Artificial Intelligence has, over the past few years, moved decisively from research prototypes into deployed systems across multiple high-impact domains. This rapid transition has made reliable deployment of AI models a central challenge. The systems that perform well during validation tests have also produced well-documented failures once deployed. These failures are not incidental; they recur across domains and are driven by structural causes such as data drift, unrepresentative training populations, and evaluation regimes that do not resemble deployment conditions. These challenges motivate the Deployable AI workshop, which aims to bridge the gap between strong model performance and the reliable deployment of AI systems in the field.

This workshop will address these critical research questions for responsible AI deployment. Specifically, the workshop will focus on algorithmic, systemic, and societal considerations to ensure that our AI models adhere to rigorous standards for fairness, ethics, explainability, privacy, and security.

The 5th Workshop of Deployable AI (DAI 2027) will be held at the AAAI 2027 conference on February 22nd/23rd, 2027, with a special focus on the Deployability Aspects of AI Agents.

Topics: We invite submissions on the theoretical foundations, algorithmic techniques, and practical strategies to ensure the responsible deployment of AI models. The topics of interest include, but are not limited to, the following:

• Deployable AI: Concepts and Models

• Responsible AI and Agents

• Privacy-Preserving AI and Agents

• Mechanistic Interpretability

• Explainable and Interpretable AI

• Bias, Fairness, and Ethics in AI

• Safety and Security in AI

• Deployable AI for Science

• AI for social impact (including Global South deployment) 

• Trustworthy AI models

Length of the Workshop: 1 day

Email ID: dai2023workshop@gmail.com

Important Dates:

Submission Opens: 13 October 2026

Workshop Submissions Due to Organizers: November 20, 2026

Notifications Sent to Authors: December 2, 2026

Workshop to be held on February 22nd/23rd, 2027

Submission Site: https://openreview.net/group?id=AAAI.org/2027/Workshop/DAI

Organizers:

1. Balaraman Ravindran(Senior member AAAI)

Chair and main contact, ravi@dsai.iitm.ac.in, Wadhwani School of Data Science & AI, IIT Madras

2. Krishna Pillutla, krishnap@dsai.iitm.ac.in, Wadhwani School of Data Science & AI, IIT Madras

3. Arpita Biswas arpita.biswas@live.in, Department of Computer Science, Rutgers University

4. Aravindan Raghuveer araghuveer@google.com, Google DeepMind India.

5. Gokul S Krishnan, gokul@cerai.in, CeRAI, IIT Madras.

Working Committee:

1. Pulkit Verm, pulkitv@cse.iitm.ac.in, CSE, IIT Madras

2. Sowmya S. Sundram, sowmya@cerai.in, CeRAI, IIT Madras

3. Niyati Chhaya, niyati.chhaya@hyperbots.com, Hyperbots

4. Devika Jay, devikajay@gmail.com, CeRAI, IIT Madras.

5. Rahul Vashisht, rahul@cse.iitm.ac.in, Independent Researcher