19.03-20.03.2024
Eirini and Arjun attended the AI Fairness Cluster Inaugural Conference & Workshop on AI Bias and presented our work on multi-dimensional discrimination.
29.02-01.03.2024
Eirini attended the kick-off meeting of the DFG scientific network “Digital Bioethics” in Hannover and gave a talk on responsible AI.
27.01.2024
Our paper “Towards Cohesion-Fairness Harmony - Contrastive Regularization in Individual Fair Graph Clustering” has been accepted at PAKDD 2024. Congrats Siamak!
01.01.2024
CFP for the Research Track of ECML PKDD is out! Please share and submit!
23.12.2023
During the winter trimester we offer a lecture on AI and a seminar on AI/ML focusing on AI in games!
13.12.2023
We our happy to welcome our invited speaker Gerhard Wunder for the CODE colloqium Eirini is co-organizing!
01.11.2023
Tobias Callies joined our group in Munich and will focus his research on XAI for dynamic data. Welcome aboard Tobias!
22.11.2023
We our happy to welcome our invited speaker Arthur Zimek for the CODE colloqium Eirini is co-organizing!
7-8.11.2023
Swati and Arjun will attend the 2nd GA meeting of the MAMMoth project in Bologna!
20.10.2023
New pre-print on fairness-aware multi-task learning!
22-27.10.2023
Eirini and Chethan will attend the Dagstuhl seminar 23431 Network Attack Detection and Defense – AI-Powered Threats and Responses!
16.10.2023
Tai successfully defended his Ph.D. thesis, entitled “Fairness-aware Machine Learning in Educational Data Mining”, at the Leibniz University Hannover. Congrats Tai!
10-12.10.2023
Eirini, Chethan, Kostas and Vivek will attend the 2nd GA meeting of the STELAR project in Eindhoven.
10.2023
This trimester we offer a lecture on Responsible AI, a seminar on responsible generative AI and a lab on various AIML topics!
22.09.2023
BIAS workshop day at ECMLPKDD 2023 in Turin, Italy. Program is online!
06-08.09.2023
Manolis is organizing the 19th EAWE PhD seminar in Hannover.
01.09.2023
Eirini will be a program co-chair for ECML PKDD 2024.
01.09.2023
Abheek Dhingra joined our group in Munich and will work on the DFG Hephaestus project. Welcome aboard Abheek!!
8.2023
Our paper “RHALE Robust and Heterogeneity-aware Accumulated Local Effects” has been accepted at the ECAI 2023. Congrats Vasilis!
8.2023
Our paper “Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning” has been accepted at the DynXAI workshop, at ECMLPKDD 2023. Congrats Manolis!
8.2023
Our paper “Regionally Additive Models Explainable-by-design models minimizing feature interactions” has been accepted at the XAI-uncertainty workshop, at ECMLPKDD 2023. Congrats Vasilis!
27.07.2023
Our paper “Studying Bias in Visual Features through the Lens of Optimal Transport” has been accepted at the journal track of ECML PKDD 2023. Congrats Simone and the rest of the team!
10-14.07.2023
Chethan and Kostas are attending the 4th ACM Europe Summer School on Data Science in Athens.
04.07.2023
Prof. Kate Smiles will give an invited talk on “Stress-testing Algorithms via Instance Space Analysis” in our group.
21.06.2023
Eirini will give a keynote on Bias in AI Systems at IEEE ICCNS 2023.
12.07.2023
Eirini is organizing a Workshop on Challenges and Opportunities of AI as part of the CODE-Jahrestagung 2023.
01.07.2023
Vivek Kumar joined our group in Munich, he will work on knowledge augmentation in NLP to overcome bias in the STELAR project! Welcome Vivek!
12-15.06.2023
Jan presents at FACCT23 our joint paper “Multi-dimensional discrimination in Law and Machine Learning – A comparative overview”.
01.06.2023
Arjun Roy joined our group in Munich, he will work on intersectional discrimination funded by the MAMMOTH project! Welcome Arjun!
30-31.05.2023
Eirini and Swati participated in the 2nd plenary meeting of the MAMMOTH project in Nicosia, Cyprus. An excellent opportunity to present our work and exchange with other partners on aspects of multi-dimensional discrimination.
25-28.05.2023
Tai participated in the PAKDD 2023 conference in Osaka, Japan and presented his work “Multi-fair capacitated students-topics grouping problem”.
01.05.2023
Eirini is co-organizing the BIAS workshop at ECMLPKDD 2023 in Turin, Italy. CFP is online!
01.05.2023
Eirini gave a talk on responsible AI at the Club of Greek Academics in Munich!
01.05.2023
Swati Swati joined our group in Munich, she will work on multimodal fairness in the MAMMOTH project! Weclome Swati!
27-28.04.2023
Eirini, Arjun attended Bias and Discrimination in Algorithmic Decision-Making (BIAS) conference in Hannover, Germany and presented their work!
08.04.2023
Our paper “Multi-dimensional discrimination in Law and Machine Learning – A comparative overview” has been accepted at FACCT23. Congrats Arjun and Jan!
06.04.2023
Our paper “Affinity Clustering Framework for Data Debiasing using Pairwise Distribution Discrepancy” has been accepted at European Workshop on Algorithmic Fairness (EWAF 23). Congrats Siamak!
04.04.2023
Our paper “Explainable AI-based Generation of Offshore Substructure Designs” has been accepted at ISOPE-2023. Congrats Emmanouil!
01.04.2023
Kostantinos Zacharis joined our group in Munich and will focus his research on generative AI. Welcome aboard Kostas!
01.03.2023
Chethan Krishnamurthy Ramanaik joined our group in Munich and will focus his research on generative AI. Welcome aboard Chethan!
21.02.2023
Our paper “Multi-fair capacitated students-topics grouping problem” has been accepted at PAKDD 2023 conference. The arvix version is here . Congrats Tai!
20.02.2023
Our article “A survey on datasets for fairness-aware machine learning” is among the top cited papers of the WIREs Data Mining and Knowledge Discovery in 2021-2022.
14-16.02.2023
Tai participated in the 3rd LernMINT graduate school retreat in Barsinghausen. A nice opportunity to discuss research and exchange with other PhDs and PIs.
12.02.2023
A preprint of our comparative overview on multi-dimensional discrimination in Law and ML” is available online.
27.01.2023
Our articles “Bias in data-driven artificial intelligence systems - An introductory survey” and “A survey on datasets for fairness-aware machine learning” were the top 10 downloaded articles in 2022 of the WIREs Data Mining and Knowledge Discovery journal.
09.01.2023
Winter Trimester started at UniBw. We are offering a lecture on AI and a seminar on MOO optimization at the Cybersecurity master.
23.11.2022
Our book chapter “A review of clustering models in educational data science towards fairness-aware learning” has been accepted for publication in the book “Educational Data Science - Essentials, Approaches, and Tendencies – Proactive Education based on Empirical Big Data Evidence”, by Springer Book series “Big Data Management” . Congrats Tai!
02.11.2022
Our paper “AdaCC-cumulative cost-sensitive boosting for imbalanced classification” accepted at KAIS journal is finally online.
27-28.09.2022
The kick-off for project “STELLAR - Spatio-TEmporal Linked data tools for the AgRi-food data space” took place in Athens.
19-23.09.2022
Arjun, Eirini and Tai attended ECMLPKDD 2022 in Grenoble, France and presented their work!
01.09.2022
Our paper “A survey on bias in visual datasets” (arXiv version) has been accepted at the Computer Vision and Image Understanding journal. Congrats Simone!
23.08.2022
Our paper “Power of Explanations - Towards automatic debiasing in hate speech detection” has been accepted at DSAA 2022. Congrats Yi!
01.08.2022
Eirini joined UniBw-M and RI CODE and the AIML group moves to Munich with some of our members working remotely from Berlin and Hannover. More in the interview.
29.07.2022
Florian Mies presents his master thesis on continual learning for non-stationary data, please join online.
25.07.2022
Our article on bias in data-driven AI-systems was among the top cited of WIREs Data Mining and Knowledge Discovery for 2021.
21.07.2022
Our paper “Evaluation of group fairness measures in student performance prediction problems” (arXiv version) has been accepted at SoGood workshop , co-located with ECML PKDD 2022 . Congrats Tai!
15.07.2022
Open Ph.D. or Postdoc position (E13/14, 100%) on multi-fairness-aware learning.
08.07.2022
Our paper “Parity-based Cumulative Fairness-aware Boosting” (arXiv version) has been accepted at KAIS journal . Congrats Vasilis & Arjun!
02.07.2022
We participate at the Long Night of the Sciences @FUB with Kallikrates, the AI architect for wind turbine substructure design. Come and visit our stand.
26.06.2022
Two new papers on arXiv! One on fairness etc requirements for the students to topics grouping problem, and one on the effect of spatial context for fairness.
16.06.2022
Our paper “Learning to Teach Fairness-aware Deep Multi-task Learning” (arXiv version) has been accepted at ECMLPKDD 2022. Congrats Arjun!
17.06.2022
Eirini gave a talk titled “Responsible social-media based collective intelligence” at the EuADS Summer School – Data Science for Social Media in Luxembourg.
23.05.2022
Eirini gave a talk titled “AI in the wild” at the lecture series “Women in Mathematics and Computer Science” at FUB.
24.05.2022
Eirini gave a talk on xAI at the “ZVKI on the road event.
18.05.2022
Eirini gave a talk titled “AI in the wild” at the HeiCADLecture series at the Heine Center for Artificial Intelligence and Data Science at Heinrich Heine University Düsseldorf.
4.2022
The project “STELLAR - Spatio-TEmporal Linked data tools for the AgRi-food data space” was accepted under the “HORIZON-CL4-2021-DATA-01” call.
4.2022
The project “MAMMOTH - Multi-Attribute, Multimodal Bias Mitigation in AI Systems” was accepted under the “HORIZON-CL4-2021-HUMAN-01” call.
21-25.03.2022
Eirini participates in Fairness in Algorithmic Decision Making - A Domain-Specific Approach at Lorentz Center.
14.03.2022
Check out the proceedings & talks of the 2nd BIAS Workshop @ ECMLPKDD2021.
3.2022
Looking forward to SoSe@FUB. This semester we offer an AI lecture, a seminar on generative models and a lab on AI/ML topics.
24-26.02.2022
Eirini co-organizes the 1st Greek ACM-W Chapter Winter School Fairness in AI. Videos of the talks are available online!
25.01.2022
Our paper “A survey on datasets for fairness-aware machine learning” has been accepted at WIREs Data Mining and Knowledge Discovery journal. See related material.