Gen4DS: Workshop on Data Storytelling in an Era of Generative AI
Project Overview
The document explores the role of generative AI in education, particularly its applications in data storytelling, and the associated opportunities and challenges. It emphasizes the evolution of tools and methodologies that enhance narrative structures and visualizations, showcasing how generative AI can transform educational practices by enabling more engaging and effective communication of data. The importance of workshops, such as Gen4DS, is highlighted as a platform for collaboration among researchers, educators, and practitioners, facilitating critical discussions about the implications of AI in storytelling. These workshops aim to not only enhance understanding of generative AI's capabilities but also to establish a research agenda that addresses future advancements in the field. Overall, the document underscores the potential of generative AI to enrich educational experiences while also calling for careful consideration of its impacts and the need for ongoing dialogue among stakeholders.
Key Applications
Data storytelling tools (e.g., ChatGPT, Midjourney, DataShot, Calliope)
Context: Workshops aimed at educators, researchers, and practitioners in data storytelling
Implementation: Hands-on sessions integrating generative AI tools for creating data stories
Outcomes: Reduced barriers to creating data stories, increased engagement in storytelling, and collaborative learning
Challenges: Risks of AI-generated content being nonsensical, ethical considerations in AI integration
Implementation Barriers
Ethical
Concerns about the reliability of AI-generated content and the ability to trace back to original data.
Proposed Solutions: Encouragement of critical discussions and ethical guidelines for AI usage in storytelling.
Technological
Potential resistance from creators in adapting to AI tools and changing workflows.
Proposed Solutions: Incorporating hands-on tutorials and discussions on workflow integration.
Project Team
Xingyu Lan
Researcher
Leni Yang
Researcher
Zezhong Wang
Researcher
Yun Wang
Researcher
Danqing Shi
Researcher
Sheelagh Carpendale
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Xingyu Lan, Leni Yang, Zezhong Wang, Yun Wang, Danqing Shi, Sheelagh Carpendale
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai