Does under-representation always cause algorithmic bias and does collecting more data on the minority group always solve the problem? Our recent results show that it can be the opposite:
arxiv.org/abs/2306.05068
@SamiZhioua
@WiMLDS_Paris
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Ruta Binkyte
9 posts
Ruta Binkyte
@RutaBinky
Post Doctoral Researcher at CISPA Helmholtz Center for Information Security #fairness #causality #AI
Paris, France Katılım Ağustos 2018
56 Takip Edilen35 Takipçiler
Ruta Binkyte retweetledi
@RutaBinky introduced some nuance in the equality/fairness paradigm tonight ! Thank you for the clear presentation #WiMLDS
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Ruta Binkyte retweetledi
Thank you @botify for hosting us 💜
Thank you @delonju @RutaBinky and Francesca, you rocked ! #WiMLDS #WiMLDSParis … and thank you @Mizar83 for being here🩵
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Ruta Binkyte retweetledi
.@RutaBinky introduces @jovialjoy & @timnitGebru ´s work on facial recognition. #WiMLDSParis #WiMLDS #Bias
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Ruta Binkyte retweetledi
Our last paper: Questioning causality on sex, gender and COVID-19, and identifying bias in large-scale data-driven analyses: the Bias Priority Recommendations and Bias Catalog for Pandemics arxiv.org/abs/2104.14492 @ptubaro @raja_chatila @bakkali_wafae @RuBin10755608 et al.
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Ruta Binkyte retweetledi
Happy birthday to the World Wide Web! It's been 30 years of digital transformation, and the OII is committed to making sense of these changes for the public good 💻 #Web30
Vicki Nash@VickiNashOII
Celebrating 30 years since @timberners_lee wrote the proposal for what became the WWW. Happy birthday to a technology that showed us the best (and perhaps the worst!) of what the Internet could deliver to the 4.2 billion people now connected.
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