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

Time zone: Conference local time zone

7:00 AM

Welcome

Video

7:15 AM

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

Video

7:30 AM

Discussion

7:34 AM

Panel 1: Explainable AI (XAI)

7:35 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

7:40 AM

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

Video

7:45 AM

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

Video

7:50 AM

Discussion

Video

7:55 AM

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

Video

8:10 AM

Discussion

8:14 AM

Panel 2: Large Models

8:15 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

8:20 AM

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

Video

8:25 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

8:30 AM

Discussion

Video

8:35 AM

short break

8:44 AM

Panel 3: Creativity + Collaboration

8:45 AM

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

Video

8:50 AM

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

Video

8:55 AM

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

Video

9:00 AM

Discussion

Video

9:05 AM

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

Video

9:20 AM

Discussion

9:24 AM

Panel 4: Values + Participation

9:25 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

9:30 AM

Participation Interfaces for Human-Centered AI. Sean McGregor

Video

9:35 AM

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

Video

9:40 AM

Discussion

Video

9:45 AM

meal break

10:15 AM

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

Video

10:30 AM

Discussion

10:34 AM

Panel 5: Social Good + Human Wellbeing

10:35 AM

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

Video

10:40 AM

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

Video

10:45 AM

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

Video

10:50 AM

Discussion

10:55 AM

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

Video

11:10 AM

Discussion

11:14 AM

Panel 6: Users

11:15 AM

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

Video

11:20 AM

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

Video

11:25 AM

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

Video

11:30 AM

Discussion

11:35 AM

Posters (full list appears below)

12:35 PM

short break

12:44 PM

Panel 7: Critical

12:45 PM

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

Video

12:50 PM

``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

12:55 PM

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

Video

1:00 PM

Discussion

Video

1:05 PM

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

Video

1:20 PM

Discussion

1:24 PM

Panel 8: Data Work

1:25 PM

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

1:30 PM

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

Video

1:35 PM

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

Video

1:40 PM

Discussion

Video

1:45 PM

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

Link

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

Yubin Kim ⋅ Hae Park ⋅ Sharifa Alghowinem

Link

Trust Explanations to Do What They Say

Neil Natarajan ⋅ Reuben Binns ⋅ Jun Zhao ⋅ Nigel Shadbolt

Link

Towards Companion Recommendation Systems

Konstantina Christakopoulou ⋅ Yuyan Wang ⋅ Ed Chi ⋅ MINMIN CHEN

Link

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

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

Link

Values Shape Optimizers Shape Values

Joe Kwon

Link

Exploring Human-AI Collaboration for Fair Algorithmic Hiring

Hyun Joo Shin ⋅ Anqi Liu

Link

Revisiting Value Alignment Through the Lens of Human-Aware AI

Sarath Sreedharan ⋅ Subbarao Kambhampati

Link

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

Toshali Goel ⋅ Orit Shaer

Link

Human-Centered Algorithmic Decision-Making in Higher Education

Kelly McConvey ⋅ Anastasia Kuzminykh ⋅ Shion Guha

Link

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

Upol Ehsan ⋅ Mark Riedl

Link

Science Communications for Explainable AI (XAI)

Simon Hudson ⋅ Matija Franklin

Link

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

Link

Indexing AI Risks with Incidents, Issues, and Variants

Sean McGregor ⋅ Kevin Paeth ⋅ Khoa Lam

Link

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

Thu Nguyen ⋅ Jichen Zhu

Link

Feature-Level Synthesis of Human and ML Insights

Isaac Lage ⋅ Sonali Parbhoo ⋅ Finale Doshi-Velez

Link

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

Deborah Morgan ⋅ Vincent Straub ⋅ Youmna Hashem ⋅ Jonathan Bright

Link

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

Lingwei Cheng ⋅ Alexandra Chouldechova

Link

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

Lingwei Cheng ⋅ Alexandra Chouldechova

Link

Pragmatic AI Explanations

Shi Feng ⋅ Chenhao Tan

Link

Accuracy Is Not All You Need

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

Link

Honesty as the Primary Design Guidelineof Machine Learning User Interfaces

Claudio Pinhanez

Link

Data Issues Challenging AI Performance in Diagnostic Medicine and Patient Management

Mohammad Hossein Jarrahi ⋅ Mohammad Haeri ⋅ Chris Lenhardt

Link

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

Christopher Flathmann ⋅ Nathan McNeese

Link

The Design Space of Pre-Trained Models

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

Link

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

Romila Pradhan ⋅ Tianyi Li

Link

A View From Somewhere: Human-Centric Face Representations

Jerone Andrews ⋅ Przemyslaw Joniak ⋅ Alice Xiang

Link

Metric Elicitation; Moving from Theory to Practice

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

Link

Combating Toxicity in Online Games with HCAI

Regan Mandryk ⋅ Julian Frommel

Link

The Aleph & Other Metaphors for Image Generation

Gonzalo Ramos ⋅ Rick Barraza ⋅ VICTOR DIBIA ⋅ Sharon Lo

Link

Tensions Between the Proxies of Human Values in AI

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

Link