Rachel Thomas, Discover and Read the Best of Twitter Threads by @math_rachel

Rachel Thomas

math_rachel

I took a twitter break for a while, b/c I’d been repeating myself for 2+ years about masks, post-viral disability, etc. My family will be avoiding unmasked, in-person situations for

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

Ethnographic study that interviewed 26 responsible AI practitioners. Prevalent at many orgs:- reactive, respond only to external pressure- ill-informed performance trade-offs- lack of accountability- misalignment btwn team & individual

Videos from @StanfordAIMI Symposium are up! I spoke on why we need to expand the conversation on bias & fairness.I will share some slides & related links in this THREAD,

- The folks who can't take covid seriously until someone they know dies- The CEOs who don't care about workplace sexism until they have a daughter- The politicians who don't

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

Important work is happening in *Participatory ML* and in recognizing that AI ethics is about the *distribution of power*. I want to create a thread linking to some of this

"For far too long, we've been told that if something is technologically feasible, it is inevitable. Technology can act as an accelerant to some of our worse impulses & to

If the idea of tech not being neutral is new to you, or if you think of tech as just a tool (that is equally likely to be used for

In Facebook recommendation system, super-sharers drown out less-active users. Super-sharers are more likely to be hyper-partisan & engage in spam-like waysFacebook execs pushed back on proposal to reduce super-sharer influence

Consider this in conjunction with efforts to get people to join Facebook Groups: "If you’re diagnosed with a rare disease, you can join a group and connect with people with

Some folks are uncritically arguing that only *architectures* matter in deep learning, not datasets nor anything else (So Fei-Fei Li creating ImageNet didn't contribute much )This narrow tunnel focus is