Research Area Manager - FAIR-AI @Know_Center, PhD in computer science from @tugraz, #recsys #trustworthyai
Graz, Österreich
Joined June 2014
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Exactly 12 years after defending my Master's thesis, I am very happy to have been awarded my venia docendi at @tugraz. Thanks to the committee, rectorate, all reviewers, and my colleagues, especially at @Know_Center. My habilitation is available here: shorturl.at/nMc58
"#Reproducibility in #machinelearning-based research: Overview, barriers, and drivers" finally published in @RealAAAI's #aimagazine --> doi.org/10.1002/aaai.70002
Dominik Kowald retweeted
Yesterday, TIER2 hosted a workshop on reproducibility and AI in Berlin. The facilitators were Tony Ross-Hellauer (@tonyR_H), Dominik Kowald (@dkowald1) (@Know_Center), Alexandra Bannach-Brown, PhD, Vince Madai (@ChariteBerlin).
Happy to announce that "Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers" has been accepted for publication in the AI Magazine #reproducibility #ai #machinelearning --> arxiv version: arxiv.org/abs/2406.14325
Please send an email to [email protected] if you want to join our #reproducibility and #ai workshop in Berlin
On 25 March, TIER2 is hosting a workshop on Reproducibility and AI as part of the Berlin University Alliance’s event "Yes, we are open! Designing Artificial Intelligence Responsibly".🤖
🔗Learn more: tier2-project.eu/news/tier2-…
Dominik Kowald retweeted
How can recommender systems be designed with norms and values in mind? This is a central question in our workshop series NORMalize: The Workshop on the Normative Design and Evaluation of #RecSys.
The proceedings of our 2024 workshop @ACMRecSys are out: ceur-ws.org/Vol-3898/
New Research: Establishing and evaluating trustworthy AI: overview and research challenges frontiersin.org/articles/10.… #FrontiersIn #BigData
"Establishing and Evaluating Trustworthy AI: Overview and Research Challenges" accepted for publication in "Towards Fair AI for Trustworthy Artificial Intelligence" research topic of @FrontAIBigData - preprint: arxiv.org/abs/2411.09973 @Know_Center @tugraz @UniGraz #sgs #fairai
Here is also the extended version as @arxiv : arxiv.org/abs/2410.20909
Nice! "Challenges in Implementing a Recommender System for Historical Research in the Humanities" w/ Florian Atzenhofer-Baumgartner Georg Vogeler @ctrattner @BernhardGeiger from @Know_Center @UniGraz @tugraz @SFIMediaFutures is accepted at #AltRecSys at @ACMRecSys #recsys2024
Dominik Kowald retweeted
Presented our demo at #ECAI2024 on "AI-Powered Immersive Assistance for Interactive Task Execution in Industrial Environments" which explores AI & VR for industrial machine operation support! 🚀
Part of the COMET DDIA project @Know_Center. Check it out: shorturl.at/sLlrE
Highly recommended if you want to know about our results on the effect of feedback loops on country representations in recommendations and user profiles #recsys2024 @ACMRecSys - poster is also available here: lnkd.in/dSB4p2FN
Final preparations for the poster presentation @ACMRecSys #RecSys2024
Drop by to say hi today!
Paper: dl.acm.org/doi/10.1145/36404…
Also with 3 contributions by @Know_Center 's FAIR-AI research area on Thursday and Friday - stay tuned and see you all at #recsys2024 : )
Ciao a tutti, buongiornio #RecSys2024!
We are looking forward to a beautiful day of RecSys'ing, with our workshops and tutorials.
We will start at 09:00. If you haven't made up your mind about where to go, now is the time to check out the program: recsys.acm.org/recsys24/prog…
Now also available in the @ACMRecSys proceedings: dl.acm.org/doi/10.1145/36404… @Know_Center @tugraz @jkulinz - see you next week in Bari at #recsys2024
Representation of domestic music in recommendations, feedback loops
Our “Oh, Behave! Country Representation Dynamics Created by Feedback Loops in Music Recommender Systems” is accepted at #recsys2024
Preprint: arxiv.org/abs/2408.11565
J. Geiger, M. Walder, @dkowald1, @m_schedl
Happy to announce that "Value Identification in Multistakeholder Recommender Systems for Humanities and Historical Research: The Case of the Digital Archive Monasterium net" was accepted by @NORMalizeWS at @ACMRecSys #recsys2024 - Arxiv preprint: arxiv.org/abs/2409.17769
Nice! "Challenges in Implementing a Recommender System for Historical Research in the Humanities" w/ Florian Atzenhofer-Baumgartner Georg Vogeler @ctrattner @BernhardGeiger from @Know_Center @UniGraz @tugraz @SFIMediaFutures is accepted at #AltRecSys at @ACMRecSys #recsys2024
Dominik Kowald retweeted
And now @rburke2233 prompts us to think about (content) providers #CDLRecSys @tu_wien Collaborating with #AI workshop – at Vienna, Austria
Congrats @janalasser for your @ERC_Research project on Designing Social Media Recommendation
Algorithms for Societal Good (DeSiRe) - looking forward to collaborating on this #recsys @tugraz @UniGraz @Know_Center
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Check out our six white papers on #trustworthyai investigating (i) human agency & oversight, (ii) fairness, (iii) transparency & explainability, (iv) robustness, (v) privacy & security, and (vi) accountability: doi.org/10.5281/zenodo.11207… written by @Know_Center @tugraz and SGS
Check out our pre-print reporting on another great #recsys cooperation between @jkulinz and @Know_Center - looking forward to interesting discussions at @ACMRecSys in Bari this October #recsys2024
Representation of domestic music in recommendations, feedback loops
Our “Oh, Behave! Country Representation Dynamics Created by Feedback Loops in Music Recommender Systems” is accepted at #recsys2024
Preprint: arxiv.org/abs/2408.11565
J. Geiger, M. Walder, @dkowald1, @m_schedl
Dominik Kowald retweeted
Sometimes... we write good papers and have luck -- and the reviewers -- on our sides 🌈 CONGRATULATIONS to the authors of accepted short papers 🤩 See you at #RecSys2024.
👉 recsys.acm.org/recsys24/acce… for the full list
Dominik Kowald retweeted
Our demo got paper accepted at @ecai2024 , "AI-Powered Immersive Assistance for Interactive Task Execution in Industrial Environments," by @djurazzi, @mullner_peter, Nicole Weidinger, Neven El Sayed, @dkowald1 , and Eduardo Veas. @Know_Center Preprint: arxiv.org/abs/2407.09147