HCXAI'23 Sessions, Videos, and Papers
Introduction: The origin story, part 3
Upol Ehsan shares the "why" behind the workshop followed by an introduction of the organizing committee. Watch this if you want to learn about the past, current, and future of Human-Centered XAI
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Main Event
Live discussion: What happens when a philosopher, a psychologist, and a computer scientist walk into a bubble tea bar to talk about Explainable AI?
Moderator: Upol Ehsan
Paper Session #1: (New) Insights to the User
Session Chair: Justin Weisz
Why Don't You Do Something About It? Outlining Connections between AI Explanations & User Actions (by Gennie Mansi and Mark Riedl)
Helpful, Misleading or Confusing: How Humans Perceive Fundamental Building Blocks of Artificial Intelligence Explanations (by Edward Small, Yueqing Xuan, Danula Hettiachchi and Kacper Sokol)
Gig Workers and HCXAI in the Global South: An Evaluative Typology (by Isha Bhallamudi)
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Paper Session #2: (New) Perspectives
Session Chair: Hal Daume
Generating Process-Centric Explanations to Enable Contestability in Algorithmic Decision Making: Challenges and Opportunities (by Mireia Yurrita, Agathe Balayn and Ujwal Gadiraju)
Using Learning Theories to Evolve Human-Centered XAI: Future Perspectives and Challenges (by Karina Cortiñas Lorenzo and Gavin Doherty)
Understanding and Mitigating the Negative Consequences of Training Dataset Explanations (by Ariful Islam Anik and Andrea Bunt)
Paper Session #3: (New) Domains
Session Chair: Gonzalo Ramos
Explainable AI for the Arts (by Nick Bryan-Kinns)
Explainable AI And Visual Reasoning: Insights From Radiology (by Robert Kaufman and David Kirsh)
Exploring how expertise impacts acceptability of AI explanations: A case study from manufacturing (by Zibin Zhao and Cagatay Turkay)
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Poster Spotlight & Video Session
Session Chair: Philipp Wintersberger
Posters
Redesigning the HCXAI Agenda for the Post-ChatGPT Era of AI Systems
Trust and Transparency in Recommender Systems
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Insights from the Folk Theories of Recommender System Users
A human-centered XAI system for phishing detection
Developing AI Educational Tools for Children
Peeking Inside the Schufa Blackbox: Explaining the German Housing Scoring System
XAI human-centered design framework for Automated Vehicles
Acceptance of AI – Is It Domain-Specific?
Conceptualizing the Relationship between AI Explanations and User Agency
Explainable AI for End-Users
Adaptation of AI Explanations to Users’ Roles
Explainable AI for Strep Throat Increases Clinicians Ability to Identify Positive Cases in Telehealth
The Guide Dog Metaphor: Explainable AI via Coachable AI
Towards Feminist Intersectional XAI: From Explainability to Response-Ability
The role of XAI in creating conversation agents for early adolescents
Short Videos
Democratizing Healthcare with VitalsAI
The Dilemma of Whitebox Models
A Human-Centric Assessment Framework for AI
Wrap Up & Closing
Upol Ehsan concludes the workshop - where we are right now, where we can go in the future, and next steps to shape the discourse around HCXAI.
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