Call For Participation

Submission Portal is now open on OpenReview.

Artificial intelligence (AI) and Human-Computer Interaction (HCI) share common roots: early work on conversational agents has laid the foundation for both fields. However, sharing a common history, economic and political influences have driven these fields to remain separate in subsequent decades. The recent rise of data-centric methods in machine learning has propelled few-shot emergent AI capabilities, resulting in a raft of practical tools. In particular, modern AI techniques now power new ways for machines and humans to interact. Recently, a wave of HCI tasks has been proposed to the machine learning community, which direct AI research by contributing new datasets and benchmarks, and challenging existing modeling techniques, learning methodologies, and evaluation protocols. Machine learning techniques have been developed for a variety of tasks, including user-interface understanding, UI generation, accessibility, and reinforcement learning from human feedback.

This workshop offers a forum for researchers to discuss these new research directions, identify important challenges, showcase new computational and scientific ideas that can be applied, share datasets/tools that are already available, or propose those that should be further developed. 

We will explore topics that include (but are not limited to):

• User interface modeling for understanding and generation

• Reinforcement learning with human feedback (RLHF)

• Explainable and interpretable machine learning methods

• Generative AI and creativity tools

• Human evaluation methods

• Personalizable and correctable machine learning models

• Novel human interactions with models

• Active learning and human-in-the-loop systems

• Ethics and fairness-based models, interactions, and evaluations

• Tools and datasets to accelerate works at the intersection of HCI and AI

• Challenges in working at the intersection of AI and HCI

Acknowledging the diversity of work in both HCI and AI, we welcome position papers, empirical (qualitative, quantitative, or mixed-methods) work, and theoretical work, among others.

Participants should submit a paper that is 2-8 pages long in the ICML 2023 paper format. The review process is double-blind, and papers will be selected based on their relevance, quality, and diversity. Papers will be evaluated by contributions proportional to their length. Accepted papers are non-archival.

Paper submissions are due May 26th, 2023. Anywhere on Earth (AOE) Time on OpenReview. Notifications will be sent out by June 19th, 2023. The day of the workshop will be July 29th, 2023. 

This workshop is a full-day workshop. At least one author of each accepted paper must attend the workshop and be able to present at our poster session– either in-person (preferred!) or virtually. Please note that ICML 2023 is a predominately in-person conference and therefore has limited support for virtual presenters and attendees. As such, all presenters who plan to attend virtually will be asked to make a recorded 5-min talk, in addition to the paper and poster. If you cannot come in person due to visa or travel issues, please email us at aihci@googlegroups.com.