The RISE Project @RISE_Projectuk

Racially Inclusive Skin Evidence | Non profit that collects and distributes images of darker skin tones specialising in health care | Diversity in AI riseproject.co.uk Oxford, England Joined March 2021

Tweets

18
Followers

65
Following

71
Likes

45

The RISE Project @RISE_Projectuk

4 years ago

Long overdue and much needed, we welcome this report which also reflects our findings and experiences. Radical action is needed now. theguardian.com/society/2022/f…

0 0 0 0 0

Abigail McNiven @AbiOxfRes

4 years ago

If you've had experience of prolapse or urinary incontinence, and you'd be willing to take part in an interview (or would like to know more), please get in touch: [email protected] We're particularly keen to hear from people from minority and marginalised groups in the UK.

2 18 6 0 1

Download Image

The RISE Project @RISE_Projectuk

4 years ago

AI skin cancer diagnoses risk being less accurate for dark skin – study theguardian.com/society/2021/n…

0 0 0 0 0

The RISE Project @RISE_Projectuk

4 years ago

Looking forward to this event tomorrow.

0 0 0 0 0

The RISE Project @RISE_Projectuk

4 years ago

Honoured to be selected to present our research 'How skin typing systems in Dermatology could be contributing to data bias' @ukfci Annual Scientific Conference 2021 on 1st July. Presented by @DrNavPaul #UKFCI #inclusiveAI #dermatology #tech #digitalhealth

1 0 5 0 0

Roxana Daneshjou MD/PhD @RoxanaDaneshjou

4 years ago

What does it mean to launch a tool "meant to help patients" but shouldn't be used as a diagnostic? Google is launching Derm Assist, an AI tool for skin disease. While Google has certainly advanced the field of AI in dermatology, I have concerns. (a thread) bbc.com/news/technolog…

9 96 271 0 52

Ade Adamson, MD MPP @AdeAdamson

4 years ago

Google launches AI health tool for skin conditions in Europe on.ft.com/3tWNQtS The algorithm was developed based on training data with less than 4% dark skin types. It should come with a warning BEWARE OF RESULTS IF BLACK!!!

5 50 195 0 20

Download Image

The RISE Project @RISE_Projectuk

4 years ago

Datasets have to be all inclusive, in healthcare bias can cause great harm to under represented populations.

0 0 1 0 0

Judy Gichoya @judywawira

4 years ago

Sharing our work published in @bmj_latest on "Equity in essence: a call for operationalising fairness in machine learning for healthcare" .. We review Fairness in recently piublished guidelines and there is sparse information here informatics.bmj.com/content/28/1/e…

1 12 29 0 6

Download Image

The RISE Project @RISE_Projectuk

4 years ago

The variation of skin tones among people from Africa is more diverse than across all non-African people groups, how can the Fitzpatrick scale accurately capture this diversity? genomebiology.biomedcentral.com/articles/10.11…

0 0 2 0 0

The RISE Project @RISE_Projectuk

4 years ago

"...funders, regulators, policy makers, and politicians need to make it a requirement for creators of digital health solutions to provide assurance that these technologies will be able to perform across different populations and settings". thelancet.com/journals/landi…

0 0 0 0 0

The RISE Project @RISE_Projectuk

4 years ago

From dermatology to mammography, inclusive datasets are essential in ensuring technological works for all.

0 0 1 0 0

The RISE Project @RISE_Projectuk

4 years ago

“if you have a noisy data set and a bunch of models you’re trying out, and you’re going to deploy them in the real world,” you could end up selecting the wrong model. technologyreview.com/2021/04/01/102…

0 1 0 0 0

The Alan Turing Institute @turinginst

4 years ago

#AIUK: Our inspiring panel of #STEM, #diversity & #ethics experts reflect on responsible AI in research and discuss ways the #AI & #DataScience community can do better With Anjali Mazumder @shakir_za @DaniCMBelg @mariadearteaga and @haldaume3 📺 WATCH: bit.ly/3cAuLrY

0 13 43 0 2

Download Image

The RISE Project @RISE_Projectuk

4 years ago

"AI tools will perform only as well as the models & data they are trained on. One of the most critical barriers on that front is access to raw data that are ethnically, racially, and otherwise diverse." Here to contribute in making diverse data accessible hms.harvard.edu/news/more-inte…