[PlanetKR] [2nd Call for Papers] Deadline Extension: AAAI 2024 Spring Symposium on User-Aligned Assessment of Adaptive AI System

Pulkit Verma pulkitverma25 at gmail.com
Sun Dec 17 17:36:41 UTC 2023

[Apologies for cross-posting]

AAAI 2024 Spring Symposium on User-Aligned Assessment of Adaptive AI Systems
Stanford University, Stanford, CA, USA | March 25-27, 2024
Symposium Website


Although there is a growing need for independent assessment and regulation
of AI systems, broad questions remain on the processes and technical
approaches that would be required to conceptualize, express, manage,
assess, and enforce such regulations for adaptive AI systems.

This symposium addresses research gaps in assessing the compliance of
adaptive AI systems (systems capable of planning/learning) in the presence
of post-deployment changes in requirements, in user-specific objectives, in
deployment environments, and in the AI systems themselves.

These research problems go beyond the classical notions of verification and
validation, where operational requirements and system specifications are
available a priori. In contrast, adaptive AI systems such as household
robots are expected to be designed to adapt to day-to-day changes in the
requirements (which can be user-provided), environments, and as a result of
system updates and learning. The symposium will feature invited talks by
researchers from AI and formal methods, as well as talks on contributed

Topics of interest include:


   Assessment of AI system capabilities.

   Algorithmic paradigms for assessment of safety and/or compliance of AI
   systems with evolving regulations.

   Learning predictive models of agent capabilities.

   Self-assessment and monitoring.

   Differential assessment of AI systems following system updates or

   Assessment of black-box AI systems.

   Types of assessment frameworks and ecosystems.

   Specification languages and representations for specifying requirements
   on AI systems.

   Assessment of LLM-based agents.

   Specification and assessment of compliance w.r.t. ethics/ethical

   Regulation, management, and enforcement of AI assessment paradigms.


Kamalika Chaudhuri <https://cseweb.ucsd.edu/~kamalika/>, University of
California San Diego, and Meta AI

Sriraam Natarajan <https://personal.utdallas.edu/~sriraam.natarajan/>,
University of Texas Dallas

Stuart Russell <http://people.eecs.berkeley.edu/~russell/>, University of
California Berkeley

Sriram Sankaranarayanan <https://home.cs.colorado.edu/~srirams/>,
University of Colorado Boulder

Sanjit A. Seshia <https://people.eecs.berkeley.edu/~sseshia/>, University
of California Berkeley


The symposium will feature invited talks, a selected set of contributed
talks, and discussions. The symposium will be in-person and is scheduled for
2.5 days.


Submissions will take the form of extended abstracts with a first author
who will be the speaker, and each speaker cannot have more than one
submission as first author. Each submission must be 1-2 pages long,
excluding references (in the AAAI 2024 style available here
and may refer to joint work with other collaborators. Co-authored papers
should list the expected speaker as the first author of the paper.

Submissions can be a summary/survey of recent results, new research, or a
position paper. There are no formal proceedings, and we encourage
submissions of work presented or submitted elsewhere (no copyright transfer
is required, only permission to post the abstract on the symposium site).

Papers can be submitted via EasyChair at
https://easychair.org/my/conference?conf=aia2024. Additional details are
available on the symposium website <https://aair-lab.github.io/aia2024/>.



   Paper submission deadline: December 22, 2023 January 15, 2024 (AoE,
   11:59 PM UTC-12)

   Author notification: January 31, 2024

   Symposium date: March 25-27, 2024


Pulkit Verma <https://pulkitverma.net/>, Arizona State University.
Rohan Chitnis <https://rohanchitnis.com/>, Meta AI.
Georgios Fainekos <https://www.fainekos.net/>, Toyota Motor North America

Hazem Torfah <https://people.eecs.berkeley.edu/~hazem.torfah/>, Chalmers
University of Technology.

Siddharth Srivastava <http://siddharthsrivastava.net/>, Arizona State
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