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Subject:
From:
Werner Geyer <[log in to unmask]>
Reply To:
Werner Geyer <[log in to unmask]>
Date:
Mon, 25 Nov 2019 07:12:14 -0500
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2nd CFP: HAI-GEN 2020 - IUI 2020 Workshop on Human-AI Co-Creation with
Generative Models

Cagliari, Italy, Tuesday, March 17
https://hai-gen2020.github.io/
Contact: [log in to unmask]



Held in conjunction with ACM Intelligent User Interfaces (IUI) Cagliari,
Italy, 17 - 20 March 2020

*** Paper & Demo Submission Deadline: December 20, 2019 ***


INTRODUCTION



Recent advances in generative modeling through deep learning approaches
such as generative adversarial networks (GANs), variational autoencoders
(VAEs), and sequence-to-sequence models will enable new kinds of user
experiences around content creation, giving us “creative superpowers.”
While the areas of computational design, generative design, and
computational art have existed for some time, recent breakthroughs in deep
learning have demonstrated examples of AI-generated content
indistinguishable from human-generated content. These examples --- such as
deep fake videos --- also highlight some of the significant societal,
ethical and organizational challenges generative AI is posing including
security, privacy, ownership, quality metrics and evaluation of generated
content.

The goal of this half-day workshop is to bring together researchers and
practitioners from both fields HCI and AI to explore the opportunities and
challenges of generative modelling from an HCI perspective. We envision
that the user experience of creating both physical and digital artifacts
will become a partnership of humans and AI: humans will take the role of
specification, goal setting, steering, high-level creativity, curation, and
governance. AI will augment human abilities through inspiration, low level
creativity and detail work, and the ability to test ideas at scale.



SUBMISSION GUIDELINES



We are accepting submissions in the form of short papers (4 pages), long
papers (10 pages), and demos following the IUI guidelines for papers (
https://iui.acm.org/2020/call_for_papers.html) and demos. (
https://iui.acm.org/2020/call_for_demo_poster.html).



Encouraged topics related to generative modelling include but are not
limited to:



* Novel user experiences supporting the creation of both physical and
digital artifacts in an AI augmented fashion
* Business use cases of generative models
* Novel applications of generative models
* Techniques, methodologies, and algorithms that enable new user
experiences and interactions with generative models and allow for directed
and purposeful manipulation of the model output
* Governance, privacy, content ownership, societal impact
* Security including forensic tools and approaches for deep fake detection
* Evaluation of generative approaches and quality metrics
* Lessons learned from computational art and design, and generative design
and how these impact research



All papers will be peer reviewed, single blind (i.e. author names and
affiliations should be listed). If accepted, at least one of the authors
must attend the workshop to present the work.



A workshop summary will be included in the ACM Digital Library for IUI
2020. While papers and demos are not part of the archival ACM IUI
proceedings, we will be published them online at CEUR: http://ceur-ws.org/



Please submit your papers & demos to EasyChair:
https://easychair.org/my/conference?conf=haigen2020#




IMPORTANT DATES
Paper & Demo Submission Deadline: December 20, 2019 AoE
Acceptance Notifications: January 14, 2020
Camera-Ready Submission Date: February 18, 2020
Workshop date: March 17, 2020




KEYNOTE SPEAKER
Douglas Eck, Google AI, Magenta Team




ORGANIZERS
Werner Geyer, IBM Research AI
Lydia B. Chilton, Columbia University
Ranjitha Kumar, University of Illinois at Urbana-Champaign
Adam Tauman Kalai, Microsoft Research



PROGRAM COMMITTEE
Nancy Baym, Microsoft Research
Zoya Bylinskii, Adobe Research
Carrie Cai, Google
Peter Daalsgard, Aarhus University
Sebastian Gehrmann, Harvard School of Engineering
Katy Gero, Columbia University
Per Ola Kristensson, University of Cambridge
Jacquelyn Martino, IBM Research AI
Mauro Martino, IBM Research AI
Michael Mateas, University of California, Santa Cruz
Antii Oulasvirta, Aalto University
Dafna Shahaf, Hebrew University of Jerusalem
Akash Srivastava, IBM Research AI
Hendrik Strobelt, IBM Research AI
Michael Terry, Google
Steven Wu, University of Minnesota
Haiyi Zhu, Carnegie Mellon University

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