In my last post, I lamented a bit the potential for advanced technologies to reinforce existing biases at a quicker and larger scale, without either our awareness nor consent.

The issue of algorithmically detecting gender that I briefly mentioned is one that I’ve been struggling with this semester. Inferring gender can be crucial in revealing lags at publications and harmful disparities in behavior where diversity data is not provided, yet the act of classification can be morally and socially harmful.

Nathan Matias is a Ph.D student at the neighboring Civic Media Lab who has been a great ally in helping soften the steep learning curve of grad school and also in tackling gender/identity related projects. His master’s thesis work in Open Gender Tracker has led to many great posts on the Guardian’s Datablog.

Like a truly great friend, he not only answered my questions with regard to ethically detecting gender, he wrote a comprehensive blogpost about it. He highlights the practical realities of keeping work both computationally effective and ethically responsible. A must-read for anyone considering work in this area. Thank you Nathan!

Tags: , ,

· · · ◊ ◊ ◊ · · ·

twitter X MIT

01 Oct 2014

we’re launched!

Tags: , , ,

· · · ◊ ◊ ◊ · · ·

happy day

13 Mar 2014

Three years ago, I learned how to print Hello World in Java for the first time.
That semester, I stayed up many late nights crying because I was so frustrated with how hard it was for me to fix even the tiniest of bugs. Everyone in class seemed light-years above me.

Today, I have been accepted to MIT Media Lab’s MAS program, and I’ll be joining Deb Roy’s Cognitive Machines lab this fall. It’s truly a nerd dream come true.

I think if my mother taught me one thing,
it is that
it is not how successful you are
or how wealthy you are
or even how hard you work that matters.
what matters is how interesting you are
because that is your human value.

And mom, if you’re reading this, don’t read too hard into it.

Tags: ,

· · · ◊ ◊ ◊ · · ·