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How algorithmic bias created a mental health crisis [PODCAST]

Kevinmd.com2 min read
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How algorithmic bias created a mental health crisis [PODCAST]

Original Article Summary

Health care executive Ronke Lawal discusses her article, "Digital mental health’s $20 billion blind spot." Ronke explains how the booming digital mental health industry is systematically failing 40 percent of the U.S. population (racial and ethnic minorities)…

Read full article at Kevinmd.com

Our Analysis

KevinMD's discussion on the podcast "How algorithmic bias created a mental health crisis" highlights the systematic failure of the digital mental health industry to cater to 40 percent of the U.S. population, specifically racial and ethnic minorities. This means that website owners, particularly those in the healthcare sector, need to be aware of the potential biases in their AI-powered mental health tools and resources. The fact that algorithmic bias is creating a mental health crisis among racial and ethnic minorities suggests that website owners must take steps to ensure their digital content and services are inclusive and equitable. To address this issue, website owners can take actionable steps such as regularly auditing their AI-powered tools for biases, ensuring that their content is culturally sensitive and diverse, and implementing policies to address the digital mental health needs of underserved populations. Additionally, they can review their llms.txt files to ensure that their website's interaction with AI bots does not perpetuate or exacerbate existing biases, and consider partnering with organizations that specialize in addressing mental health disparities to provide more comprehensive support to their users.

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