ICML 2025 Call for Position Papers (due Jan. 30, 2025)

[Kiri Wagstaff]

We are pleased to invite the submission of position papers to be published at the International Conference on Machine Learning (ICML) conference in July 2025. Abstracts are due by January 23, 2025, and full papers are due by January 30, 2025. Position papers make an argument for a viewpoint or perspective about what should be done, in contrast to research track papers, which report on advances that have already been accomplished. Position papers also generally adopt a meta-level perspective on the field of machine learning, with wider scope than any individual area.

The review criteria for position papers differs from those of the main conference track. Submissions to the main ICML conference track emphasize original research and novel results. In contrast, submissions to the position paper track will be judged primarily on whether they present a compelling position that warrants greater exposure within the machine learning community (regardless of whether a reviewer agrees with the position). The goal of this track is to highlight papers that stimulate (productive, civil) discussion on timely topics that need our community’s input. Controversial topics are welcome.

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. Accepted position papers will be presented at the conference (as oral talks or posters) and included in the conference proceedings.

We want to hear your ideas. What is the field getting right? Getting wrong? Position papers may address any aspect relevant to machine learning, including (but very much not limited to) discussions such as the following:
• Concerns about data legality, copyright, and intellectual property in model training procedures
• The role of privacy in machine learning training and deployment
• The role of open-source versus closed-source ML models for research
• Regulation of ML technology (licensing, evaluation, disclosures, post-deployment monitoring, etc.)
• Ethical considerations when conducting ML research
• Ethical considerations when deploying ML systems
• User guidance for responsible use of ML tools, services, applications, etc.
• What the next generation of ML researchers needs to know
• How we can improve the ways that we conduct and evaluate machine learning research
• How we can improve the beneficial impact of our community’s work

For full details, requirements, and information about the review criteria, see:
https://icml.cc/Conferences/2025/CallForPositionPapers

• Abstract submission deadline: January 23, 2025 AoE
• Full paper submission deadline: January 30, 2025 AoE
• Conference sessions: July 15-17, 2025 (Vancouver, BC)

Thank you,

Kiri Wagstaff and Jerry Zhu
ICML 2025 Position Paper Track Chairs
Contact: positio...@icml.cc

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Kiri Wagstaff
wk...@wkiri.com