First of our 3 papers presented by Dominik Kowald at ECIR 2023 #bias workshop on #accuracy , #miscalibration , and #popularity bias in #recsys
You can check out the paper from our #FairAI group here: arxiv.org/abs/2303.00400
Happy to announce that now all 10 articles (incl. editorial) of our 'Reviews in #recsys ' Frontiers in AI & Big Data research topic are online: frontiersin.org/research-topic…
Thanks to my co-editors Emanuel (former Know Center, now Infobip) and Deqing (@FudanUni), all authors, and reviewers
➡️This week's #TIER2Faces partner is Dominik Kowald from Know Center .
🔬Dominik is a researcher focused on #Recommender systems, #AI and #Reproducibility . Read more about his background below⬇️
Yesterday's great #demo session with Dominik Kowald was followed by an even better banquet diner! Made possible thanks to being #awarded with the support grant by ECIR 2023 !
Check out our #github repo to try it out by yourself: github.com/lacic/ECIR2023…
Paper: link.springer.com/chapter/10.100…
⚡️Check out our nature published article on 'Modelling the long-term fairness dynamics of data-driven targeted help on job seekers'.
👉nature.com/articles/s4159…
#fairai #aidiscrimiation #jobmarket #recommendersystems #DataDriven
Dominik Kowald Simone Kopeinik
Emilia Gomez Prof. Barry O'Sullivan, MRIA Will probably become even harder for niche music arrists and listeners interested in umpopular music styles
Next week, 👉Peter Müllner will present the paper 'The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias' at this year's ECIR2024. We are looking forward to exciting insights.
🔗To the paper: link.springer.com/chapter/10.100…
Elisabeth Lex Markus Schedl Dominik Kowald
📢First article published with TIER2 support is out on arXiv.org.
☑️Our very own Tony Ross-Hellauer, Dominik Kowald, together with their colleagues from Know Center & TU Graz published an article titled 'Reproducibility in Machine Learning-Driven Research'.
💡Article link in the quote tweet ⬇️
Dominik Kowald ECIR 2023 Elisabeth Lex Markus Schedl TU Graz Know Center This looks interesting....
Besides referring to my work w/Markus Schedl (published in 2019 in PLOS ONE; doi.org/10.1371/journa…), I also refer to work w/Dominik Kowald+Peter Müllner+Eva Zangerle +Elisabeth Lex+Markus Schedl (2021 in EPJ Data Science, doi.org/10.1140/epjds/…).
What are risks of AI in the job market or individual fairness vs. group fairness?
Some #keyinsights by Dominik Kowald from a recent presenation at the Wissenschaftsforum zu Köln und Essen
➡️ Find out more about our research when it comes to Fair AI. know-center.at
Congrats Sebastian Scher, Simone Kopeinik Andreas Trügler + Dominik Kowald! great work on #trustworthyAI
Dominik Kowald ECIR 2023 Elisabeth Lex Markus Schedl TU Graz Know Center Congrats, that's very nice!
Happy to announce that 'The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias' has been accepted at ECIR2024 'IR for Good' track.
Elisabeth Lex Markus Schedl Dominik Kowald Know Center
