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

Aim of the event

International Conference on AI Model Collapse, Data Contamination and Synthetic Data Risks ( ICAMCDCSDR ) organized by easrd on 09th-10th Jan 2027 With robust discussions planned around the implications of AI model collapse amid increasing reliance on synthetic data, this conference offers a diverse program aimed at researchers and specialists invested in data integrity. Participants will confront the growing threats of data contamination through presentations and panel discussions focused on current trends, challenges, and solutions. Submissions are encouraged from academics and practitioners presenting research, case studies, or theoretical insights that contribute significantly to this field. By providing a platform for knowledge sharing, this event aims to not only identify the limitations and pitfalls of current AI practices but also foster collaboration among attendees to derive actionable insights. Join experts in the field as they bridge the gaps in understanding and methodologies surrounding these pressing issues.