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What and Who

Learning Lunch: The Gender Data Gap - And its Implications for Data-Driven Decision Making

Meike Zehlike
Zalando Research
Talk

I am a Senior Applied Scientist at Zalando Research in the Algorithmic Privacy and Fairness team, and an ethical AI consultant. I earned my Ph.D. in computer science at Humboldt Universität zu Berlin in 2022, working under Ulf Leser (HU), Carlos Castillo (UPF Barcelona), and Krishna Gummadi (MPI-SWS Saarbrücken). For my PhD research I have received several grants and awards such as the Data Transparency Lab Research grant, the Google Women Techmaker Award, and the Humboldt Award for outstanding dissertations. My interests center around artificial intelligence and its social impact, translating ethics into math, and operationalizing ethical AI principles in e-commerce contexts.
AG 1, AG 2, AG 3, INET, AG 4, AG 5, D6, SWS, RG1, MMCI  
Public Audience
English

Date, Time and Location

Thursday, 30 March 2023
11:30
60 Minutes
E1 4
024
Saarbrücken

Abstract

"Most of recorded human history is one big data gap. [...] [T]he chroniclers of the past have left little space for women's role in the evolution of humanity, whether cultural or biological. Instead, the lives of men have been taken to represent those of humans overall. When it comes to the lives of the other half of humanity, there is often nothing but silence. And these silences are everywhere. [...] Films, news, literature, science, city planning, economics. [...] This is the gender data gap." -- Criado Perez

In this talk I will cover different examples on how the gender data gap creates a world that disadvantages women in ways ranging from inconveniences to outright life-threatening dangers. And we will see how data-driven decision making has the potential to amplify the problem.

Contact

Iris Wagner
+49 681 9325 3500
--email hidden

Virtual Meeting Details

Zoom
632 9191 3918
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Iris Wagner, 03/21/2023 14:11
Iris Wagner, 03/03/2023 14:28 -- Created document.