ANIMA and digital eARTh emerged in 1994 at a moment when the web was still unstable as a cultural form. ANIMA was the broader web-based platform produced by the WebWeavers Network Society: a multimedia cultural information service, artist-run research locus, and experimental online environment. digital eARTh was related to this same networked ecology but functioned as a distinct project with aspirations toward more of a curatorial or commissioning function. At this time nobody quite knew what the network was yet, and these artists were among the people actively testing what it could become. These projects were making things on the web at the same time they were thinking through the web as a medium: the network as a site of connection, public experimentation, distributed authorship, strange new aesthetic forms, and emerging kinds of digital citizenship.

The work existed across and between available classifications — visual art, media art, experimental publishing, literary probes, interfaces for political and philosophical exchange, studies of network effects and functions, avenues for public engagement, and a research environment for networked cultural production all at the same time. The WebWeavers knew that they couldn’t “just” be artists, and conceived of themselves as an artist-run non-profit service organization dedicated to the research, development, production, and distribution of artwork and information services on computer networks. The instability of the categories was a condition of emergence, a condition of the work’s genuine novelty.

This is why these projects feel newly legible in the present, and why this project of unearthing is vital. In the age of generative AI we are once again in a moment when artists are working inside technological systems that are changing faster than our cultural frameworks or our understanding can keep up with. As in the early days of the internet, generative AI has produced a fresh wave of uncertainty around medium, legitimacy, access, infrastructure, and public value. It is often described as unprecedented, and absolutely it is, but at the same time many of the underlying questions are familiar. Are these practices “really” art? How do we as artists work with technological systems that are created or controlled by the military or corporations? Crucially for this project, and for the future of cultural policy in Canada, what happens when artists are the first to grasp the implications of a new medium, but the institutions around them respond too slowly?

Thinking about ANIMA and digital eARTh alongside current debates around AI has made me realize that these projects can be understood not only through an art historical lens, but also as traces of policy choices and institutional priorities. They expose a long-standing mismatch between artistic invention and the frameworks that are there to sustain it. 

The most immediate symptom that ANIMA and digital eARTh bring into focus was one of categorical illegibility. Many early digital-era funding programs prioritized film, television, convergent media, educational content, interactive commercial products, and export-oriented forms of digital production. Meanwhile, independent visual and media artists working with digital systems often found themselves in an institutional Bermuda Triangle: digital art was treated on one hand as not really digital (in the sense that innovation frameworks understood the term) and on the other hand as not really art (in ways that fit conventional cultural structures).

Artists were often the people pushing hardest on the conceptual, aesthetic, and social implications of the medium, yet they were in a way obviated from the frameworks tasked with creating foundations for digital futures. Policy systems tend to support what they can already name. They like stable disciplines, recognizable outcomes, and legible value propositions. But the most interesting cultural forms rarely arrive in that condition.

Compounding this was the related tendency toward siloing: technology innovation, academic research, public culture, and artistic practice were too often treated as distinct worlds, each with its own funding structures and internal logics. Artists had limited access to tools, expertise, and collaborative infrastructure circulating elsewhere. The result was predictable: weaker collaboration, reduced knowledge transfer, and a precarity where some people were adjacent to transformation but almost no one was positioned for strength. 

ANIMA and digital eARTh moved across artist-run culture, online cultural databases, interface design, teaching, consultation, and early virtual worlds research.  The web itself was already making it harder to maintain old divisions between publication and performance, image and interface, local community and distributed network, artistic production and public communication. Derek Dowdon’s CyberCube project makes particular sense in this context: within the WebWeavers’ interest in immersive systems and shared environments, it can be read as an early attempt to think knowledge spatially and multimodally rather than only as text on a page. These projects make visible a moment when the medium itself was telling us that the old boxes were inadequate. 

In Canada there were bright spots for digital media that played important roles in fostering access, experimentation, and innovation. But the support was uneven, and some of the most conceptually ambitious and culturally generative practices were often the least legible to people making decisions about this sector. What kinds of public infrastructure for contemporary art and technology does Canada need if experimentation is to lead to lasting cultural capacity and legacy? 

In moments of technological transition, work that operates in categories we don’t understand is a basic condition of cultural intelligence. This is especially true in relation to generative AI, which produces forms that do not map neatly (or maybe at all) onto existing definitions of visual art, performance, writing, sound, design, publishing, curation, or software. We are seeing forms that sit somewhere between tool, process, installation, and social relation. 

A second and perhaps deeper issue with the paradigms of the early 1990s was short-termism, because many of our digital programs prioritized projects and outputs without building continuity underneath them. They rewarded innovation rhetorically while neglecting the infrastructural conditions required to sustain it: maintenance, migration, documentation, technical stewardship, intergenerational knowledge transfer. This created cycles where people built incredible things and launched them into an ecosystem that had no capacity to retain the knowledge or structures that would allow others to carry those discoveries forward.

The need to revive ANIMA and digital eARTh is itself evidence of this problem. That these works now require active recovery is not just because technology changes, because of course it does, but because continuity wasn’t built in. The fragility of early web art is institutional and also technical, which matters because it shifts how we understand ourselves in relation to preservation. Technical fragility is relatively legible: browsers change, servers go dark, file formats become obsolete. These losses have the character of entropy. 

Institutional fragility is different because it leaves us with an accumulation of things that happened once –  funding cycles that ended, organizations that dissolved, documentation that was never commissioned, and infrastructures that were never built because nobody in a position to build them understood what was at stake. What disappears is a record of how culture once imagined itself in relation to technology.  This leads to what I think may be the most important point, that infrastructure is cultural. 

Generative AI is forcing the infrastructure question back into view. Artists increasingly depend on proprietary platforms, for-profit compute, opaque datasets for training, closed models, expensive subscriptions, fluctuating terms of access, and systems whose underlying logic they do not control. This determines who gets to participate in cultural production, under what terms, with what degree of autonomy, and in whose public interest. If the early web era taught us anything, it should be that leaving cultural infrastructure to form without intention can produce brilliant experimentation but also structural weakness.

So what would it mean to take the lesson of ANIMA and digital eARTh seriously now? It would mean understanding that the task is to build public cultural infrastructures capable of meeting experimentation early, that  prepares a ground for systems that assume categories will mutate. It would mean supporting interdisciplinary practice before it becomes legible to the market and treating continuity as seriously as novelty. And it would mean recognizing that artists are not a decorative layer sometimes visible within a larger culture, but among the earliest and most important interpreters of what those systems mean socially, aesthetically, and politically.

This is why I keep returning to the idea of a creative AI commons as a concrete infrastructural ambition: a publicly supported ecology where Canadian creators can access and shape the technologies that will define the next generation of cultural production. That might include shared datasets, public compute access, experimentation sandboxes, collaborative labs, and artist residencies embedded with research institutions. Could we envision a Generative Arts Fund specifically designed to support AI-based art, speculative media forms, and new interdisciplinary practices? Could we as a country get behind permanent AI culture labs that are intertwined with federal AI investment frameworks,  joining artistic research, public engagement, and technical development rather than forcing them into separate domains? 

If we are serious about the future of AI and the arts, the task is not only to learn from what was lost but to act on it. Artistic production and the concentric waves of social repercussions that surround it are made or unmade by the infrastructures and public commitments that determine whether experimentation can survive long enough to become culture. ANIMA and digital eARTh remind us that artists were already building that future once. What we choose not to build now, we will spend the next generation trying to recover.