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Vera Liao
@QVeraLiao
Joined August 2009
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    Personal update: After 8 amazing years in industry, I will join @UMichCSE in fall 2025. I look forward to putting more energy into mentoring, teaching, and collaborating across disciplines and organizations I will look for PhD students this cycle and a postdoc
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    Personal update: I am trilled to start a new position at @MSFTResearch Montréal, joining the FATE group 🤩 (still in NY for now). Looking forward to a new chapter and learning from new colleagues at @Microsoft!
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    Worried that #LLM evaluation is broken?@ZiangXiao and I wrote a position paper arguing that eval should take on a critical task to close the socio-technical gap: providing valid assessment for whether human needs in downstream use cases can be satisfied: 🔗arxiv.org/abs/2306.03100
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    📢 🎉 Our FATE Montreal group @MSFTResearch is hiring interns for summer 2023! Looking for candidates with FATE interests including responsible #NLProc, AI transparency and explainability, human-centered AI, and future of work. Apply here 👇 careers.microsoft.com/us/en/job/1488…
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    Sadly could not attend #CHI2020, but I enjoyed browsing through the program. I created a reading list of papers on human-AI interaction (broadly). Ofc I must have missed some great papers on the topic. Let me know :) #AI #HCI
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    (1/n) Just finished teaching #CHI2021 course Intro to #ExplainableAI. Definitely a highlight of my CHI experience! Thrilled to have nearly 200 people registered and helped shaping the course Slides: qveraliao.com/xai_tutorial.p… Website: hcixaitutorial.github.io A thread:
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    🎉Happy to share our paper on generative echo chamber received a #CHI2024 Best Paper Award🏆 Congratulations to @nikhilsksharma @ZiangXiao
    📢Excited to share this #CHI2024 paper examining whether and how LLM-powered conversational search creates “generative echo chambers”. We must understand how LLMs and LLM-powered applications may reshape people’s information consumption 🔗arxiv.org/abs/2402.05880
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    Sharing another survey and reflective paper from 2021: I wrote a book chapter with @krvarshney, in which we ask the question "what are human-centered approaches doing for explainable AI" arxiv.org/abs/2110.10790 (a short 🧵)
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    📢Excited to share this #CHI2024 paper examining whether and how LLM-powered conversational search creates “generative echo chambers”. We must understand how LLMs and LLM-powered applications may reshape people’s information consumption 🔗arxiv.org/abs/2402.05880
    Concerns have long been raised about search systems creating filter bubbles and echo chambers, contributing to a divided society. What if LLM-powered conversational search makes these problems worse? 📢New paper accepted to #CHI2024: arxiv.org/abs/2402.05880 #LLMs #NLProc #HCI
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    #DIS2025 CfP is out! I want to draw your attention to a new subcommittee on AI and Design (co-chaired by John Zimmerman and me) If you are working at the intersection of AI and design (broadly defined, see 👇), please consider submitting to DIS! Deadline Jan 13
    The countdown for #DIS2025 has officially started 🎉 Call for Papers and Pictorials are now live on our website dis.acm.org/2025/ Abstracts are due on the 13th of January and full submissions on the 20th of January. Looking forward to all of your exciting works!
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    We (MSR FATE Montreal) are looking for summer 2024 interns! Check out the details and apply here 🔗jobs.careers.microsoft.com/global/en/job/…
    📢Interested in an internship on responsible language technologies, AI transparency/explainability, human-centered AI, impact of complex sociotechnical systems, or preserving human agency? Our team's (@sulin_blodgett @QVeraLiao & I) intern call is up!🎉 jobs.careers.microsoft.com/global/en/job/…
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    Yay! Our paper on social transparency for explainable AI won a #CHI2021 best paper honorable mention award! Big congrats to lead author @UpolEhsan and co-authors @michael_muller @mark_riedl @gratefulspam
    Excited to put out pre-print of our #CHI2021 paper with @UpolEhsan, also @michael_muller @mark_riedl @gratefulspam We propose Social Transparency for AI, incorporating socio-organizational context through past users' interactions and explanations to facilitate AI explainability
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    Very happy to share this paper on #ExplainableAI #UX received a #CHI2020 Best Paper Honorable Mention! Great experience studying and learning from many awesome IBM designers and UXers
    [2/4] #CHI2020 Questioning the AI: Informing Design Practices for Explainable AI User Experiences arxiv.org/abs/2001.02478 How to put XAI into practice? We explored the XAI design space with 20 designers and UXers, incl. a list of prototypical user questions for understanding AI
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    Moved to Montréal this week! And back to outdoor running 😇