🌻 I'm on the job market 🌻
I'm a designer and HCI & Health researcher exploring how emotion, value, and aesthetics shape interactivity and vice versa. Learn more about me and my work here: https://t.co/ngeMLqLt6f
Please get in touch if you're hiring or know of any good fits!
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
🐈⬛ Copycats has been accepted at #NeurIPS2024@NeurIPSConf D&B Track! 🎉🎉
TL; DR: We aim to promote better data governance in the context of medical imaging datasets and uphold the reliability and fairness of AI in healthcare.
🔗 https://t.co/6U6RmBDou2
Thanks to coauthors🤗
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! 👇
🎉 Exiting news! Join us for our next "Datasets through the L👀king Glass" webinar featuring amazing speakers 🤩 @annika_reinke1@hdzajac@Nat_Avlona@sandraavilabr@alceubissoto
🗣️ Dataset design and metrics
📅 25th Mar 2024 - 4pm CET
🖥️ Zoom https://t.co/SXHK9CXAvj
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
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
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
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. https://t.co/3pcBHdzDui