Trustworthy AI Lab retweeted
Some happy news 🎉 I’m happy to share that I’ve been promoted to Full Professor of Trustworthy AI in the Department of Informatics at Universität Hamburg. Very grateful for the amazing team and collaborators who made this possible. Looking forward to the next years!
Trustworthy AI Lab retweeted
🚨 New paper alert: A new generation of LLMs can now process speech natively. This could expand access for millions excluded by text interfaces, but our research shows a cost: demographic cues in speaker voice can trigger stereotypical model responses. 🎙️⚖️
Trustworthy AI Lab retweeted
Interested in #AI4Science but don't know where to start? No worries -- at #EACL2026, we will give a #tutorial of recent advances in AI-assisted tools & models that support the entire scientific research process, building upon our recent survey.
ai4science-tutorial.github.i…
Trustworthy AI Lab retweeted
🌈 What makes each of us unique, and which ethical and technical challenges around AI does this imply?
Still enough time left to submit to our 2nd Workshop on Identity-Aware AI, held in conjunction with LREC 2026. The deadline is Feb 20 (Fri), 2026.
identity-aware-ai.github.io
Trustworthy AI Lab retweeted
The AI, Ethics, and Society Conference @AIESConf 2026 will be in Malmö, Sweden, October 12-14. Abstract due May 14, paper due May 21.
aies-conference.com/2026/
Trustworthy AI Lab retweeted
🚨🚨 Studying the INTERPLAY of LMs' internals and behavior?
Join our @colmweb.org workshop on comprehensivly evaluating LMs.
Deadline: June 23rd
CfP: shorturl.at/sBomu
We're excited to see your work!!
See you in Montréal 🇨🇦 #nlproc #interpretability
Trustworthy AI Lab retweeted
#MemoryMonday #NLProc
"Welcome to the Modern World of Pronouns" by Lauscher et al. addresses the exclusion of non-binary individuals in NLP and introduces five desiderata for a more inclusive approach.
aclanthology.org/2022.coling…
Trustworthy AI Lab retweeted
𝗛𝗶 𝗟𝗼𝘂 👋
Lou is our #EMNLP2024 dataset for analyzing how gender-fair language – that fosters inclusion – impacts classification 🏭 More about it in this thread:
💠Annotation challenges
💠Effects on single predictions
💠Notable altered attention patterns
🧵 (1/8) #NLProc
Trustworthy AI Lab retweeted
I will be at the Responsible AI summit. I will be there to talk about EU AI policy and ethical concerns in AI. Say hi if we are mutuals!
Trustworthy AI Lab retweeted
LOU is finally out 🎉 Great teamwork focusing on how LMs process gender-fair language differently.
More details about LOU at #EMNLP2024, in the pre-print or the audio summary (you need a grain of salt!!)
📄arxiv.org/abs/2409.17929
🗣️audio.com/andreas-waldis/aud…
nitter.gq/UKPLab/status/18374200…
Replying to @UKPLab @emnlpmeeting @IGurevych @TUDarmstadt @ProLOEWE @ATHENECenter @emergen_CITY @FraunhoferSIT @Hessian_AI @jtonglet @Furkansahinuc @thy2512 @yufanghou @IBMResearch @AmazonScience @Koby_Loby @XiaoL558286 @ndaheim_ @dmacjam @mrinmayasachan @trumancfy @xinranz3 @soshsihao @hongming110 @koeppl_lab @CarnegieMellon @uwcse
»The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification«
by @AndreasWaldis, @anne_lauscher, @IGurevych
@UKPLab @DS_research_hh @hslu
📰coming soon
💻github.com/UKPLab/lou-gender…
(7/🧵)
Trustworthy AI Lab retweeted
Did you know that “…baby one more time” by Britney Spears has one of the greatest bridges of all time?
We're big fans of poster boasters at #GITT2024 @J_Hackenbuchner @manuellardelli @apierg and @jokedaems presenting, come say hi at the posters later!
Trustworthy AI Lab retweeted
#MemoryMonday #NLProc
"DS-TOD: Efficient Domain Specialization for Task Oriented Dialog" by Hung et al. investigates domain specialization of language models for task-oriented dialog using domain-specific resources and lightweight adapters.
arxiv.org/abs/2110.08395?con…
Trustworthy AI Lab retweeted
I am so happy to share "Building Bridges: A Dataset for Evaluating Gender-Fair Machine Translation into German", joint work with @peppeatta and @anne_lauscher accepted in the findings of @aclmeeting. #acl2024
arxiv.org/pdf/2406.06131
Trustworthy AI Lab retweeted
For this week's @MilaNLProc reading group, @anne_lauscher presented "Position: Key Claims in LLM Research Have a Long Tail of Footnotes" by @annargrs and @SashaMTL
Paper: arxiv.org/pdf/2308.07120
#NLProc
Trustworthy AI Lab retweeted
🎉 Our paper "ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale" has been accepted to #ACL2024 findings!
Congrats to my amazing co-authors @CarolinHolterm, Shahed Masoudian, @anne_lauscher, Navid Rekabsaz!
































