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DTSTART:20260329T020000
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DTSTART:20251026T010000
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DTSTAMP:20251027T115752Z
UID:F8FB57FD-00C7-4BFB-9982-295B280B01F5
DTSTART;TZID=Europe/London:20251121T093000
DTEND;TZID=Europe/London:20251121T171500
DESCRIPTION:Causal XAI Workshop II aims to continue fostering this growing 
 community\, showcasing recent advances\, highlighting new applications\, a
 nd stimulating interdisciplinary dialogue. This year\, we introduce a spec
 ial focus on the intersection between Causal XAI and Generative AI\, parti
 cularly Large Language Models (LLMs)\, as one of several key themes that w
 ill be addressed.\n\nThe workshop will provide a forum for presenting new 
 research\, debating foundational issues\, sharing tools and datasets\, and
  encouraging critical reflection on the societal and ethical implications 
 of causal XAI. Participants will have the chance to network and hear invit
 ed speakers who are experts on XAI. There is also the opportunity to displ
 ay a poster (abstract submission required). This will be a free in-person 
 meeting\, including refreshments and lunch.\n\nWe invite contributions on 
 a broad range of topics including\, but not limited to:\n\n- Foundations o
 f Causal XAI\n- Explainability techniques grounded in causality\n- Human-c
 entred and domain-specific causal explanations\n- Evaluation metrics for c
 ausal XAI\n- Trust\, transparency\, and accountability in causal models\n-
  Human-in-the-loop and hybrid intelligence systems\n- Causal XAI and Gener
 ative AI (e.g LLMs)\n\nFor further details and registration\, see https://
 computing.ulster.ac.uk/CausalXAI2025/\n\nCo-sponsored by: Ulster Universit
 y \n\nRoom: BC-03-102\, Bldg: BC\, Ulster University\, 2-24 York Street\, 
 Belfast\, Northern Ireland\, United Kingdom\, BT15 1AP
LOCATION:Room: BC-03-102\, Bldg: BC\, Ulster University\, 2-24 York Street\
 , Belfast\, Northern Ireland\, United Kingdom\, BT15 1AP
ORGANIZER:h.zheng@ulster.ac.uk
SEQUENCE:2
SUMMARY:Causal XAI Workshop II Advances\, Applications and Intersections
URL;VALUE=URI:https://events.vtools.ieee.org/m/510437
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;Causal XAI Workshop II&lt;/strong&gt; ai
 ms to continue fostering this growing community\, showcasing recent advanc
 es\, highlighting new applications\, and stimulating interdisciplinary dia
 logue. This year\, we introduce a special focus on the intersection betwee
 n Causal XAI and Generative AI\, particularly Large Language Models (LLMs)
 \, as one of several key themes that will be addressed.&lt;/p&gt;\n&lt;p&gt;The worksh
 op will provide a forum for presenting new research\, debating foundationa
 l issues\, sharing tools and datasets\, and encouraging critical reflectio
 n on the societal and ethical implications of causal XAI. Participants wil
 l have the chance to network and hear invited speakers who are experts on 
 XAI. There is also the opportunity to display a poster (abstract submissio
 n required). This will be a free in-person meeting\, including refreshment
 s and lunch.&lt;/p&gt;\n&lt;p&gt;We invite contributions on a broad range of topics in
 cluding\, but not limited to:&lt;/p&gt;\n&lt;ol&gt;\n&lt;li&gt;Foundations of Causal XAI&lt;/li
 &gt;\n&lt;li&gt;Explainability techniques grounded in causality&lt;/li&gt;\n&lt;li&gt;Human-cen
 tred and domain-specific causal explanations&lt;/li&gt;\n&lt;li&gt;Evaluation metrics 
 for causal XAI&lt;/li&gt;\n&lt;li&gt;Trust\, transparency\, and accountability in caus
 al models&lt;/li&gt;\n&lt;li&gt;Human-in-the-loop and hybrid intelligence systems&lt;/li&gt;
 \n&lt;li&gt;Causal XAI and Generative AI (e.g LLMs)&lt;/li&gt;\n&lt;/ol&gt;\n&lt;p&gt;For further 
 details and registration\, see &lt;a title=&quot;https://computing.ulster.ac.uk/Ca
 usalXAI2025/&quot; href=&quot;https://computing.ulster.ac.uk/CausalXAI2025/&quot;&gt;https:/
 /computing.ulster.ac.uk/CausalXAI2025/&lt;/a&gt;&lt;/p&gt;
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