Toggle navigation
TWunroll
TWunroll
faq
Contact US
Rachel Thomas
math_rachel
In computational systems, we are often interested in unobservable theoretical constructs (eg "creditworthiness", "teacher quality", "risk to society"). Many harms are result of a mismatch between the constructs
Read more
Sadly, many folks love the idea of little girls coding, but don’t want to work with the adult women software engineers already at their company. There are similar dynamics around
Read more
Interested in improving diversity in AI, or in tech in general? I have done a bunch of research on this and have some advice 1/https://twitter.com/NandoDF/status/1341699449861627913 First, what doesn’t work: shallow,
Read more
I have long admired @timnitGebru for her brilliance, moral courage, clear voice in speaking up for what is right, & influential scholarship. It is truly terrible that Google would do
Read more
Reciprocity is a key part of life. Surveillance undermines reciprocity. Every time we opt for surveillance or extractive technology, we undermine reciprocity and relationship. -- @doxtdatorb #AgainstSurveillance Between 1971-1974, a
Read more
There has been some great work on framing AI ethics issues as ultimately about power.I want to elaborate on *why* power imbalances are a problem. 1/ *Why* power imbalances are
Read more
new free online course: Practical Data Ethics, from fast ai & @DataInstituteSF covering disinformation, bias, ethical foundations, privacy & surveillance, silicon valley ecosystem, and algorithmic colonialismcc: @craignewmarkhttp://
Read more
Things to know if you work on medical ML:- Medical data can be incomplete, incorrect, missing, & biased- Medical system is disempowering & often traumatic for patients- Crucial to involve
Read more
Here's my advice for creating an ergonomic computer setup ON A BUDGET. It doesn't have to be as expensive as you think. Don't destroy your back, neck, & wrists while
Read more
Structural racism can be combated only if there is political will, not more data. Ending racism has to begin and end with political will. Data, while helpful in guiding policy
Read more
Like @cfiesler, I've gotten a lot of "It's not the algorithm, it's the training data" explanations/responses over the years (including IRL when I give talks), and I want to explain
Read more
My #SciPy2019 keynote: The New Era of NLPhttps://www.youtube.com/watch?v=KChtdexd5Jo&list=PLtmWHNX-gukLQlMvtRJ19s7-8MrnRV6h6&index=4 A few myths about Deep Learning:- You need “big data”- You need lots of expensive computing pow
Read more
‹
1
2
›
By continuing to use the site, you are consenting to the use of cookies as explained in our
Cookie Policy
to improve your experience.
I agree