Skip to content
Titelbild Blogpost Technological Pluriverse: Reflektierende Luftblasen vor einem hellgrünen Hintergrund.
14 December 2021| doi: 10.5281/zenodo.5761918

Towards the Technological Pluriverse

Adriaan Odendaal & Karla Zavala Barreda ask how the design practice of digital technology needs to be fundamentally changed to create a more inclusive digital future. Using the recent board game project Algorithms of Late-Capitalism, they explore new ideas for creating a technological pluriverse in this article. For example, what would happen if we disbanded Silicon Valley start-ups and restructured them into community-based tech collectives? 

AI-driven technologies are becoming increasingly complex (e.g. things like neural networks being innately black-boxed). This is creating an ever-widening rift between the technicians who design and develop these technologies and the communities in which these technologies are eventually deployed and operationalized. Yet the abstract algorithms and data structures comprising such software have a material relation to – and impact on – the lives of those who knowingly or unknowingly come into contact with them. 

As Rob Kitchin writes, “[algorithms] shape how we understand the world and they do work in and make the world through their execution as software, with profound consequences” (2017). If AI and other algorithmic technologies have a material impact on our lives, shouldn’t we as end-users and members of the public have more stake in how these technologies are designed, developed, and eventually deployed in the public sphere and in our communities?  

A board game to imagine a more inclusive technological future

In our recent Algorithms of Late-Capitalism board game project we developed a game co-creation process that unfolds over a series of interlinked public workshops. The theme of the game centers on haywire algorithmic and AI technologies taken to an absurd futuristic extreme following a prevailing capitalist logic of technocratic control.

A screenshot from one of our online co-creation workshop.

The true heart of the project, however, is the co-creation method through which the game is being developed. The rationale behind employing this method of communal and relational design is that we wanted to develop the game in a way that reflects our vision for how we can create a more inclusive, representative, and diversified digital future. In as much as the game development process is able to, we want it to reflect a shift towards a technological pluriverse.

A new anti-universalist design approach for digital technologies

We borrow the term ‘pluriverse’ from Arturo Escobar who writes on the topic of design. “In designing tools (objects, structures, policies, expert systems, discourses, even narratives),” says Escobar, “we are creating ways of being” (Escobar, 2018). When you take this into account we can start to redefine design questions, problems, and practices in ways that are more appropriate for different cultures, communities, and lived experiences. 

Escobar highlights the need to move away from the functionalist universalist design practices born out of capitalist modernity, towards practices that allow multiple possible worlds, communities, and perspectives to be included in design practices. 

We believe that the same ideas should be applied to the design of digital technologies such as AI. The design of these technologies should be a bottom-up process – instead of a top-down process in which start-up founders and technicians impose universalist visions of technology onto the lives of diverse publics around the world. 

At the start of each workshop we ask participants to create their own crazy avatars. At the end of each workshop we ask participants to leave a message for the next cohort of co-designers.

Can tech companies restructure themselves into tech collectives?

What would happen if such pluriverse design practices were adopted by tech companies? Would we even have tech companies as we now think of them (following the Silicon Valley ideology ‘move fast and break things’)? Would they invariably restructure into tech collectives? Or could we imagine start-ups adopting Research & Development (R&D) methods similar to Participatory Action Research in which ‘research subjects’ become involved as active and empowered co-researchers? 

The inclusion of non-experts or non-technicians in the design, development, and deployment of AI and other digital technologies can be extremely impactful and positive. But in order for this vision of a technological pluriverse to work, we first have to truly realize that these technologies are not merely technical. They are as much cultural, social, and material as any other designed object inhabiting our modern lives.

 

References:

Kitchin, R. (2017). “Thinking critically about and researching algorithms”, in Information, Communication & Society, 20(1). Available: http://www.futuredata.io.s3-website-us-west-2.amazonaws.com/classes/cs345s/handouts/kitchin.pdf 

Escobar, A. (2018). Designs for the Pluriverse: Radical Interdependence, Autonomy, and the Making of Worlds. Duke University Press: London.  

About the authors:

Adriaan Odendaal is a multimedia designer and web-developer whose work revolves around algorithmic literacy, critical and speculative design, digital culture as well as game/software studies. He has a master’s degree in Media Arts Cultures and currently works as a content writer, designer, and web developer for Volume podcasting network.

Karla Zavala Barreda is a researcher, designer and digital project manager, who works at the intersection of software, design, and education. She has a master’s degree in Media Arts Cultures and currently is a PhD candidate in Media Studies at the University of Amsterdam, where she does research on apps ecology and learning software aimed at young children.

Together, they have co-founded  the research and design studio internet teapot, a collaboration that focuses on speculative and critical design projects and research, stemming from shared interests in digital culture, critical theory, and the belief that design can be used in a socially transformative way. Karla and Adriaan took part in the Edit-a-thon on Intersectional approaches to AI hosted by HIIG’s AI & Society Lab.

This post represents the view of the author and does not necessarily represent the view of the institute itself. For more information about the topics of these articles and associated research projects, please contact info@hiig.de.

Sign up for HIIG's Monthly Digest

HIIG-Newsletter-Header

You will receive our latest blog articles once a month in a newsletter.

Explore Research issue in focus

Du siehst Eisenbahnschienen. Die vielen verschiedenen Abzweigungen symbolisieren die Entscheidungsmöglichkeiten von Künstlicher Intelligenz in der Gesellschaft. Manche gehen nach oben, unten, rechts. Manche enden auch in Sackgassen. Englisch: You see railway tracks. The many different branches symbolise the decision-making possibilities of artificial intelligence and society. Some go up, down, to the right. Some also end in dead ends.

Artificial intelligence and society

The future of artificial Intelligence and society operates in diverse societal contexts. What can we learn from its political, social and cultural facets?

Further articles

Three groups of icons representing people have shapes travelling between them and a page in the middle of the image. The page is a simple rectangle with straight lines representing data used for people analytics. The shapes traveling towards the page are irregular and in squiggly bands.

Empowering workers with data

As workplaces become data-driven, can workers use people analytics to advocate for their rights? This article explores how data empowers workers and unions.

A stylised illustration featuring a large "X" in a minimalist font, with a dry branch and faded leaves on one side, and a vibrant blue bird in flight on the other. The image symbolises transition, with the bird representing the former Twitter logo and the "X" symbolising the platform's rebranding and policy changes under Elon Musk.

Two years after the takeover: Four key policy changes of X under Musk

This article outlines four key policy changes of X since Musk’s 2022 takeover, highlighting how the platform's approach to content moderation has evolved.

The picture shows a tractor cultivating a field from above. One side of the field is covered in green, the other is dry and earthy. This is intended to show that although sustainable AI can be useful in the fight against climate change, it also comes at a high ecological cost.

Between vision and reality: Discourses about Sustainable AI in Germany

This article explores Sustainable AI and Germany's shift from optimism to concern about its environmental impact. Can AI really combat climate change?