RaD-AI23: Rebellion and disobedience in AI International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2023 May 30, 2023 |
| Conference website | https://sites.google.com/view/rad-ai/home |
| Submission link | https://easychair.org/conferences/?conf=radai23 |
Call for Papers
AAMAS-23 Workshop on Rebellion and Disobedience in AI (RaD-AI)
https://sites.google.com/view/rad-ai/home
Most existing research on collaborative robots and agents, assume that a “good” agent is one that complies with the commands it is given and works in a predictable manner under the consent of the human it serves. The goal of this workshop is to challenge this assumption and to rethink the desired abilities and responsibilities of collaborative agents:
When and how should an artificial agent rebel, reject a command, or otherwise disobey?
We invite the participation of researchers interested in directly addressing Rebellion and Disobedience in AI (RaD-AI) agents, as well as submissions on RaD-AI and related topics relevant for designing, developing, demonstrating, or evaluating RaD-AI agents, including but not limited to:
Plan Recognition
Goal Reasoning
Value Alignment
Human-Agent Interaction
Effective Altruism
Paper Submissions:
Papers should be submitted through EasyChair: https://easychair.org/conferences/?conf=radai23
We accept submissions of the following types: regular research papers (up to 6 pages), position papers (up to 2 pages), and tool talks (up to 2 pages).
Papers must be in high-resolution PDF format, formatted for US Letter (8.5" x 11") paper, using Type 1 or TrueType fonts. Reviews are double-blind, and submissions must conform to the AAMAS-23 submission instructions found here: https://aamas2023.soton.ac.uk/calls/submission-instructions.
Dates:
January 20, 2023: Workshop Paper Submission Deadline
March 13, 2023: Acceptance Notifications Emailed to Authors
TBD: Workshop Registration Deadline
May 29 or 30, 2023 (TBD): Workshop
Organizing Committee (alphabetized):
David W. Aha, Navy Center for Applied Research in AI, Naval Research Laboratory
Gordon Briggs, Navy Center for Applied Research in AI, Naval Research Laboratory
Reuth Mirsky, Computer Science Department, Bar Ilan University (Primary POC: reuthde@gmail.com)
Ram Rachum, Computer Science Department, Bar-Ilan University
Kantwon Rogers, College of Computing, Georgia Institute of Technology
Peter Stone, Computer Science Department, The Univer sity of Texas at Austin & Sony AI