#IntelligenteTechnischeSysteme der nächsten Generation durch #MaschinellesLernen. #Entwicklung zentraler #ML #Innovationen - nachhaltig und @BMBF_Bund gefördert

Joined June 2019
Photos and videos
ITS.ML retweeted
Andre Artelt applied DataSHAP to investigate the effect of training data samples on explanation. A paper with lovely theory and a nice case study using this to investigate group fairness. Interesting results.
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🎉Exciting News! Our own André Artelt & his @WaterFuturesERC colleagues just won the Best Poster 🏆 at the '#AI for Critical Infrastructure Workshop' @IJCAIconf, presenting the EPyT-Flow Toolbox!🧰 📜➡️arxiv.org/abs/2406.02078 🧑‍💻➡️@GitHub: github.com/WaterFutures/EPyT… Congratulations!
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Replying to @IJCAIconf
@IJCAIconf, the #XAI tutorial by our own André Artelt and @DrUlrikeKuhl, together with @keanema, is in session! It started with a history of counterfactuals in psychology and first basics of user studies, followed by computational foundations of computing counterfactuals.
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ITS.ML retweeted
It’s a wrap on the tutorial on #counterfactuals and user studies for #XAI @IJCAIconf. Anyone who’s curious: The materials (slides and code) are available @github: github.com/andreArtelt/IJCAI… For more info about the general program, visit sites.google.com/view/tut-co…
Replying to @IJCAIconf
@IJCAIconf, the #XAI tutorial by our own André Artelt and @DrUlrikeKuhl, together with @keanema, is in session! It started with a history of counterfactuals in psychology and first basics of user studies, followed by computational foundations of computing counterfactuals.
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ITS.ML retweeted
Replying to @IJCAIconf
I‘ve had a great time presenting the basics of how to run effective user studies to explore the usability of XAI! Anyone who’s curious: The materials (slides and code) are available @github: github.com/andreArtelt/IJCAI… ✨Thanks to everyone attending this full day program! ✨
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3 Aug 2024
#Tutorial At the T06: All You Ever Need to Know About Counterfactual Explanations: Fundamentals, Methods, & User Studies for XAI, with Ulrike Kuhl @DrUlrikeKuhl on the speaker's podium. sites.google.com/view/tut-co… #IJCAI2024
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ITS.ML retweeted
June 20 at 4:15pm, we welcome Nicole Ludwig to our lecture series "Robust AI" @unibielefeld.👏 Come along or join us online when she talks about "Assessing Climate Change Impacts: An ML Approach to Multi-Decadal Energy Forecasting".👩‍💻👍 ➡️More info here: sail.nrw/2024/06/lecture-ser…
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ITS.ML retweeted
#TrustworthyAI fans in and around #NRW: 📢Free in-person registration is still open! Expect exciting keynote talks by great experts, panels, posters, and networking opportunities at 🥷DataNinja sAIOnARA 2024 Conference 📅June 25-27 📍Bielefeld Details: dataninja.nrw/?p=2071
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ITS.ML retweeted
Please retweet🤓 We are organizing a special session on "Machine Learning in Critical Infrastructure" at @IEEEorg WCCI-2024 in Yokohama, Japan🇯🇵 Deadline📅 15.01.2024 Details: sites.google.com/view/wcci24… #WCCI2024 #IEEE #AI
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ITS.ML retweeted
📢Call for Papers! "Explainable Online Learning from Uncertain Data Streams" will be a Special Session @eais2024 in Madrid. Co-organized by SAIL member Daniel Leite, we would like to draw your attention to the CFP below.✍️🧑‍💼 ➡️More information here: sites.google.com/view/olud/h…
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ITS.ML retweeted
Researchers @FumagalliFabian and @Muschalik_Max from our subproject C03 will be attending @NeurIPSConf 2023 in #NewOrleans from December 10-16 . It’s the 36th onference on Neural Information Processing Systems. They'll be presenting a poster. See Fabian's thoughts 👀⬇
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Approx. one month left📅 to submit your work to WSOM 2024👇 hosted in beautiful Mittweida @hsmw forschung.hs-mittweida.de/en…

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📢Open #PhD position in @_davidsjohnson_'s new research group on "Human-Centric #Explainable #AI for Mental Health Assessment". 🔽🔽🔽
Excited to announce that my new research group, Human-Centered & Explainable AI, is starting in the new year at @CITEC_Bielefeld. This means I have a fully funded #PhD position to study the effect of #xai in AI-assisted decision-making. If interested 👉 uni-bielefeld.hr4you.org/job…
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🔥New @XAI_Research to be presented @NeurIPSConf #NeurIPS2023: We propose SHAP-IQ as a unified approximation of any-order Shapley Interactions! 📖Paper link: openreview.net/forum?id=IEML… ⚡️The highlights are in the🧵(1/5)!
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📢Reminder 👉 Upcoming Event: This week the hybrid workshop "Fundamental Limits of Large Language Models" will take place.🤩 See sites.google.com/view/sail-w… for further information.
📢SAIL event coming up: On Nov 23, a hybrid workshop on "Fundamental Limits of #LargeLanguageModels" will take place. The program will contain a series of invited talks by esteemed researchers around the world.🤩👏 ➡️Further information & registration: sites.google.com/view/sail-w…
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ITS.ML retweeted
📢SAIL event coming up: On Nov 23, a hybrid workshop on "Fundamental Limits of #LargeLanguageModels" will take place. The program will contain a series of invited talks by esteemed researchers around the world.🤩👏 ➡️Further information & registration: sites.google.com/view/sail-w…
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ITS.ML retweeted
Official version out now: Our #xAI23 paper "For Better or Worse: The Impact of Counterfactual Explanations’ Directionality on User Behavior" published @SpringerNature's CCIS series! Check it out (fully #OpenAccess, of course 😉): rdcu.be/dppYX ... or dive into the 🧵👇

📢#XAI study alert!📚 Ever wondered how the direction of #CounterfactualExplanations (CFEs) impacts human behavior? 🤔 We performed a user study to find out! 📝accepted at #xAI2023 🇵🇹 👀@arxiv: arxiv.org/abs/2306.07637 📊& co: github.com/ukuhl/Directional… ... or dive into the 🧵⬇️ 1/n

ALT Toddler Dive Child GIF

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ITS.ML retweeted
Great news🥳 Joint work of André Artelt from @tf_unibielefeld @unibielefeld and @kmalialis from @KIOSCoE @UCYOfficial on "Unsupervised Unlearning of Concept Drift with Autoencoders" got accepted at @ieeecis #SSCI Check out the preprint👇 arxiv.org/abs/2211.12989 #MachineLearning
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ITS.ML retweeted
Pack up, it‘s a retreat! 🚌 Over the next 3 days, the DataNinja 🥷 research training group meets up to discuss cutting-edge #MachineLearning research promoting #TrustworthyAI for seamless problem solving. Research powered by @MKW_NRW. Learn more here: dataninja.nrw
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