Call for papers open In person

AI Model Collapse, Data Contamination and Synthetic Data Risks Conference in Beijing, China – January 2027

Official name: International Conference on AI Model Collapse, Data Contamination and Synthetic Data Risks (ICAMCDCSDR)

Jan 9–10, 2027 Beijing, China
Abstract deadline December 13, 2026
34days
–hours
–min
Submit on the conference website
DatesJan 9–10, 2027
Abstract deadlineDec 13, 2026
Organized byeasrd
Event ID1464302

About this conference

This artificial intelligence conference takes place in Beijing, China on Jan 9–10, 2027. Abstracts and papers are due by December 13, 2026. It is one of 264 upcoming artificial intelligence conferences in China; the next one after it starts on January 9. It is organized by easrd.

Focusing on the intricate challenges posed by AI model collapse and synthetic data utilization, this event invites researchers and industry specialists to participate in critical discussions surrounding data contamination. Participants are welcomed to submit papers, posters, or presentations elaborating on innovative strategies to mitigate risks associated with AI data practices. Sessions will include a range of formats from expert panels to hands-on workshops to provide comprehensive insights into this vital area. Attendees will engage with peers as well as introduce their findings in a conducive environment for collaboration. This conference emphasizes the need for rigorous methodologies in data quality management, aiming to foster an informed community committed to enhancing the reliability of AI systems against the backdrop of evolving data landscapes.

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Key dates

  1. Abstract deadline · Dec 13, 202634 days left
  2. Conference · Jan 9–10, 2027Beijing, China

Details come from the organizer. Please check dates, fees and venue on the conference website before you register or travel.

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