The Intersection of Bernard Lonergan’s Critical Realism, the Common Good, and Artificial Intelligence in Modern Religious Practices

Artificial intelligence (AI) profoundly influences a number of societal structures today, including religious dynamics. Using Bernard Lonergan’s critical realism as a lens, this article investigates the intersections of AI and religious traditions in their shared pursuit of the common good. Beginning with Lonergan’s principle that humans construct their understanding through cognitive processes, we examine how AI-mediated realities align with or challenge traditional religious tenets. By delving into specific cases, we spotlight AI’s role in reshaping religious symbols, rituals, and even creating novel spiritual meanings. Using Lonergan’s insights on the balance between subjectivity and objectivity, I analyze AI’s potential to both create new sacred spaces and challenge religious orthodoxy. The crux of the discussion centers on the negotiation between religious values and technological innovation, assessing how AI can bolster religious life while maintaining its core essence. Ultimately, this article underscores the importance of the common good in the age of AI-driven religious evolution

Embedding Intelligence. Designerly reflections on AI-infused products

Artificial intelligence is more-or-less covertly entering our lives and houses, embedded into products and services that are acquiring novel roles and agency on users. Products such as virtual assistants represent the first wave of materializa- tion of artificial intelligence in the domestic realm and beyond. They are new interlocutors in an emerging redefined relationship between humans and computers. They are agents, with miscommunicated or unclear proper- ties, performing actions to reach human-set goals. They embed capabilities that industrial products never had. They can learn users’ preferences and accordingly adapt their responses, but they are also powerful means to shape people’s behavior and build new practices and habits. Nevertheless, the way these products are used is not fully exploiting their potential, and frequently they entail poor user experiences, relegating their role to gadgets or toys. Furthermore, AI-infused products need vast amounts of personal data to work accurately, and the gathering and processing of this data are often obscure to end-users. As well, how, whether, and when it is preferable to implement AI in products and services is still an open debate. This condition raises critical ethical issues about their usage and may dramatically impact users’ trust and, ultimately, the quality of user experience. The design discipline and the Human-Computer Interaction (HCI) field are just beginning to explore the wicked relationship between Design and AI, looking for a definition of its borders, still blurred and ever-changing. The book approaches this issue from a human-centered standpoint, proposing designerly reflections on AI-infused products. It addresses one main guiding question: what are the design implications of embedding intelligence into everyday objects

Semiotics and Human-Robot Interaction

Keywords: Semi-autonomous robot, human-robot interaction, semiotics. Abstract: This paper describes a robot control architecture supported on a human-robot interaction model obtained directly from semiotics concepts. The architecture is composed of a set of objects defined after a semiotic sign model. Simulation experiments using unicycle robots are presented that illustrate the interactions within a team of robots equipped with skills similar to those used in human-robot interactions.

Programmatic Dreams: Technographic Inquiry into Censorship of Chinese Chatbots

This project explores the recent censorship of two Chinese artificial intelligence (AI) chatbots on Tencent’s popular WeChat messaging platform. Specifically, I am advancing a technographic approach in ways that give agency to bots as not just computing units but as interlocutors and informants. I seek to understand these chatbots through their intended design—by chatting with them. I argue that this methodological inquiry of chatbots can potentially points to fissures and deficiencies within the Chinese censorship machine that allows for spaces of subversion. AI chatbot development China presents a rich site of study because it embodies the extremes of surveillance and censorship. This is all the more important as China have elevated disruptive technologies like AI and big data as critical part of state security and a key component to fulfilling the “Chinese Dream of National Rejuvenation.” Whether it is the implementation of a national “social credit” system or the ubiquitous use facial recognition systems, much of Western fears about data security and state control have been already realized in China. Yet, this also implies China is at the frontlines of potential points of resistance and fissures against the party–state–corporate machine. In doing so, I not only seek to raise questions dealing with the limits of our humanity in the light of our AI-driven futures but also present methodological concerns related to human–machine interfacing in conceptualizing new modes of resistance

Autonomous Exchanges: Human-Machine Autonomy in the Automated Media Economy

Contemporary discourses and representations of automation stress the impending “autonomy” of automated technologies. From pop culture depictions to corporate white papers, the notion of autonomous technologies tends to enliven dystopic fears about the threat to human autonomy or utopian potentials to help humans experience unrealized forms of autonomy. This project offers a more nuanced perspective, rejecting contemporary notions of automation as inevitably vanquishing or enhancing human autonomy. Through a discursive analysis of industrial “deep texts” that offer considerable insights into the material development of automated media technologies, I argue for contemporary automation to be understood as a field for the exchange of autonomy, a human-machine autonomy in which autonomy is exchanged as cultural and economic value. Human-machine autonomy is a shared condition among humans and intelligent machines shaped by economic, legal, and political paradigms with a stake in the cultural uses of automated media technologies. By understanding human-machine autonomy, this project illuminates complications of autonomy emerging from interactions with automated media technologies across a range of cultural contexts

Communication blades: modular communications for tangible and embedded interfaces

Bladed Tiles is a modular hardware toolkit for building tangible and embedded interface devices. It includes “function blades” and “interaction tiles,” which can provide a flexible, inexpensive, open-ended platform for constructing a wide variety of tangible and embedded interfaces. In this paper, we propose Communication Blades. These are a class of electronic modules with varied computational capabilities for interfacing devices built using bladed tiles toolkit and also for interfacing embedded devices as adapters with external communication networks. These blades provide flexibility by offering the ability to select between different communication technologies and connectivity by providing devices with interoperability over different communication mediums. Furthermore, the modular blade architecture allows different types of communication blades to be plugged in on demand. This reduces the need for development and knowledge of communication protocols by the developers, thus abstracting the underlying complexity. My research work includes studying and designing various communication blades i.e. Serial, USB, Bluetooth and Gumstix. It also includes prototyping, testing and implementing the communication blades