But embedded within these models are ahost of assumptions, some of them prejudicia
The models cannot be free from bias because humans build them.
12 Matching Annotations
- Feb 2026
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of course they are - we can argue with people, but not with algorithms
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They define their own reality.
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The crash made it all too clear that mathematics, once my refuge, wasnot only deeply entangled in the world’s problems but also fueling manyof them. The housing crisis, the collapse of major financial institutions,the rise of unemployment—all had been aided and abetted bymathematicians wielding magic formulas. What’s more, thanks to theextraordinary powers that I loved so much, math was able to combinewith technology to multiply the chaos and misfortune, adding efficiencyand scale to systems that I now recognized as flawed
This, to me, is the thesis of this week's readings. The power that data has, and its multiplied chaos thanks to tech is something we need to teach to everyone - not just Ph.D. students.
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we still use them to make really important decisions every day.”these unregulated tools can harm individu-als and society, causing anxiety, unneces-sary medical expenses, stigmatization and worse. “It’s the Wild West of genetics,” says Erin Demo, a genetic counsellor at Sibley Heart Center Cardiology in Atlanta, Georgia. “This is just going to get harder and harder.”Bellenson posted his app on GenePlaza, an online marketplace for DNA-interpretation tools, in early October. For US$5.50, a person could upload their genetic data — as supplied by consumer DNA sequencing companies such as 23andMe of Mountain View, Califor-nia — and the app would place them along a Nature | Vol 574 | 31 October 2019 | 609©2019SpringerNatureLimited.Allrightsreserved.©2019SpringerNatureLimited.Allrightsreserved.
In the long run, making bad decisions for your business, whatever it is, will not be good for that business. How do we stop looking at perceived short-term gains and look to improvement for the long term?
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society
exactly.
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help
Infuriating.
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providers
Yes. When people are not treated early for things, they get worse, and then it costs more to treat them.
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hem,
so how can we talk to our representatives to create laws that forbid the companies creating these algorithms from keeping them secret?
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The power we have to discriminate on so many levels is terrifying.
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After watching the TED talk, this doesn't surprise me. Now I will be looking for the layers whenever presented with a new data point that is supposed to improve "efficiency." I wonder how much power we give to data in our everyday lives without even knowing?
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- Jan 2026
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data-feminism.mitpress.mit.edu data-feminism.mitpress.mit.edu
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The idea of intersectionality is key in the research I aim to conduct - I would like to look at the intersection of ability and race and the identification of 2E students.
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