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 namedMultiVerse, and discuss its ethical implications from the perspectives of ‘multistability’, Intercultural Information Ethics framework, and poststructuralism. (shrink)

Today, there is an emerging interest for the potential role of hermeneutics in reflecting on the practices related to digital technologies and their consequences. Nonetheless, such an interest has neither given rise to a unitary approach nor to a shared debate. The primary goal of this paper is to map and synthetize the different existing perspectives to pave the way for an open discussion on the topic. The article is developed in two steps. In the first section, the authors analyze (...) digital hermeneutics “in theory” by confronting and systematizing the existing literature. In particular, they stress three main distinctions among the approaches: between “methodological” and “ontological” digital hermeneutics; between data- and text-oriented digital hermeneutics; and between “quantitative” and “qualitative” credos in digital hermeneutics. In the second section, they consider digital hermeneutics “in action”, by critically analyzing the uses of digital data for studying a classical object such as the political opinion. In the conclusion, we will pave the way to an ontological turn in digital hermeneutics. Most of this article is devoted to the methodological issue of interpreting with digital machines. The main task of an ontological digital hermeneutics would consist instead in wondering if it is legitimate, and eventually to which extent, to speak of digital technologies, or at least of some of them, as interpretational machines. (shrink)

This paper is as much about surveillance as about persuasive technologies (PTs). With regard to PTs it raises the question about the ethical limits of persuasion. It will be argued that even some forms of self-imposed persuasive soft surveillance technologies may be considered unethical. Therefore, the ethical evaluation of surveillance technologies should not be limited to privacy issues. While it will also be argued that PTs may become instrumental in pre-commitment strategies, it will also be demonstrated that the use of (...) persuasive surveillance technologies in order to influence the users to become more compliant, to get their consent more easily or making it harder to opt out of the system does give rise to ethical issues. (shrink)

ABSTRACT: In this article, the author deals with the status of the self and personal identity in the digital milieu. In the first section, he presents his general approach to digital media and technologies, which he has called “digital hermeneutics.” He distinguishes between three perspectives in digital hermeneutics, namely the deconstructive, epistemological, and ontological approaches. In the second part, he focuses on digital hermeneutics as hermeneutics of the self. He compares Paul Ricoeur’s narrative identity to Pierre Bourdieu’s habitus. His first (...) thesis is that the habitus can be seen as a concept of subjectivation that neglects an important part of the subject. Narrative identity offers, in this sense, a remedy to such negligence. His second thesis is that today’s digital media and technologies are closer to the Bourdieusian habitus than to the Ricoeurian narrative identity. In other words, digital machines and technologies are “habitus machines” both in their structure and in their effects. (shrink)

In this paper, I argue that AI-powered voice assistants, just as all technologies, actively mediate our interpretative structures, including values. I show this by explaining the productive role of technologies in the way people make sense of themselves and those around them. More specifically, I rely on the hermeneutics of Gadamer and the material hermeneutics of Ihde to develop a hermeneutic lemniscate as a principle of technologically mediated sense-making. The lemniscate principle links people, technologies and the sociocultural world in the (...) joint production of meaning and explicates the feedback channels between the three counterparts. When people make sense of technologies, they necessarily engage their moral histories to comprehend new technologies and fit them in daily practices. As such, the lemniscate principle offers a chance to explore the moral dynamics taking place during technological appropriation. Using digital voice assistants as an example, I show how these AI-guided devices mediate our moral inclinations, decisions and even our values, while in parallel suggesting how to use and design them in an informed and critical way. (shrink)

I would like to introduce the notion of machine hermeneutics in this paper. The notion refers to hermeneutical activity performed by machines. Machines are now capable of making the very interpretive tasks, using artificial intelligence algorithms based on the technology of machine learning that used to be the exclusive domain of human beings. In making this claim, I am not talking about possible conscious machines of the future, but those existing here and now. With facial recognition algorithms, for example, machines (...) are now performing routinely what must be regarded as hermeneutical analyses with astounding accuracy and power. Thus, machine hermeneutics supplements Don Ihde’s notion of material hermeneutics. In the latter, it is still human beings who do the interpretation, through the lenses provided the natural sciences; in this case, the natural sciences, or the technology afforded by the sciences, intervene between the human being and the world. In machine hermeneutics, on the contrary, the intervening comes in two layers. On the one hand, there is the usual intervention that Ihde talks about, but on the other, the artificial intelligence algorithm performs its own kind of intervention and interpretation, presenting an already interpreted result to the human beings, who then perceive it through the aid of the usual intervention such as the normal eyeglasses. Then the paper discusses the problem of how to justify the kind of perception that undergoes this process. In what sense can it be said that the algorithm is performing the right action, i.e., one such that the process comes up with a right picture of the world? I contend that this does not merely consist of technical excellence for the technology involved, but also ethical excellence. The two cannot be considered one apart from the other. (shrink)

Philosophical and technoculture studies surrounding the existential understanding of the human–technology–world experience have seen a slow but steady increase that makes a turn to material hermeneutics in the second decade of the twenty-first century (Ihde in Postphenomenology: essays in the postmodern context. Northwestern University Press, Evanston, 1993; Capurro in AI Soc 25(1):35–42, 2010; Romele in Digital hermeneutics: philosophical investigations in new media and technologies. Routledge, Abingdon, 2020; among others). This renewed focus makes sense because human–technology–world experiences need to be interpreted. (...) And many of these are more complicated to study, precisely because technology is at the root of the experiences. One interesting subset of technologies is media technologies, also called digital media, which intertwines the device and the content to mediate together in the world (Irwin in Digital media: human-technology connection. Lexington Books, Lanham, 2016). Visual media technologies and media content, together, through what is called moving image technologies, create virtual role-playing, virtual and augmented reality, video games, and social media focused worlds that have become central experiences in contemporary culture. Just as image-based scientific instruments read the world in different ways, so to do these visual mediated experiences. How might this comingled “reading” of technology explain the digital film language and experience? I contend that understanding the existential “early” film experience helps understand the new age of cinema, with implications for digital media, digital representation of the visual, and technoscience and technoculture studies. The material hermeneutics perspective called postphenomenology is one way to study these visually focused human–technology–world perceptual and interpretive experiences. Don Ihde’s methodological framework (1990, 1993, 1996, 2002, 2010, 2012, 2016, 2019) is both an idea from technoscience studies and a set of nuanced vocabulary that helps to explore and reveal variations, patterns, and trajectories of the whole-body experience of technology. This use case will first explore traditional cinema and then the “new age” term “moving image”, to learn more about this complicated and radically transforming technological experience. Work by Don Ihde and Vivian Sobchack is considered. (shrink)

This paper builds upon recent work in narrative theory and the philosophy of technology by examining the place of transparency and responsibility in discussions of AI, and what some of the implications of this might be for thinking ethically about AI and especially AI practices, that is, the structured social activities implicating and defining what AI is. In this paper, we aim to show how pursuing a narrative understanding of technology and AI can support knowledge of process and practice through (...) transparency, as well help summon us to responsibility through visions of possibility and of actual harms arising from AI practices. We provide reflections on the relations between narrative, transparency and responsibility, building an argument that narratives (about AI, practices, and those persons implicated in its design, implementation, and deployment) support the kind of knowing and understanding that is the aim of transparency, and, moreover, that such knowledge supports responsibility in informing agents and activating responsibility through creating knowledge about something that can and should be responded to. Furthermore, we argue for considering an expansion of the kinds of practices that we might legitimately consider ‘AI practices’ given the diverse set of (often materially embedded) activities that sustain and are sustained by AI that link directly to its ethical acceptability and which are rendered transparent in the narrative mode. Finally, we argue for an expansion of narratives and narrative sources to be considered in questions of AI, understanding that transparency is multi-faceted and found in stories from diverse sources and people. (shrink)