[CFP - DAI Workshop @ AAAI 2024] 2nd Workshop on Deployable AI @ AAAI 2024
Rahul Vashisht
2nd Workshop on Deployable AI @ AAAI 2024
Artificial Intelligence (AI) has evolved into a vast interdisciplinary research area and we have reached an era where AI is beginning to be deployed as real world solutions across various sectors/domains. Over the last few years, Generative AI in the form of models like GPT4, Bard, etc. have not only garnered interest across several sectors and shown tremendous success in various tasks, but also has begun to see its applications in various sectors in naive ways. Moving to a wider scope of deployment of these AI models into the real world is not just a simple question of translational research and engineering but also requires several fundamental research questions and issues, involving algorithmic, systemic and societal aspects, to be addressed, while also adhering to Responsible AI standards with respect to Fairness, Ethics, Privacy, Explainability and Security. This will be the second edition of DAI Workshop after DAI Workshop @ AAAI 2024.
The 2nd Workshop of Deployable AI (DAI 2024) will be held at the AAAI 2024 conference on February 26th/27th, with a special thematic focus on “Responsible AI”. The goal of this workshop is to bring together AI (fundamental and applied) researchers, domain experts from multiple disciplines and computer/software architects in a single venue to enable and enhance research in getting AI models ready to be deployed in the real world in a responsible manner. The workshop is organized by faculty members and researchers from the Indian Institute of Technology (IIT) Madras and supported by Robert Bosch Centre for Data Science and AI (RBCDSAI) and Centre for Responsible AI (CeRAI).
In this workshop, we intend to focus on research works that propose models that can be deployed as real world solutions and more importantly propose techniques/strategies that enable and ensure ideal deployment of AI models as real world solutions while adhering to various standards and aspects of deployability and Responsible AI. The works may address several aspects and research questions of Deployable/Responsible AI and its implications on each other, for instance, does addressing robustness of the AI system impact the fairness towards beneficiaries of the system? Does distilling to the edge impact Robustness of the system? And so on. DAI Workshop @ AAAI 2023 was the first workshop that put several aspects of deployability together in a single venue and the quality of discussion in the last event emphasized the need to enable the discovery of synergies across these aspects and potential conflicts between the different requirements of deployability. This workshop further aims to bring together researchers who can build real-world-ready solutions from multiple disciplines/domains and computer researchers and strategists who can ensure and enable the deployability of such AI based solutions in a responsible manner. The workshop also intends to become an interdisciplinary platform for these researchers to spark interesting discussions that could potentially provoke constructive thoughts on theorizing how we can ensure responsible design, development and deployment of AI models.
We are particularly interested in participants who can contribute to theory and techniques/strategies to ensure adherence to the various aspects of deployability of AI models into the real world as socially impactful solutions.
We also invite people to present their already published works in this multidisciplinary platform for knowledge transfer as well as potentially constructive/critical feedback and thought provoking discussions regarding design, development and deployment of AI models and their adherence to Responsible AI standards.
Deployable AI -- Concepts and Models
Responsible AI
Language Models \& Deployability
Explainable and Interpretable AI
Human-in-the-loop AI
Online Learning and Transfer Learning
Few Shot Learning Models
Fairness and Ethics in AI
Safety, Security and Privacy in AI
Cryptography and AI
Integrity and Robustness in AI
Computational Scalability and Reliability in AI
AI on the Edge
Distil and Lightweight AI Models
Learning from Drifting Data Distributions
AI models and social impact
Length of the workshop:
1 day
Format:
Invited Talks: Talks by eminent researchers in the field.
Contributed Talks: Short talks based on the accepted papers.
Poster session: Poster presentation of all accepted papers.
Panel Discussion: A panel discussion by invited speakers and organizers about the future challenges.
Submission Instructions:
You are invited to submit:
– Poster/short/position papers (up to 4 pages)
– Full papers (up to 7 pages)
The submissions should adhere to the AAAI paper guidelines available at https://aaai.org/aaai-publications/aaai-publication-policies-guidelines/
Submissions can be made on the EasyChair portal using the following link: https://easychair.org/conferences/?conf=dai2024
Accepted submissions will have the option of being posted online on the workshop website or be uploaded on arxiv. The submissions need to be anonymized.
Important Dates:
Workshop Submissions Due to Organizers: November 24, 2023
Organizers send acceptance/rejection letters to participants: December 11, 2023
Workshop to be held on: February 26th, 2024
Website:
https://sites.google.com/view/dai-2024/home
Organizers:
1. Balaraman Ravindran, Dept. of CSE, Head | RBCDSAI, Head | CeRAI, Indian Institute of Technology Madras, Chennai, 600036.
2. Arun Rajkumar, Dept. of CSE, IIT Madras.
3. Harish Guruprasad, Dept. of CSE, IIT Madras.
4. Chandrashekar Lakshminarayanan, Dept. of CSE, IIT Madras.
5. Gokul S Krishnan, CeRAI, IIT Madras.
6. Devika Jay, CeRAI, IIT Madras.
7. Sanjay Karanth, CeRAI, IIT Madras.
8. Rahul Vashisht, Dept. of CSE, IIT Madras
Regards
Rahul