Did you participate in our Community Pulse? The results are out, showing that representation is not enough for an inclusive workplace experience. Thanks to all contributors @blackinai.bsky.social @queerinai.com and many others!

So happy to see this project come to a milestone! In 2023, multiple affinity groups surveyed the AI community about their workplace experience. We have now written a paper on its outcomes. We are very grateful to all participants, supporters and contributors. arxiv.org/abs/2506.04305

Exciting update: there are multiple positions open on the Responsible AI team at GSK London UK, with a mix of applied research, foundational research and engineering. Apply here: jobs.gsk.com/en-gb/jobs/4...

🎓 💫 We are opening post-doc positions at the intersection of AI, data science, and medicine:
• Large Language Models for French medical texts
• Evaluating digital medical devices: statistics and causal inference

Inspired by @wimlds.bsky.social , I looked for a "Women in Machine Learning" starter pack and couldn't find one.
So I created one! May have some mistakes. I'll try to do an AI ethics one next. 🤗
go.bsky.app/LT6CwNN

Data balancing for fairness: when does it work? When does it not?

"Mind the Graph When Balancing Data for Fairness or Robustness"

#NeurIPS2024 West Ballroom A-D #5507
Fri 13 Dec 11 a.m. PST — 2 p.m. PST

neurips.cc/virtual/2024...

🎊 Excited to share the program for our Algorithmic Fairness through the lens of Metrics and Evaluation workshop at #NeurIPS2024!

📆 Join us Sat, Dec 14 for a day full of discussions on all things fairness and bias! We have a great program planned.

To start, see our amazing list of speakers:👇

Going to @neuripsconf.bsky.social ? I’ll be at WiML, Black in AI and AFME workshops, and present work on whether balancing data for fairness is always beneficial (poster 5507 on Friday at 11am). Catch me if you’re interested in AI fairness! :)