Sr Principal Researcher, Microsoft Research, NYC. Machine learning transparency, intelligibility, fairness. WiML co-founder. NeurIPS 2021 Program Co-Chair.
Jul 12, 2022 • 7 tweets • 2 min read
It's been 5 months since I tweeted about burnout. I'm happy to say I've kept my burnout level low. 🥂
Since my original thread seemed to resonate, I thought I'd share some things that have made a difference for me, acknowledging I'm lucky to have an unusually flexible job. (1/n)
- Continuing to aggressively block focus time. I block out a couple hours every day and aim for one full day a week, though it doesn't always happen.
- Allowing myself to use some of that focus time to work on what I feel like in the moment instead of what's most "urgent." (2/n)
Jun 8, 2022 • 7 tweets • 4 min read
So excited I can FINALLY share our new work on machine learning practitioners' data documentation perceptions, needs, challenges, and desiderata, which will appear in #CSCW2022!
Joint work w/ @AmyHeger, @lizbmarquis, @mihaela_v, and @hannawallach 1/n
Data is central to the development & evaluation of ML models. Using problematic or inappropriate datasets can lead to harms.
Data documentation frameworks like datasheets & data nutrition labels were proposed to encourage transparency and deliberate reflection on datasets. 2/n
Feb 4, 2022 • 6 tweets • 2 min read
I want to talk about burnout. A brief 🧵...
I was well aware I was burnt out in the fall, but it's hard to fully appreciate the impact of burnout in the moment.
After 2 weeks of vacation and a month of aggressively blocking daily focus time, the impact has become more clear:
- I am less angry. This is huge.
- I feel less like every situation is adversarial, more willing to give people the benefit of the doubt.
- I feel less threatened by other people's actions, more in control of my own outcomes.
- I feel optimistic about those outcomes. (2/n)
Jan 8, 2020 • 4 tweets • 4 min read
Ok, people! Are you looking for something to read at the intersection of machine learning and HCI?
Three new papers posted online today that you should check out, all with my amazing colleague/BFF @hannawallach!
Ready? I'm gonna try a thread!
@hannawallach #1 Our upcoming book chapter/survey/position paper/labor of love on "A Human-Centered Agenda for Intelligible Machine Learning"