🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

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/accep… for the full list

Check out our pre-print reporting on another great #recsys cooperation between JKU - Johannes Kepler Universität Linz and Know Center - looking forward to interesting discussions at ACM RecSys in Bari this October #recsys2024

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… written by Know Center TU Graz and SGS

Congrats Jana Lasser for your European Research Council (ERC) project on Designing Social Media Recommendation Algorithms for Societal Good (DeSiRe) - looking forward to collaborating on this #recsys TU Graz Uni Graz/University of Graz Know Center

And now Robin Burke prompts us to think about (content) providers #CDLRecSys TU Wien Collaborating with #AI workshop

Nice! "Challenges in Implementing a Recommender System for Historical Research in the Humanities" w/ Florian Atzenhofer-Baumgartner Georg Vogeler Prof. Christoph Trattner Bernhard Geiger from Know Center Uni Graz/University of Graz TU Graz Research Centre for Responsible Media Technology is accepted at #AltRecSys at ACM RecSys #recsys2024

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 normalize-workshop.bsky.social at ACM RecSys #recsys2024 - Arxiv preprint: arxiv.org/abs/2409.17769

Now also available in the ACM RecSys proceedings: dl.acm.org/doi/10.1145/36… Know Center TU Graz JKU - Johannes Kepler Universität Linz - see you next week in Bari at #recsys2024

Also with 3 contributions by Know Center 's FAIR-AI research area on Thursday and Friday - stay tuned and see you all at #recsys2024 : )

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 ACM RecSys - poster is also available here: lnkd.in/dSB4p2FN

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

Here is also the extended version as arXiv.org : arxiv.org/abs/2410.20909

"Establishing and Evaluating Trustworthy AI: Overview and Research Challenges" accepted for publication in "Towards Fair AI for Trustworthy Artificial Intelligence" research topic of Frontiers in AI & Big Data - preprint: arxiv.org/abs/2411.09973 Know Center TU Graz Uni Graz/University of Graz #sgs #fairai

Our paper on #trustworthyai and #fairai is finally published Know Center TU Graz Uni Graz/University of Graz

PROCEEDINGS CLAXON We are proud to share the proceedings of the second edition of the NORMalize workshop at ACM RecSys. We share 6 papers that address the normative design & evaluation of recommender systems, each taking a different perspective: ceur-ws.org/Vol-3898/ #RecSys

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 ACM RecSys are out: ceur-ws.org/Vol-3898/

Please send an email to [email protected] if you want to join our #reproducibility and #ai workshop in Berlin

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

Yesterday, TIER2 hosted a workshop on reproducibility and AI in Berlin. The facilitators were Tony Ross-Hellauer (Tony Ross-Hellauer), Dominik Kowald (Dominik Kowald) (Know Center), Alexandra Bannach-Brown, PhD, Vince Madai (Charité - Universitätsmedizin Berlin).

"#Reproducibility in #machinelearning-based research: Overview, barriers, and drivers" finally published in AAAI's #aimagazine --> doi.org/10.1002/aaai.7…