The conversation around AI art tools like Midjourney has largely focused on what they can generate, but a leading creativity researcher is pushing the field to think bigger: how can these technologies actually support thriving artistic communities? Dr. Shm Garanganao Almeda, a postdoctoral fellow at the Smithsonian who previously worked at Midjourney's Storytelling Lab, is presenting a new framework that challenges the current approach to creativity support tools (CSTs), arguing that image generation is only one piece of a much larger puzzle.

What's Missing From Today's AI Art Tools?

While tools like Midjourney have made creating images faster and easier than ever, Almeda emphasizes that creation technology often fails to address, or even worsens, critical challenges facing creative communities today. The real problems extend far beyond the speed of generation. Artists and creators face mounting pressures from multiple directions simultaneously, and most current tools ignore these systemic issues entirely.

Almeda identifies three interconnected challenges that plague creative communities in the age of AI:

• Algorithmic Control: Communities share art online at the mercy of mysterious media recommendation algorithms that determine what gets seen and what remains hidden.
• Platform Degradation: Online platforms have become crowded with low-quality generated content, often called "slop," making it harder for genuine creative work to stand out.
• Nonconsensual Data Use: Artists face the risk of their work being used without permission for AI training data, raising ethical and legal concerns about creative ownership.

How Can Technology Support Artists More Thoughtfully?

Rather than simply building faster image generators, Almeda proposes a "Creativity Supportive Ecosystems" framework that views creation tools as part of an interconnected system. This approach recognizes that creation doesn't happen in isolation; it depends on systems of distribution, reception, and provenance. In other words, how art gets shared, who sees it, and how its origins are tracked matter just as much as how quickly it can be made.

Almeda

This ecosystemic lens fundamentally changes how technologists should approach building tools for artists. Instead of asking "How can we make image generation faster?", the question becomes "How can we design technology that helps creative communities thrive while protecting their interests?".

What Does Intentional AI Design Look Like?

Almeda has begun exploring these ideas through a system called Artographer, which uses spatial maps as a medium for art curation and exploration. Rather than relying on algorithmic feeds that prioritize engagement, Artographer lets humans intentionally explore and discover art through visual organization. The project demonstrates that AI and data technologies can support creativity in powerful ways without defaulting to the recommendation algorithms that currently dominate social platforms.

"Not only can we use data and AI technologies to support creativity and culture in awesome, powerful ways, we can, and should, do so while moving smaller, slower, with intention, and with care," stated Dr. Shm Garanganao Almeda.

Dr. Shm Garanganao Almeda, Postdoctoral Fellow at the Smithsonian and former researcher at Midjourney's Storytelling Lab

This philosophy represents a significant departure from the move-fast-and-break-things mentality that has dominated tech development. Almeda's work suggests that the next generation of creativity support tools should prioritize thoughtfulness, community benefit, and artist protection over pure speed and scale.

Why This Matters for the Future of AI Art

As AI image generation tools become increasingly accessible and powerful, the question of how they integrate into creative ecosystems becomes more urgent. Almeda's research suggests that the industry has been optimizing for the wrong metrics. A tool that generates images in seconds but contributes to platform degradation, algorithmic manipulation, and data theft may ultimately harm the creative communities it claims to serve.

The timing of this perspective is significant. Almeda is currently a postdoctoral fellow at the Smithsonian, where they are using data visualization and historical art research to imagine new ways of encountering cultural collections. This work bridges the gap between cutting-edge technology and cultural stewardship, suggesting that AI tools designed with care and intention can actually strengthen creative communities rather than exploit them.

Almeda will present these ideas in detail during a Human-Computer Interaction talk at the University of Illinois, where they will discuss how creation systems interdepend on distribution, reception, and provenance systems, and why designers should approach creativity support with what they call "aggressive optimism" paired with careful, intentional development.

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