Vol. 34 No. 04: AAAI-20 Technical Tracks 4
Thirty-Fourth AAAI Conference on Artificial Intelligence
Thirty-Second Conference on Innovative Applications of Artificial Intelligence
The Tenth Symposium on Educational Advances in Artificial Intelligence
Sponsored by the Association for the Advancement of Artificial Intelligence
February 7–12, 2020, New York Hilton Midtown, New York, New York, USA
Published by AAAI Press, Palo Alto, California USA
Copyright © 2020, Association for the Advancement of Artificial Intelligence
All Rights Reserved
ISSN 2374-3468 (Online)
ISSN 2159-5399 (Print)
ISBN 978-1-57735-835-0 (10 issue set)
The Thirty-Fourth AAAI Conference on Artificial Intelligence was held on February 7–12, 2020 in New York, New York, USA. The surge in public interest in AI technologies, which we have witnessed over the past few years, continued to accelerate in 2019–2020, with the societal and economic impact of AI becoming a central point of public and government discussion worldwide. AAAI-20 saw submissions and attendance numbers that were records in the history of the AAAI series of conferences and continued its tradition of attracting top-quality papers from all areas of AI. We were excited to see increases in submissions across almost all areas.
The AAAI-20 program consisted of a core technical program of original research presentations, including a special track on AI for social impact and a sister conference track. It additionally featured a broad range of tutorials, workshops, invited talks, panels, student abstracts, a debate, and presentations by senior members. The program was rounded out by technical demonstrations, exhibits, an AI job fair, the AI in Practice program, a student outreach program, and a game night. The conference also continued its tradition of colocating with the long-running IAAI conference and the EAAI symposium, as well as the newer conference on AI, Ethics, and Society.
The proceedings have been published in 10 consecutive issues. This issue (volume 34 no. 4) consists of 3,926 pages and one track:
AAAI Technical Track on Machine Learning