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Minding the Gaps: Neuroethics, AI, and Depression

NonProfit Quarterly

4 In practice, thats proven difficulta systematic review of American healthcare data done in 2011 revealed high rates of re-identification, raising ethical concerns. 9 In addition, those who are diagnosed often experience more severe and disabling symptoms than those experienced by other races and ethnicities. 10 Only 35.1

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Improving AAPI Health with Better Data

NonProfit Quarterly

Image Credit: Urja Bhatt on unsplash.com Recently, a colleague asked me to identify my race. Presented with the standard options for race (White, Black or African American, American Indian or Alaska Native, Asian), I’ve always selected Asian. She was collecting diversity information and needed to fill in the field. I shrugged.

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Gen X Faces Heightened Cancer Risk

NonProfit Quarterly

Generational Cancer Risk According to Race/Ethnicity The increased rates of cancer among Gen X also reflect general disparities in cancer diagnoses by race and ethnicity. The study examined cancer incidence for non-Hispanic Whites, non-Hispanic Blacks, Hispanics, and Asian or Pacific Islanders.

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The Long Road to Health Equity

NonProfit Quarterly

Image Credit: SHREY DEEPRANJAN Today, healthcare institutions acknowledge forces like structural racism as drivers of negative health outcomes—but effectively addressing racism inside of those institutions still has a long way to go. Two decades later, attendees asked: Are we making progress toward addressing those inequities?

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Building Boundaries in Love for Equity and Justice: An AI Manifesto

NonProfit Quarterly

We Must Build Parameters to Protect People from AI Creators and AI Creators from Themselves In the rush to lead the global AI race, it can be tempting to prioritize innovation, speed, and profit without pausing to consider the profound ethical, societal, and human consequences.

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Harnessing the Power of AI for Positive Impact: A Conversation with Juan Lavista Ferres

NonProfit Quarterly

Through irresponsible and biased models, AI has also exacerbated preexisting inequities in healthcare. If you have a thousand people who take out a loan, knowing their race or ethnicity will tell you very little about who will repay the loan. You can observe income and you can observe demographic characteristics like race.

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Rest: A Middle Finger to Oppression, a Road Map to Justice by Shawn Ginwright

NonProfit Quarterly

Researchers have found that the duration, quality, and frequency of rest in general and sleep in particular are shaped by income level, housing conditions, employment status, type of work, and race. Rest and race are intertwined, and it all boils down to who has the right to rest and under what conditions rest and leisure should be granted.