforcing or exacerbating existing disparities in care for diverse populations. Read this article to learn about:
- Sources and types of bias in healthcare AI
- Building inclusive and transparent AI systems
- Facilitating a more equitable healthcare system with responsible AI
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