AI/ML has made tremendous progress in recent years, especially with the advent of deep learning. With sophisticated data-driven models and algorithms arise several challenges related to deployability. This conference is a forum to exchange state of the art ideas on the broad theme of deployable AI (DAI) with a specific focus on three sub themes relevant to DAI.
Submissions Closed.
Authors of accepted abstracts will be notified by March 1, 2022.
Topics
We invite submission of extended abstracts focussing on, but not limited to, the following themes
- • Algorithms for Explainable AI/ML
- • Interpretable AI/ML
- • Fairness and ethics in AI/ML
- • Accountability and transparency in AI
- • Causal models in AI
- • Deployability and HCI
- • Generative Models for HCI
- • AI for Edge applications
- • Hardware specific algorithms for AI
- • Low power ML/AI
- • Quantization algorithms for AI
Submission Guidelines
The abstracts should be 2 pages long (excluding the references) and must be formatted in
accordance with the ACM format
(1 column) and must be submitted as a PDF file. Examples of Two Page extended Abstracts are available
in this link for your reference.
Selected abstracts will get a chance to
present their work in poster format during the conference and can optionally submit an
extended video (20 mins) that will be published on the conference webpage. All authors
of the selected abstracts will receive a complete waiver of the conference registration
fee. All submissions will be reviewed by an international committee of academic/industrial
experts and the top few submissions will receive an award during the conference. There won't
be any proceedings for this conference.
Awards
1st Prize -$500
2nd Prize -$300
3rd Prize -$200
- * Awards will be given under the sole discretion of the commitee.