ICML 2024 invites submissions for a new position paper track. The goal is to highlight papers that stimulate (productive, civil) discussion on timely topics that need our community’s input.
Submissions to the position paper track will be judged primarily on whether they present a compelling perspective that warrants greater exposure within the machine learning community. Position papers should meet standard ICML expectations for scholarship, including the use of evidence and reasoning to support claims, inclusion of relevant background and context, and the attribution of others' work via appropriate citations.
We want to hear your ideas! Position papers may address any aspect relevant to machine learning, including (but very much not limited to) the following:
• The strengths and limitations of current LLM approaches to intelligent systems
• The role of open-source versus closed-source ML models for research
• Data legality and copyright aspects of model training procedures
• The role of privacy in machine learning training and deployment
• Implications of the shift to foundation models for many machine learning tasks
• Assessing ongoing trends in machine learning scholarship
• Concerns of the AI ethics community or the AI/AGI safety community
• The use of ML technology in social media or other venues that raise concerns about the spread of misinformation
• Research priorities for ML
• How can we improve the beneficial impact of our community’s work
Submission deadline: February 1, 2024
More details:
https://icml.cc/Conferences/2024/CallForPositionPapers
Cheers,
Kiri Wagstaff
ICML 2024 Position Paper Track Chair
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Kiri Wagstaff
wk...@wkiri.com