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 with a focus on issues surrounding explainability in AI.


We invite submission of extended abstracts focussing on, but not limited to, the following themes

  1. Algorithms for Explainable AI/ML
  2. Interpretable AI/ML
  3. Fairness and ethics in AI/ML
  4. Accountability and transparency in AI
  5. Causal models in AI
  6. Deployability and HCI
  7. Novel Industrial use cases/ applications of Explainable AI/ML

Submission Guidelines

The abstracts should be 1-2 pages long and must be formatted in accordance with the ACM format and must be submitted as a PDF file. 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.


The top five submissions (judged based on abstract and presentation) will receive a monetary award during the conference.

$500 for the best, $300 for the second-best and $100 for the next 3 best submissions.

Important Dates

Submission Deadline:

21st May 2021

Notification of Acceptance:

31st May 2021

Deadline for Submitting optional video:

7th June 2021

Camera Ready Submission:
10th June 2021