NEWS FROM THE INSTITUTE
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Why we need fewer men in computer science
There have been calls for more women in computer science for decades, but so far nothing has changed. Therefore, we claim that it is time to invert the call: we need fewer men in computer science! And here’s why.
Myth: AI will end discrimination
We approach the de-mystification of this claim by looking at concrete examples of how AI (re)produces inequalities and connect those to several aspects which help to illustrate socio-technical entanglements.
Siri’s evil sister. When the Dutch public service steals your data
“System Risk Indication” (SyRI) deployed by the dutch government for automatically detecting social benefit fraud. The program was shut down due to a severe lack in transparency and unproportional collection of data. This demonstrates how automating public services fails, when not properly implemented.
Why, AI?
Everyone talks about Artificial Intelligence (AI). But how does it change society? And how can we use it to help society? For that, we need to understand how AI works and how we can make it work for us. We need to get this right, because there is so much to get wrong. This is why we have put together this online learning space. We hope that with “Why, AI?” you learn a little more about how AI impacts the world. And how we need to change AI before it changes us…
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