From 7 p.m. on site and via livestream, the event series "Digitaler Salon
" of the Humboldt Institute for Internet and Society (HIIG) will discuss discrimination in medical datasets, what consequences it has and how it can be solved. Katharina Mosene
will introduce the topic.
Moderation: Katja Weber
(radioeins/rbb, Deutschlandfunk Nova).
Information on further guests will follow.
About the Event
Why are AI models for breast cancer screening mainly trained on biological male bodies, although 99% of all diagnoses concern biological female bodies? And why are Black, Indigenous and/or People of Colour (BIPoC) hardly represented or sometimes not represented at all in dermatological studies despite medically relevant factors? Lack of gender-specific health research, biased training of professionals, implicit biases and generalised criteria influence medical decisions. All this affects the diagnosis and treatment of patients and promotes inequities in the health system. How big the gender data gap in medicine really is and how we can fight discrimination in medical data sets will be discussed in the august edition of the Digital Salon. The event will be held in German.
Admission on site from 6:30 p.m. onwards. The programme will be broadcast live on the HIIG website
from 7 p.m. Viewers can participate - via Twitter or Slido using #DigitalerSalon.
Registration is not required for the event.
The Digital Salon takes place on the last Wednesday of every month with a different theme. You can find recordings of past Digitale Salons and more information about them here