Workshop

HCAI@NeurIPS 2022, Human Centered AI

Michael Muller · Plamen P Angelov · Hal Daumé III · Shion Guha · Q.Vera Liao · Nuria Oliver · David Piorkowski

Project Page [ Contact: hcai_neurips2022@googlegroups.com ]

Video

Chat is not available.

Schedule

Timezone: America/Los_Angeles

5:00 AM

Welcome

Video

5:15 AM

Keynote 1: Living with AI. Joonhwan Lee, Seoul National University, South Korea.

Video

5:30 AM

Discussion

5:34 AM

Panel 1: Explainable AI (XAI)

5:35 AM

Closing the Creator-Consumer Gap in XAI: A Call for Participatory XAI Design with End-users. Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andres Monroy-Hernandez

Video

5:40 AM

Rethinking Explainability as a Dialogue: A Practitioner's Perspective. Dylan Z Slack, Satyapriya Krishna, Himabindu Lakkaraju, Sameer Singh

Video

5:45 AM

A Thematic Comparison of Human and AI Explanations of Sexism Assessment. Sharon Ferguson, Paula Akemi Aoyagui, Rohan Alexander, Anastasia Kuzminykh

Video

5:50 AM

Discussion

Video

5:55 AM

Keynote 2: Human-Centered Co-Creative AI: From Inspirational to Responsible AI. Mary Lou Maher, University of North Carolina Charlotte, US.

Video

6:10 AM

Discussion

6:14 AM

Panel 2: Large Models

6:15 AM

User and Technical Perspectives of Controllable Code Generation. Stephanie Houde, Vignesh Radhakrishna, Praneeth Reddy, Juie Darwade, Haoran Hu, Kalpesh Krishna, Mayank Agarwal, Kartik Talamadupula, Justin D. Weisz

Video

6:20 AM

Towards an Understanding of Human-AI Interaction in Prompt-Based Co-Creative Systems. Atefeh Mahdavi Goloujeh, Anne Sullivan, Brian Magerko

Video

6:25 AM

Towards End-User Prompt Engineering: Lessons From an LLM-based Chatbot Design Tool. J.D. Zamfirescu-Pereira, Richmond Wong, Bjorn Hartmann, Qian Yang

Video

6:30 AM

Discussion

Video

6:35 AM

short break

6:44 AM

Panel 3: Creativity + Collaboration

6:45 AM

The Need for Explainability in AI-Based Creativity Support Tools. Antonios Liapis, Jichen Zhu

Video

6:50 AM

Quantitatively Assessing Explainability in Collaborative Computational Co-Creativity. Michael Paul Clemens, Rogelio Enrique Cardona-Rivera, Courtney Rogers

Video

6:55 AM

Embodied Socio-cognitive Reframing of Computational Co-Creativity. Manoj Deshpande, Brian Magerko

Video

7:00 AM

Discussion

Video

7:05 AM

Keynote 3: Independent Community Rooted AI Research. Timnit Gebru, DAIR, US.

Video

7:20 AM

Discussion

7:24 AM

Panel 4: Values + Participation

7:25 AM

Beyond Safety: Toward a Value-Sensitive Approach to the Design of AI Systems. Alexander J. Fiannaca, Cynthia L. Bennett, Shaun Kane, Meredith Ringel Morris

Video

7:30 AM

Participation Interfaces for Human-Centered AI. Sean McGregor

Video

7:35 AM

Expansive Participatory AI: Supporting Dreaming within Inequitable Institutions. Shiran Dudy

Video

7:40 AM

Discussion

Video

7:45 AM

meal break

8:15 AM

Keynote 4: Designing AI Systems for Digital Well-Being. Asia Biega, Max Planck Institute for Security and Privacy (MPI-SP), Germany.

Video

8:30 AM

Discussion

8:34 AM

Panel 5: Social Good + Human Wellbeing

8:35 AM

Statelessness in Asylum Data ‚Äì A Human-Centered Perspective on Outliers. Kristin Kaltenhauser, Naja Møller

Video

8:40 AM

Another Horizon for Human-Centered AI: An Inspiration to Live Well. Julian Posada

Video

8:45 AM

A Future for AI Governance Systems beyond Predictions. Devansh Saxena, Erina Moon, Shion Guha

Video

8:50 AM

Discussion

8:55 AM

Keynote 5: Building human-centric AI systems: thoughts on user agency, transparency and trust. Fernanda Viegas, Google and Harvard University, US.

Video

9:10 AM

Discussion

9:14 AM

Panel 6: Users

9:15 AM

(Re)Defining Expertise in Machine Learning Development. Mark Diaz, Angela Smith

Video

9:20 AM

A Human-Capabilities Orientation for Human-AI Interaction Design. Sean Koon

Video

9:25 AM

(De)Noise: Moderating the Inconsistency of Human Decisions. Junaid Ali, Nina Grgic-Hlaca, Krishna P. Gummadi, Jennifer Wortman Vaughan

Video

9:30 AM

Discussion

9:35 AM

Posters (full list appears below)

10:35 AM

short break

10:44 AM

Panel 7: Critical

10:45 AM

Supporting Qualitative Coding with Machine-in-the-loop. Matthew K Hong, Francine Chen, Yan-Ying Chen, Matt Klenk

Video

10:50 AM

``Today we talk to the machine'' - Unveiling data for providing micro-credit loans using conversational systems. Heloisa Candello, Emilio Vital Brazil, Rogerio De Paula, Cassia Sanctos, Marcelo Grave, Gabriel Soella, Marina Ito, Adinan Brito Filho

Video

10:55 AM

Towards Multi-faceted Human-centered AI. Sajjadur Rahman, Hannah Kim, Dan Zhang, Estevam Hruschka, Eser Kandogan

Video

11:00 AM

Discussion

Video

11:05 AM

Keynote 6: Why HCAI Needs the Humanities. Lauren Klein, Emory University, US.

Video

11:20 AM

Discussion

11:24 AM

Panel 8: Data Work

11:25 AM

Labeling instructions matter in biomedical image analysis. An annotator-centric perspective. Tim R√§dsch, Annika Reinke, Vivienn Weru, Minu D. Tizabi, Nicholas Schreck, A. Emre Kavur, B√ºnyamin Pekdemir, Tobias Ro√ü, Annette Kopp-Schneider, Lena Maier-Hei

Video

11:30 AM

Ground(less) Truth: The Problem with Proxy Outcomes in Human-AI Decision-Making. Luke Guerdan, Amanda Lee Coston, Steven Wu, Ken Holstein

Video

11:35 AM

Human-centered Proposition for Structuring Data Construction. Cheul Young Park, Inha Cha, Juhyun Oh

Video

11:40 AM

Discussion

Video

11:45 AM

Conclusion

Video

Towards a Human-Centered Approach for Automating Data Science

Ana Crisan · Lars Kotthoff · Marc Streit · Kai Xu

Link

Is It Really Useful?: An Observation Study of How Designers Use CLIP-based Image Generation For Moodboards

Seungho Baek · Hyerin Im · Uran Oh · Youn-kyung Lim · Tak Yeon Lee

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Explainable Representations of Human Interaction: Engagement Recognition model with Video Augmentation

Yubin Kim · Hae Park · Sharifa Alghowinem

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Trust Explanations to Do What They Say

Neil Natarajan · Reuben Binns · Jun Zhao · Nigel Shadbolt

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Towards Companion Recommendation Systems

Konstantina Christakopoulou · Yuyan Wang · Ed Chi · MINMIN CHEN

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Generation Probabilities are Not Enough: Improving Error Highlighting for AI Code Suggestions

Helena Vasconcelos · Gagan Bansal · Adam Fourney · Q.Vera Liao · Jennifer Wortman Vaughan

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Values Shape Optimizers Shape Values

Joe Kwon

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Exploring Human-AI Collaboration for Fair Algorithmic Hiring

Hyun Joo Shin · Anqi Liu

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Revisiting Value Alignment Through the Lens of Human-Aware AI

Sarath Sreedharan · Subbarao Kambhampati

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Human-AI Co-Creation of Personas and Characters with Text-Generative Models

Toshali Goel · Orit Shaer

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Human-Centered Algorithmic Decision-Making in Higher Education

Kelly McConvey · Anastasia Kuzminykh · Shion Guha

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Social Construction of XAI: Do We Need One Definition to Rule Them All?

Upol Ehsan · Mark Riedl

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Science Communications for Explainable AI (XAI)

Simon Hudson · Matija Franklin

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Beyond Decision Recommendations: Stop Putting Machine Learning First and Design Human-Centered AI for Decision Support

Zana Bucinca · Alexandra Chouldechova · Jennifer Wortman Vaughan · Krzysztof Z Gajos

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Indexing AI Risks with Incidents, Issues, and Variants

Sean McGregor · Kevin Paeth · Khoa Lam

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Towards Better User Requirements: How to Involve Human Participants in XAI Research

Thu Nguyen · Jichen Zhu

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Feature-Level Synthesis of Human and ML Insights

Isaac Lage · Sonali Parbhoo · Finale Doshi-Velez

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High-stakes team based public sector decision making and AI oversight

Deborah Morgan · Vincent Straub · Youmna Hashem · Jonathan Bright

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The Role of Labor Force Characteristics and Organizational Factors in Human-AI Interaction

Lingwei Cheng · Alexandra Chouldechova

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The Challenges and Opportunities in Overcoming Algorithm Aversion in Human-AI Collaboration

Lingwei Cheng · Alexandra Chouldechova

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Pragmatic AI Explanations

Shi Feng · Chenhao Tan

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Accuracy Is Not All You Need

David Piorkowski · Rachel Ostrand · Yara Rizk · Vatche Ishagian · Vinod Muthusamy · Justin D Weisz

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Honesty as the Primary Design Guidelineof Machine Learning User Interfaces

Claudio Pinhanez

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Data Issues Challenging AI Performance in Diagnostic Medicine and Patient Management

Mohammad Hossein Jarrahi · Mohammad Haeri · Chris Lenhardt

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Understanding the Criticality of Human Adaptation when Designing Human-Centered AI Teammates

Christopher Flathmann · Nathan McNeese

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The Design Space of Pre-Trained Models

Meredith Morris · Carrie Cai · Jess Holbrook · Chinmay Kulkarni · Michael Terry

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Human-in-the-loop Bias Mitigation in Data Science

Romila Pradhan · Tianyi Li

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A View From Somewhere: Human-Centric Face Representations

Jerone Andrews · Przemyslaw Joniak · Alice Xiang

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Metric Elicitation; Moving from Theory to Practice

Safinah Ali · Sohini Upadhyay · Gaurush Hiranandani · Elena Glassman · Sanmi Koyejo

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Combating Toxicity in Online Games with HCAI

Regan Mandryk · Julian Frommel

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The Aleph & Other Metaphors for Image Generation

Gonzalo Ramos · Rick Barraza · VICTOR DIBIA · Sharon Lo

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Tensions Between the Proxies of Human Values in AI

Daniel Nissani · Teresa Datta · John Dickerson · Max Cembalest · Akash Khanna · Haley Massa

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