
Nassim
@nassimso
Postdoc @CIFellows @Brown_DSI
Ph.D. @cuinfoscience #RecSys #FAccT
ID: 3383814022
19-07-2015 23:26:42
198 Tweet
433 Followers
977 Following

Our team at IBM Research is excited to announce inFairness - the first open-source Python library for Individual Fairness in AI. GitHub: github.com/IBM/inFairness Website: ibm.github.io/infairness A 🧵on what the library offers and the functionalities implemented within it.


Deadline Extension on the Fair Recommendation 2022 workshop! Register your abstracts by EoD today! The paper submission deadline is on 08/11 EoD! Looking forward to your submissions! For more info: facctrec.github.io/facctrec2022/ #FAccTRec2022 #FAccT #Recsys2022 ACM RecSys RecSys Wiki

Excited to announce that Dr. Lu Zhang will be the Fair Recommendation workshop keynote speaker this year. The title of the talk is “Causality-based Fair Machine Learning for Sequential Decision Making.” Looking forward to meeting you all! #FAccTRec2022 #Recsys2022 ACM RecSys RecSys Wiki


We'd like to express our thanks for the cooperation of the fair RecSys community: @mdekstrand Robin Burke Pierre-Nicolas Schwab, weird science in the noise Nassim Luca (also on the other platforms) and @rajamifa


First time in-person co-organizers of Fair Recommendation! Lots of fun, interesting talks and a curious audience! #recsys2022


I really enjoyed attending #RecSys2022 this past week and enjoyed co-organizing the Fair Recommendation workshop with しましま amifa raj Robin Burke Luca (also on the other platforms) @mdekstrand (while keeping up with Iran's stressful news)! Hoping for the best & see you next year in Singapore!✌🏼#recsys2023


There is one last #RecSys2022 event, at least for the #WomenInRecSys. We invite you all to a virtual meetup on Wed 28th of, September at 17:00 CEST. The link is the same as for the keynote series. If you don't have it yet, send a quick email to [email protected]








