Human activities have drastically altered the planet, with design playing a significant role. While design may intend to do good, its consequences are not always positive: from climate change to resource depletion to unforeseen social dynamics. These transformations also include ourselves, as our relationships with new technologies blur and complicate previous human and machine agency distinctions. Increasingly, design has become a matter of defining what it means to be human. This special issue explores the proposition that conventional human-centered design approaches may not adequately address the complex challenges we face, and that there is instead a need to ground design in more-than-human perspectives. This introduction outlines the evolving landscape of more-than-human design in the context of HCI. Articulating a series of emerging research trajectories, we aim to illuminate the transformative potential of more-than-human orientations to design, including how they both extend and depart from familiar lines of inquiry in HCI – for example, how designers are redefining data, interfaces, and responsibility, and reshaping posthuman knowledge through design. Ultimately, this special issue aims to explore new pathways for designing in the era of the more-than-human, challenging the perceived divide between practice and theory to imagine alternative futures for HCI.

Given the current ecological crisis, the HCI and design community is showing a growing interest in the adoption of more-than-human perspectives, challenging human-centric approaches. While this has sparked numerous research initiatives, many of them are still a far cry from providing practical solutions or transforming the industry. This also presents a hurdle for teaching more-than-human perspectives to design students, as they may feel powerless to practice those teachings in real-life industrial settings. To bring forth concrete examples of how more-than-human design practice can matter, we believe that it is now time to move beyond theorising about and advocating for the adoption of such perspectives and start a more-than-human design practice that transforms the industry. This workshop therefore aims to bring together educators, researchers, and designers to discuss and co-develop strategies for transitioning more-than-human perspectives from niche/speculation to mainstream/practice in HCI and design. The workshop also aims to develop ways to empower students to work with these perspectives to bring about this transformation of the industry.

This article presents findings from a Research through Design investigation focusing on a reflexive approach to data curation and the use of generative AI in design and creative practices. Using binary gender categories manifested in children’s toys as a context, we examine three design experiments aimed at probing how designers can cultivate a reflexive human-AI practice to confront and challenge their internalized biases. Our goal is to underscore the intricate interplay between the designer, AI technology, and publicly held imaginaries and to offer an initial set of tactics for how personal biases and societal norms can be illuminated through interactions with AI. We conclude by proposing that designers not only bear the responsibility of grappling critically with the complexities of AI but also possess the opportunity to creatively harness the limitations of technology to craft a reflexive data curation that encourages profound reflections and awareness within design processes.

Seen both as a resource and an obstacle to clarity, uncertainty is a concept that permeates many areas of design. As the concept gains prominence in Human-Computer Interaction (HCI), this special issue specifically explores the interplay between uncertainty and prototyping in Research through Design (RtD). We first outline three histories of uncertainty in design, in relation to its philosophical significance, its role in statistical and algorithmic processes, and its importance in prototyping. The convergence of these aspects is crucial as design evolves toward more agentive and entangled systems, introducing challenges such as Design as a Probabilistic Outcome. We then investigate the design spaces for engaging with “being uncertain” that emerge from the papers: from nuancing the relationship between designers and quantitative data to blurring the line between humans, fungi, and algorithms. Finally, we illuminate some preliminary threads for how RtD can navigate and engage with these shifting technological and design landscapes thoughtfully.

This article explores the intersections and resonances between unmaking and more-than-human design. We begin by aligning unmaking with decentering, a fundamental practice in more-than-human design, through their shared movement and materiality. Using Lindström and Ståhl’s notion of the double movement in un/making, we analyze a series of workshops focused on designing with AI, annotating what was un/made and de/centered during the workshops’ activities. Through this analysis, we introduce two key contributions that highlight some opportunities in the diffractive alignment between unmaking and more-than-human design: firstly, the notion of “unmaking-with” as an emergent concept to describe a posthumanist unmaking practice, and secondly, three decentering tactics—situating, materializing, and enacting—that instantiate this practice through design. Finally, we discuss how unmaking can enrich more-than-human design and, conversely, how more-than-human design can help define the epistemological scope of unmaking.