* Description of workshop: For the past few years, we have witnessed eye-opening generation results from AI
foundation models such as GPT-3, and DALL-E2. These models have set up great infrastructures for new types of
creative generation across various modalities such as language (e.g. story generation), images (e.g. text-to-image
generation, fashion design), and audio (e.g. lyrics-to-music generation). Researchers in these fields encounter
many similar challenges such as how to use AI to help professional creators, how to evaluate creativity for an AI
system, how to boost the creativity of AI, how to avoid negative social impact, and so on. There have been various
workshops that focus on some aspects of AI generation. This workshop aims to bridge researchers and
practitioners from NLP, computer vision, music, ML, and other computational fields to create the 1st workshop on
“Creative AI across Modalities”.
* Topics: This multidisciplinary workshop will broadly explore topic areas including, but not limited to:
· Creative language generation: stories, poetry, figurative languages.
· Generative model and algorithms for image/audio, and multi-modal/video generation.
· Theory and analysis for creativity (e.g., humor understanding)
· Detecting and quantifying creativity
· AI technologies for improving human creativity (e.g., HCI+ML studies to accelerate scientific novelty)
· Data and resources for creative generation
· Applications of creative AI generation, such as automatic video dubbing
· Novel evaluation for creative AI generated outputs
· Social, cultural, and ethical considerations of creative AI generations, such as racial/gender bias,
trustworthiness
* Format of workshop: This workshop will be a one-day hybrid event (on 2/13/2023), consisting in person and
virtual talks from invited speakers, an in-person panel discussions, and hybrid paper presentations (oral and
posters).
* Submission requirements: Authors are invited to send the following relevant work, either archival or non-
archival, in the AAAI-23 proceedings format:
· Long paper: Submission of original work up to eight pages in length (including references).
· Short paper: Submission of work in progress with preliminary results, and position papers, up to four
pages in length (+ references).
* Submit to: Submission is through the OpenReview:
https://openreview.net/group?id=AAAI.org/2023/Workshop/creativeAI
* Workshop Chair: Dr. Jing Huang (Alexa AI, jhuangz@amaon.com)
* Workshop Committee: Prof. Nanyun (Violet) Peng (UCLA, violetpeng@cs.ucla.edu); Prof. Mohit Bansal (UNC Chapel Hill,
mbansal@cs.unc.edu); Prof. Julian McAuley (UCSD, jmcauley@eng.ucsd.edu); Prof. Jiajun Wu (Stanford,
jiajunwu@cs.stanford.edu); Dr. Arindam Mandal (Alexa AI, arindamm@amazon.com); Dr. Prithviraj Ammanabrolu
(Allen Institute for AI, raja@allenai.org); Dr. Faeze Brahman (Allen Institute for AI, fbrahman@ucsc.edu); Dr.
Ruohan Gao (Stanford, rhgao@cs.stanford.edu); Dr. Haw-Shiuan Chang (Alexa AI, chawshiu@amazon.com).
* Workshop URL: https://creativeai-ws.github.io/