While today there is much discussion about the ethics of artificial intelligence, less work has been done on the philosophical nature of AI. Drawing on Bergson and Ricoeur, this paper proposes to use the concepts of time, process, and narrative to conceptualize AI and its normatively relevant impact on human lives and society. Distinguishing between a number of different ways in which AI and time are related, the paper explores what it means to understand AI as narrative, as process, or (...) as the emergent outcome of processes and narratives. It pays particular attention to what it calls the “narrator” and “time machine” roles of AI and the normative implications of these roles. It argues that AI processes and narratives shape our time and link past, present, and future in particular ways that are ethically and politically significant. (shrink)

It is important to design digital infrastructure that can better accommodate multicultural and pluralistic views from its foundations. It is insufficient to look at only the responses and influences of culture on technology without considering how the technology can be adapted in anticipation of, and to support, pluralistic multicultural perspectives in its original design. This goes beyond the simple act of supporting multiple languages and interfaces, but should include the ability of digital and data infrastructure to capture and accommodate pluralistic (...) views, supporting multiple perspectives in the representation and processing of the data itself. In this work, we look at how rethinking the representation of data can allow us to more directly tackle domains that are typically hampered due to intercultural differences, and their inevitable losses in translation, particularly losses of valuable information like context and intention. When we refer to a loss of context and intention, we are referring to the loss of semantic information when practices such as referencing and citation are hard-coded to a particular set of cultural norms. We show that it is possible to expand the way in which we track referential data to capture richer semantic information regarding the contexts and intentions of the creators of this data, and thereby better serve the varied needs of those who consume, study, and refer to such data. We demonstrate this concept through a prototype system for a multicultural digital infrastructure, which we have named MultiVerse, and discuss its ethical implications from the perspectives of ‘multistability’, Intercultural Information Ethics framework, and poststructuralism. (shrink)

How should we understand postphenomenological methodology? Postphenomenology is a research perspective which builds on phenomenological and pragmatist philosophy to explore human–technology relations, but one with open methodological questions. Here, I offer some thoughts on the epistemological processes that should be at work in this research. In particular, I am concerned with postphenomenological research on technological “multistability,” i.e., a device’s ever-present capacity to be used for a variety of purposes, and to always be meaningful in multiple ways. I develop a methodology (...) called “variational cross-examination,” which entails the critical contrast of a device’s various stabilities. As a set of instructive examples, I draw on my own line of research on the politics of public spaces, and especially the critique of anti-homeless design. (shrink)