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.
🎉 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.
Do we hold AI systems to a higher standard regarding how they explain their behavior? When people explain their behavior in natural language, there's a gap between the words they use and the underlying causal mechanisms that actually drove their behavior. Are we more tolerant of this gap in people than we are in AI systems? #HCXAI#CHI2023
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...