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X-WR-CALDESC:[Explainable AI Team Seminar] NLP for Mental Health: Risk\, Pr
 omise\, Responsibility by Prof. Irina Gurevych on Sep.30
X-WR-CALNAME:[Explainable AI Team Seminar] NLP for Mental Health: Risk\, Pr
 omise\, Responsibility by Prof. Irina Gurevych on Sep.30
X-WR-TIMEZONE:Asia/Tokyo
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TZID:Asia/Tokyo
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DTSTART:19700101T000000
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:JST
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BEGIN:VEVENT
UID:999683@techplay.jp
SUMMARY:[Explainable AI Team Seminar] NLP for Mental Health: Risk\, Promise
 \, Responsibility by Prof. Irina Gurevych on Sep.30
DTSTART;TZID=Asia/Tokyo:20260930T143000
DTEND;TZID=Asia/Tokyo:20260930T160000
DTSTAMP:20260823T002926Z
CREATED:20260821T140119Z
DESCRIPTION:イベント詳細はこちら\nhttps://techplay.jp/event/99968
 3?utm_medium=referral&utm_source=ics&utm_campaign=ics\n\n自然言語処
 理分野でご活躍のProf. Iryna Gurevych (the UKP Lab at TU Darmstadt
 )にご講演いただくことになりました。ぜひご参加くだ
 さい。\nオンラインでの参加はどなたでも可能です。\n
 Online Venue: Open to all registered participants. The seminar will be de
 livered via Zoom. The URL will be provided only to registered participant
 s.\n\nAbstract\n\nMore than a billion people live with a mental health co
 ndition\, yet care remains scarce and often a poor fit for the person rec
 eiving it — so people increasingly turn to unsupervised chatbots to fil
 l the gap. Because language is the richest signal we have into someone’
 s psychological state\, natural language processing is the key to doing t
 his better. In this talk\, I argue that NLP can genuinely help — but so
 lving it takes clinical grounding\, real data\, and responsible evaluatio
 n\, not just larger models. Drawing on work from my group\, I show how la
 rge language models can turn therapy transcripts into treatment-relevant 
 structure\, how clinically grounded synthetic data eases the field’s pr
 ivacy bottleneck\, and why evaluation must reflect what clinicians actual
 ly care about — not just what’s easy to benchmark. I close with an in
 vitation to build mental health AI that is personalized\, privacy-aware\,
  and responsibly evaluated: tools that support clinicians\, not replace t
 hem.\nTeam’s web site: https://psych.ukp-lab.de/\n\nShort Bio\n\nIryna 
 Gurevych is Professor of Ubiquitous Knowledge Processing in the Departmen
 t of Computer Science at the Technical University of Darmstadt in Germany
 . She also is an adjunct professor at MBZUAI in Abu-Dhabi\, UAE\, and an 
 affiliated professor at INSAIT in Sofia\, Bulgaria. She is widely known f
 or fundamental contributions to natural language processing (NLP) and mac
 hine learning. Professor Gurevych is a past president of the Association 
 for Computational Linguistics (ACL)\, the leading professional society in
  NLP. Her many accolades include being a Fellow of the ACL\, an ELLIS Fel
 low\, and the recipient of an ERC Advanced Grant. Most recently\, she has
  received the 2025 Milner award of the British Royal Society for her majo
 r contributions to NLP and artificial intelligence that combine deep unde
 rstanding of human language and cognitive faculty with the latest paradig
 ms in machine learning.
LOCATION:オンライン
URL:https://techplay.jp/event/999683?utm_medium=referral&utm_source=ics&utm
 _campaign=ics
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