We have an exciting main event at #HCXAI at #chi2024 today!
We have @janethaven from @datasociety and
Kush Varshney from @ibmresearch for an invigorating discussion on AI governance and policymaking to take Explainable AI beyond academia.
I am at #CHI2024 for the Doctoral Consortium and the #HCXAI workshop. I do AI+HCI research on transparency, explainability, and trust in AI and would love to chat! I'm also graduating next spring and will be looking for jobs soon 👩🏻💻
Why are we opening things up?
💡Over the last 4 years, practitioners & policymakers have shared challenges of submitting a paper (bandwidth, resources, etc.)
DEADLINE EXTENDED: Due to popular requests, the deadline for the Human-centered XAI (#HCXAI) workshop at #CHI2024 is Feb 28. Please repost and help us spread the word!
We are all going through a lot now. We wanted to make like a bit easier and be kind to those juggling many concurrent things like AAAI and other things.
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At HCXAI, we try our best to make sure the audience members have meaningful engagement with main event speakers. This feedback is exemplary of that.
🎉 Excited to join the expert panel at the QUARE workshop at @Recsys and take deep dives on how to balance user needs + organizational objectives in #XAI.
🎁 Glad to see cross-pollination from the Human-centered XAI (#HCXAI) workshop at CHI 🔥
🏆 Props to organizers for increasing accessibility by making the WS virtual. I was fearful I'd need to cancel, but Paxlovid kicked in just in time to join virtually. In-person would've been impossible.
There are times you need to go back to the drawing board and start all over.
For the last few weeks, I've been doing a meta-analysis of my work. Put the key parts of all my papers in one place and started distilling the findings till I reached saturation.
I'm starting to see my own work in a new light. This process has been revealing. I strongly recommend it to all scholars and researchers.
Here's a new idea from the #HCXAI#CHI2023 workshop: Seams in AI systems are mismatches or gaps between the design & expectations of a system versus how that system is actually used. It's like how everyone expects AI to take over the world when real AI systems still confuse cats with dogs...