CFP – AAAI 2025 Workshop on Preparing Good Data for Generative AI: Challenges and Approaches
The AAAI 2025 Workshop on Preparing Good Data for Generative AI: Challenges and Approaches (GoodData) invites contributions and collaborations in data preparation recipes for creating and using foundation models and generative AI applications. The workshop emphasizes the responsible usage and ethical considerations of data preparation, including human annotations, to address issues of diversity, bias, transparency, and privacy.
The AAAI 2025 Workshop on Preparing Good Data for Generative AI: Challenges and Approaches (GoodData) invites contributions and collaborations in data preparation recipes for creating and using foundation models and generative AI applications. The workshop emphasizes the responsible usage and ethical considerations of data preparation, including human annotations, to address issues of diversity, bias, transparency, and privacy.
The GoodData workshop covers a range of topics, including data acquisition, cleaning, processing, and mixture recipes, data quality assessment and quantifying the value of data, data sequence for multi-phase and curriculum learning, model-based data improvement techniques, and more. The workshop accepts submissions of a maximum of 4 pages (excluding references and appendix), and papers will be peer-reviewed under a double-blind policy.
Tags: AAAI 2025, GoodData, workshop, generative AI, foundation models, data preparation, data acquisition, data cleaning, data processing, data mixture, data quality assessment, data value, model-based data improvement, ablation study strategies, data safety, data governance, responsible data collection, ethical data annotation, diversity, bias, transparency, privacy, theoretical modeling, analysis, large-scale data processing