This research superstar is available ✨ I need someone working in #Denmark #HCI to step up their game!

How can we create responsible AI if we can't reliably know about the open datasets we use? Metadata? Meta question🤷 License? ❌ History of changes and preprocessing? Nope Deterministic access? How a hundreds copies on Kaggle? 😇 Find some recs in our fresh #NeurIPS2024 paper

“Datasets through the Looking Glass” has been featured in @RSIPvision ! 😊 thanks! Check out our last webinar on "dataset design and metrics" with @annika_reinke1 @Nat_Avlona @hdzajac @sandraavilabr @alceubissoto 📖 Article: https://t.co/Fb1PT6DozR 🎥 https://t.co/Mj5ie4quOD

Here we go again! 🤩 Together with @Nat_Avlona we'll discuss 1. How medical datasets for training AI come about 🏗 2. What to watch out for during that process 👨‍🔬🧐 3. And how, to little surprise, they do not capture the "objective medical knowledge" 🙈 Join us on Zoom! 👇

What a fantastic start to 2024 for the equitable and responsible use of AI in the public sector! @najaholten joined a discussion with the Danish Minister for Digital Government and Gender Equality, union, and local government representatives on vision for the public use of AI✨

The highlight of Tuesday, Nov 21? 🤔 Definitely, a talk by our brilliant colleague @kristinkaltenh @ Diversity in Tech and Science in Copenhagen, organised by IDA Kristin will talk about her fascinating research on outliers in the Danish asylum system https://t.co/7gTxYApphN

A fantastic talk by @SarahHomewood yesterday at Confronting Data Co-Lab: "Removal as a method" Now, fighting the urge to remove more technology from our lives ❌ #method #hci #confrontingdata #hcc #sdps

We're excited to host our neighbour and friend @SarahHomewood who will give a talk during our Toolbox series #6: Removal as a method; the deliberate removal of technologies as a research method ❌💻 🧐 25.10 - 12:00 PM - 1:00 PM at @DIKU_Institut https://t.co/1xPb5Smi3d

Interactive poster session?🤔 We asked the participants of #nordicAIMeet to try to guess the answers to our research questions 🗳️ They voted with their hearts and had quite good intuition! 🫦🎯 It was a great way to engage and discuss our results ✨ #PhDVoice #AcademicChatter

Quoting a famous sign, I like you very much @MayaHGupta @owlbru @nicksu28! Thank you for being a part of this journey! 🤗🤗

Honestly, how cool is it that your uni sends you to the other side of the world to make friends? ✨ Last week, I finished my 6 months-long research stay abroad at @UCIrvine - full of learning, awing, networking, and befriending. Can't wait for what's next! #phdlife #phdchat

Here is a new paper on how AI data are designed/created: "Discussions of what constitutes high-quality data need to pay attention to the factors that shape and constrain what is possible to be created..."

By we, I mean my wonderful friend and co-author: @Nat_Avlona 💃 as well as @tariqandersen, Finn Kensing, and @quillis 🧐🧠🔥 (emoji order unrelated) Thank you @AIESConf for hosting such a great space to discuss how to move forward with AI without burning the world 🥳

Using medical datasets to train AI shouldn't resemble playing Truth or Dare 👻 That's why we mapped out factors that shape your medical dataset even before the labelling If #ResponsibleAI is what we want, we can't leave data to chance, so have a read ✨ https://t.co/cABW9Lkgs2

We are excited to announce that the Special Issue on "Human-Centered AI in Healthcare: Challenges Appearing in the Wild" has been published at ACM TOCHI (@acmtochi). This thread🧵mentions the papers that compose the issue. 1/11 #HCI #CSCW #STS #XAI #HCAI #HCXAI

There is nothing else for me to achieve in academia. I am complete 😂 a bit worried about my reviewer 2 tho 😳🤔 #phdchat #phdlife #phdvoice

Why is it so hard to realise medical AI? In our newly published TOCHI paper we review 25 studies that designed, developed and/or deployed clinician-facing machine learning based systems in healthcare settings.

#AI in #healthcare is wild and seemingly untameable 🤯 In our latest @acmtochi paper we: 1. Deconstruct ML innovation processes 2. Dive into related sociotechnical challenges 3. Discuss ways forward for #HCI, #ML, and #Health people ✨Take it and use it✨ https://t.co/a1oPXunXWg

We need to be more critical of new technologies and the anonymous bunnies are on it! 👏👏🐰🐰 @Nikolajkunsthal is hosting a very comprehensive piece by @annaorberg_com on the dangers of the uncontrolled pursuit of technological advancement. Go go go! #AI #ML #metaverse

Developing medical AI models is great. But seeing AI have a real impact in clinical settings is even better. I was thrilled to attend the Danish Annual Diagnostic Imaging Conference and talk about challenges faced during the implementation of #medicalAI in clinical practice.