Important Dates

Following are the proposed important dates for the workshop. All deadlines are due 11:59pm Pacific Time.

Topic of interest (including but not limited to)

This workshop will provide a premium platform for both research and industry from different backgrounds to exchange ideas on opportunities, challenges, and cutting-edge techniques in ethical AI. We encourage submissions in various degrees of progress, such as new results, visions, techniques, innovative application papers, and progress reports under the topics that include, but are not limited to, the following broad categories:

And with particular focuses but not limited to these application domains:

CFP Guidelines

Submissions are limited to a total of 5 pages, including all content and references. There will be no page limit for supplemental materials. All submissions must be in PDF format and use ACM Conference Proceeding templates (two column format). One recommended setting for Latex file of anonymous manuscript is: \documentclass[sigconf, anonymous, review]{acmart}. Template guidelines are here: https://www.acm.org/publications/proceedings-template.

Following this KDD conference submission policy, reviews are double-blind, and author names and affiliations should NOT be listed. Submitted papers will be assessed based on their novelty, technical quality, potential impact, and clarity of writing. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well-executed, and repeatable. Authors are strongly encouraged to make data and code publicly available whenever possible. The accepted papers will be posted on the workshop website but will not be included in the KDD proceedings.

Submit your paper through the EAI-KDD workshop CMT submission site: https://cmt3.research.microsoft.com/EAIKDD2022/Submission/Index

Any questions may be directed to the email address: chen.zhao@kitware.com

Attendance

For each accepted paper, at least one author must attend the conference and present the paper.