Artificial intelligence has rapidly shifted from a futuristic concept to an everyday reality across nearly every professional discipline, and the field of data communication is no exception. In the data storytelling community, discussions regarding the integration of machine learning and generative artificial intelligence tools have taken center stage. This pervasive interest was highlighted recently during industry events, such as the Canva Create conference, where a breakout session titled “Data Storytelling in the Age of AI” drew the highest attendance of the day, outdrawing numerous other panels and presentations.
The widespread curiosity surrounding automated tools transcends traditional professional demographics. Observers note that even casual encounters, ranging from professional conferences to public reading events like Daphne Draws Data, frequently feature inquiries from participants of all ages—demonstrating that the public consciousness is actively grappling with how these technologies process and present information. Yet, what remains most striking to observers and industry leaders is not merely the sheer volume of interest, but the stark divergence in how practitioners are approaching the technology.
While some professionals have yet to incorporate artificial intelligence into their daily workflows, others are in the early stages of experimentation, and a growing segment is already deeply integrating these systems into their core operations. Recognizing this transitional phase in the industry, the community has launched a comprehensive monthly challenge designed to help practitioners form or expand their perspectives through direct, hands-on application. By engaging directly with these tools, participants have a unique opportunity to explore collaborative workflows, think critically about machine capabilities, and share valuable insights with peers.
The overarching goal for this month’s initiative is to explore how human intellect and artificial intelligence can work in tandem to produce data communications that surpass what either could achieve independently. Rather than viewing technology as a total replacement for human effort, the challenge emphasizes the synergistic potential of combining human contextual awareness, emotional intelligence, and critical thinking with the computational speed and generation capabilities of modern software.
The Challenge
The core requirement of the initiative is to create a comprehensive data communication utilizing a collaborative human and artificial intelligence workflow. Participants are given complete freedom in selecting their source material, allowing them to utilize datasets directly from their current professional roles, personal data projects, or any topic that sparks their intellectual curiosity. For individuals who may not have immediate access to a proprietary dataset, alternative options are readily available through public exercises provided in educational resources such as storytelling with data: let’s practice!.
Once a dataset is secured, participants are encouraged to work alongside an artificial intelligence tool of their choice to explore, analyze, and construct their visual narratives. The scope of collaboration is broad, encompassing various stages of the analytical and creative process, including initial brainstorming, refining the core messaging, drafting foundational charts, or iteratively polishing the final design.
For those who are relative newcomers to the artificial intelligence landscape, the recommendation is to begin with accessible experimentation to discover what is possible. Popular conversational and analytical models such as ChatGPT, Claude, Gemini, and Copilot offer intuitive entry points for beginners. Conversely, practitioners who already utilize artificial intelligence as a regular part of their daily routine are urged to push their boundaries by testing entirely different platforms, adopting novel workflows, or experimenting with unconventional methods of human-machine collaboration.
Throughout the creation process, participants are asked to maintain a reflective mindset regarding the division of labor. Key questions guiding the exercise include determining where the human contributes the highest value, identifying the specific tasks where artificial intelligence proves most helpful, and discovering the optimal methods for blending both entities into a cohesive workflow. Contributors are expected to document these observations and practical learnings within their accompanying commentary.
Submissions for the challenge must be shared within the designated community platform by May 31 at 5:00 PM Eastern Time. Contributors are also encouraged to specify any particular areas where they would appreciate constructive feedback from their peers. Beyond submitting their own work, community members are urged to spend time browsing other entries, contributing diverse perspectives through thoughtful comments, and exchanging data points throughout the course of the month.
Related Resources
To support participants in their exploration of human and artificial intelligence collaboration, a curated selection of related resources has been made available through the community network. These materials are intended to provide foundational knowledge, advanced technical tips, and strategic frameworks for effective data visualization and narrative building. Additionally, community members who are aware of other valuable guides, articles, or tools are invited to share those recommendations within their submission commentary, fostering a collaborative environment of continuous learning and resource sharing as the initiative unfolds.
