Can we trust AI not to further embed racial bias and prejudice? | The BMJ

Heralded as an easy fix for health services under pressure, data technology is marching ahead unchecked. But is there a risk it could compound inequalities? Poppy Noor investigates When Adewole Adamson received a desperate call at his Texas surgery one afternoon in January 2018, he knew something was up. The call was not from a patient, but from someone in Maryland who wanted to speak to the dermatologist and assistant professor in internal medicine at Dell Medical School in the University of Texas about black people and skin cancer. Over the next few weeks, over a series of phone calls, Adamson would learn a lot about the caller. Avery Smith is a software developer in his 30s whose wife, LaToya, had died the year before from melanoma. Smith had been researching how black people with melanoma were being underserved in healthcare for years, so when Smith said that the algorithms driving new cancer software were racist, Adamson was listening. Melanoma is most common in white skin. Bla

12 mentions: @EricTopol@bmj_latest@SandraWoodsMtl@AdeAdamson@reformthinktank@bmj_latest@Thomas_Wilckens@PaulJBelcher
Date: 2020/02/13 03:51

Referring Tweets

@SandraWoodsMtl For #raredisease, e.g., "researchers can use global data to understand more about diagnosis & treatment"⤵️ But #AI "wielded carelessly ↔️ potential to embed & exacerbate racial health inequalities" by @PoppyNoor of @guardian, in @bmj_latest #bioethics t.co/leBmgQlsiX
@bmj_latest Heralded as an easy fix for health services under pressure, data technology is marching ahead unchecked. But is there a risk it could compound inequalities? @PoppyNoor investigates t.co/b2EksyYn1Y #RacismInMedicine
@bmj_latest Can we trust AI not to further embed racial health inequalities? Heralded as an easy fix for health services under pressure, data technology is marching ahead unchecked. But is there a risk it could compound inequalities? @bmj_latest @PoppyNoor t.co/RpMfCvIdzy
@reformthinktank "Technology can’t choose what outcomes you want to achieve, or what type of society you want to be in." More from @EleHrwch in @bmj_latest @PoppyNoor below👇 Our report 'Thinking on its own' was also featured: t.co/hTqJy2WgnL t.co/H5Sr2SiCoN
@AdeAdamson Can we trust AI not to further embed racial bias and prejudice? t.co/axIpRbmFKM "If there is one thing Adamson wants you to know, it’s that he is not a luddite. AI has potential to clear up disparities" Thank you for setting the record straight @PoppyNoor via @bmj_latest
@PaulJBelcher #RacismInMedicine #AI “Heralded as an easy fix for health services under pressure, data technology is marching ahead unchecked. But is there a risk it could compound #inequalities? @PoppyNoor in @bmj_latest t.co/Gt0UU45eQx
@RasoiniR #AI is not objective. It is just a tool. We feed that tool. We decide what it learns, and it is possible that we might feed it bias or even racism.” t.co/h4CPobGToQ
@EricTopol “Those are very deep human questions that no one is going to answer for us. If you let them be answered for you, then you’re in deep shit.”--@EleHrwch @reformthinktank t.co/T5pnpFXemq @bmj_latest by @PoppyNoor @guardian w/ @AdeAdamson @DellMedSchool #AI #diversity t.co/VnEyRn1DWM

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