Call for Papers

Key Dates

Paper Deadline: ~~October 22, 2025 (AoE)~~ October 23, 2025 (AoE)
Notification: ~~November 5, 2025~~ November 8, 2025, (AoE)
Camera-ready: Dec 1, 2025, (AoE) (Authors of accepted papers can deanonymize the paper and update the paper in openreview)

All deadlines follow the Anywhere on Earth (AoE) timezone.

Submission Site

Submit papers through the Deployable AI Workshop Submission Portal on OpenReview (Workshop Submission Portal)

Scope

We welcome contributions across a broad spectrum of topics, including but not limited to:

Deployable AI: Concepts and Models
Privacy-Preserving AI
Language Models & Deployability
Explainable and Interpretable AI
Fairness and Ethics in AI
AI models and social impact
Trustworthy AI models

Submission Guidelines

Format: All submissions must be a single PDF file. We welcome high-quality original papers in the following two tracks:

Short Papers: 4 pages
Long Papers: 7 pages

References and appendices are not included in the page limit, but the main text must be self-contained. Reviewers are not required to read beyond the main text

IAAI-26 Special Track Resubmision: Authors of papers submitted to IAAI-26 that are not accepted are invited to consider submitting their work to the DAI-2026 Workshop, which focuses on Deployable AI. Submissions should align with the scope of the workshop.

You will need to submit a 2-page review response pdf including the reviews. Please follow the AAAI-style format for review response also.

Style file: You must format your submission using the AAAI 2026 LaTeX style file. Please include the references and supplementary materials in the same PDF. The maximum file size for submissions is 50MB. Submissions that violate the AAAI style (e.g., by decreasing margins or font sizes) or page limits may be rejected without further review.

Dual-submission and non-archival policy: We welcome ongoing and unpublished work. We will also accept papers that are under review at the time of submission, or that have been recently accepted, , provided they do not breach any dual-submission or anonymity policies of those venues. The workshop is a non-archival venue and will not have official proceedings. Workshop submissions can be subsequently or concurrently submitted to other venues.

Visibility: Submissions and reviews will not be public. Only accepted papers will be made public.

Double-blind reviewing: All submissions must be anonymized and may not contain any identifying information that may violate the double-blind reviewing policy. This policy applies to any supplementary or linked material as well, including code. If you are including links to any external material, it is your responsibility to guarantee anonymous browsing. Please do not include acknowledgements at submission time. If you need to cite one of your own papers, you should do so with adequate anonymization to preserve double-blind reviewing. Any papers found to be violating this policy will be rejected.

Contact: For any questions, please contact us at [email protected].

Schedule

TBD

Tentative Schedule

This is the tentative schedule of the workshop. All slots are provided in local time.

Morning Session

08:30 AM - 08:35 AM	Introduction and Opening Remarks
08:35 AM - 09:10 AM	Keynote 1- AI Capabilities vs. AI Deployment: Models and methods to fill the gap, Prof. Ramayya Krishnan, Carnegie Mellon University
09:10 AM - 09:20 AM	Oral Talk 1- DETNO: A DIFFUSION-ENHANCED TRANSFORMER NEURALOPERATOR FOR LONG-TERM TRAFFIC FORECASTING
09:20 AM - 9:55 AM	Keynote 2- Towards Reliable Assistance: Safety and Security in Sequential Decision-Making, Pradeep Varakantham Singapore Management University
09:55 AM- 10:05 AM	Oral Talk 2- Dynamic Orthogonal Continual Fine-tuning for Mitigating Catastrophic Forgetting of LLMs
10:05 AM - 11:05	Break and Poster Session 1
11:05 AM- 11:15 AM	Oral Talk 3 - 3D Optimization for AI Inference Scaling: Balancing Accuracy, Cost, and Latency
11:15 AM - 12:15 PM	Poster Session 2
12:20 PM - 12:30 PM	Oral Talk 4 - Alignment-Constrained Dynamic Pruning for LLMs: Identifying and Preserving Alignment-Critical Circuits
12:30 PM - 2:00 PM	Lunch Break
2:00 PM - 2:10 PM	Oral Talk 5- V-OCBF: Learning Safe Filters from Offline Data via Value-Guided Offline Control Barrier Functions
2:10 PM - 2:45 PM	Keynote 3- Abstract: TBD Pang Wei Koh University of Washington
2:45 PM - 2:55 PM	Oral Talk 6- Explainability Methods Can Be Biased: An Empirical Investigation of Gender Disparity in Post-hoc Methods
2:55 PM - 4:00 PM	Break 2 and Poster Session 3
4:00 PM - 4:35 PM	Keynote 4: Foundation Motion: Auto-Labeling and Reasoning about Spatial Movement in Videos, Boyi Li, Nvidia Research, UC Berkeley
4:35 PM - 5:05 PM	TBD
5:05 - 5:10 PM	Closing Remarks