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UID:261@escience.washington.edu
DTSTART;TZID=America/Los_Angeles:20250409T163000
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URL:https://escience.washington.edu/events/uw-data-science-seminar-hua-she
 n/
SUMMARY:UW Data Science Seminar: Hua Shen
DESCRIPTION:Please join us for a UW Data Science Seminar featuring UW iScho
 ol Postdoctoral Scholar Hua Shen on  Wednesday\, April 9th from 4:30 to 5:
 20 p.m. PT.\n\n\nThe seminar will be held in Electrical and Computer Engin
 eering Building 125 – Campus Map.\n"Towards Bidirectional Human-AI Alig
 nment: Empowering Human Interaction in Building Responsible AI across the 
 Lifecycle"\n\nAbstract: As artificial intelligence (AI) continues to trans
 form society\, ensuring that AI systems align with human values\, ethics\,
  and goals – commonly referred to as AI alignment – has become increas
 ingly critical. How can we systematically integrate human values into AI d
 evelopment and deployment to achieve human-centered\, responsible AI? This
  talk provides an in-depth exploration of bidirectional human- AI alignmen
 t\, emphasizing the pivotal role of human interaction in fostering respons
 ible AI systems across their lifecycle. I will begin by illustrating a nov
 el human-in-the-loop approach that integrates human computation into data 
 annotation\, AI model development\, and benchmark creation to build AI sys
 tems that effectively address real-world human challenges. Additionally\, 
 I will highlight the critical human needs for explaining and collaborating
  with deployed AI systems in education domains\, introducing innovative hu
 man-AI interactive systems that empower individuals to collaborate with th
 e AI system in AI-powered scientific writing and coding tasks. The talk wi
 ll conclude by outlining her broader research agenda and future directions
 \, offering a vision for value-centered\, bidirectional human-AI alignment
  to advance human-centered responsible AI systems that promote societal we
 ll-being.\n  Biography:   Hua Shen is a postdoctoral scholar of the Univer
 sity of Washington affiliated with the Information School and Responsibili
 ty in AI Systems and Experiences Center (RAISE). Her work anchors in HCI a
 nd intersects with multiple AI fields\, such as NLP\, Machine Learning\, S
 peech Processing\, and Computer Vision. Particularly\, her research focuse
 s on bidirectional human-AI alignment\, aiming to empower humans to intera
 ctively explain\, evaluate\, and collaborate with AI\, while incorporating
  human feedback and values to improve AI systems. Her research has been re
 cognized with multiple awards\, including Best Paper and Best Interactive 
 Event at AIED 2024\, Best Demo at CSCW 2023\, Best Paper Honorable Mention
  at IUI 2023\, and Google Research Science Conference Scholarships. She wa
 s selected as the 2023 Rising Stars of Data Science awarded by University 
 of Chicago\, UC San Diego\, and Stanford University. She earned her Ph.D. 
 from Pennsylvania State University from 2019 to 2023 and completed a postd
 octoral fellowship at the University of Michigan. \nThe 2024-2025 seminars
  will be held in person\, and are free and open to the public.
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