HAI-GEN 2021: 2nd Workshop on Human-AI Co-Creation with Generative Models

 *** Submissions due Dec 23 ***

 Held in conjunction with ACM Intelligent User Interfaces (IUI) 2021, April
 13-17, College Station (TX), USA.

 https://hai-gen2021.github.io/


 Recent advances in deep learning approaches to generative AI, such as
 generative adversarial networks (GANs), variational autoencoders (VAEs),
 and language models will enable new kinds of user experiences around
 content creation. These advances have enabled content to be produced with
 an unprecedented level of fidelity. In many cases, content generated by
 generative models is either indistinguishable from human-generated content
 or could not be produced by human hands. We believe that people skilled
 within their creative domain can realize great benefits by incorporating
 generative models into their own work: as a source of inspiration, as a
 tool for manipulation, or as a creative partner. However, recent deep-fake
 examples of prominent business leaders highlight the significant societal,
 ethical, and organizational challenges generative AI poses around issues
 such as security, privacy, and ownership.

 The goal of this workshop is to bring together researchers and
 practitioners from the domains of HCI & AI to establish a joint community
 to deepen our understanding of the human-AI co-creative process and to
 explore the opportunities and challenges of creating powerful user
 experiences with deep generative models. We envision that the user
 experience of creating both physical and digital artifacts will become a
 partnership between people and AI: people will take the role of
 specification, goal setting, steering, high-level creativity, curation,
 and governance, whereas AI will augment human abilities through
 inspiration, creativity, low-level detail work, and the ability to design
 at scale.

 We are accepting submissions in the form of short papers (6 pages), long
 papers (14 pages), and demos (6 pages) following the IUI submission
 guidelines for papers. Submissions are encouraged, but not limited to, the
 following topics:
 * Novel, AI-augmented user experiences  that support the creation of
 physical and/or digital artifacts}
 * Business use cases & novel applications of generative models
 * Techniques, methodologies, & algorithms that enable new user experiences
 and interactions with generative models and allow for directed and
 purposeful manipulation of the model output
 * Issues of governance, privacy, and ownership of AI-generated or human-AI
 co-created content
 * Security, including forensic tools and approaches for deep fake
 detection
 * Evaluations of human-AI co-creative processes and quality metrics of
 AI-generated or human-AI co-created content
 * User research on needs & algorithmic requirements for co-creative
 systems, perceptions of human-AI co-creative systems, trust of co-creative
 tools & artifacts, and/or implications for HCI theories
 * Lessons learned from computational art & design and generative design,
 and how these impact research

 All papers will undergo a single blind peer review (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.
 Please submit your papers & demos to EasyChair:
 https://easychair.org/conferences/?conf=haigen2021

 KEYNOTE SPEAKERS
 Refik Anadol, http://refikanadol.com
 Refik is a media artist, director, and pioneer in the aesthetics of
 machine intelligence. His work addresses the challenges, and the
 possibilities, that ubiquitous computing has imposed on humanity, and what
 it means to be a human in the age of AI.

 Maya Ackerman, https://maya-ackerman.com
 Maya is a researcher and entrepreneur in the fields of Machine Learning
 and Computational Creativity. She was named "2020 Woman of Influence" by
 the Silicon Valley Business Journal. She is the CEO & Co-Founder of
 WaveAI, a musical AI startup, and she is an Assistant Professor at the
 Department of Computer Science and Engineering at Santa Clara University.
 She is also an accomplished singer and music producer.

 IMPORTANT DATES
 Paper & Demo Submissions: December 23, 2020 AoE
 Acceptance Notifications: January 31, 2021
 Camera-Ready Submissions: February 28, 2021
 Workshop Date:            April 13, 2021

 ORGANIZING COMMITTEE
 Werner Geyer, IBM Research AI
 Lydia B. Chilton, Columbia University
 Justin D. Weisz, IBM Research AI
 Mary Lou Maher, University of North Carolina, Charlotte


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