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The central thesis of this paper is that human unconscious processes influence the behavior and design of artificial intelligence (AI). This thesis is discussed through the case study of a chatbot called Replika, which intends to provide psychological assistance and friendship but has been accused of inciting murder and suicide. Replika originated from a trauma and a work of mourning lived by its creator. The traces of these unconscious dynamics can be detected in the design of the app and the narratives about it. Therefore, a process of de-psychologization and de-humanization of the unconscious takes place through AI. This psychosocial approach helps criticize and overcome the so-called "standard model of intelligence" shared by most AI researchers. It facilitates a new interpretation of some classic problems in AI, such as control and responsibility. [ABSTRACT FROM AUTHOR]

Profit-oriented service sectors such as tourism, hospitality, and entertainment are increasingly looking at how professional service robots can be integrated into the workplace to perform socio-cognitive tasks that were previously reserved for humans. This is a work in which social and labor sciences recognize the principle role of emotions. However, the models and narratives of emotions that drive research, design, and deployment of service robots in human–robot interaction differ considerably from how emotions are framed in the sociology of labor and feminist studies of service work. In this paper, we explore these tensions through the concepts of affective and emotional labor, and outline key insights these concepts offer for the design and evaluation of professional service robots. Taken together, an emphasis on interactionist approaches to emotions and on the demands of affective labor, leads us to argue that service employees are under-represented in existing studies in human–robot interaction. To address this, we outline how participatory design and value-sensitive design approaches can be applied as complimentary methodological frameworks that include service employees as vital stakeholders. [ABSTRACT FROM AUTHOR]

In response to calls for greater interdisciplinary involvement from the social sciences and humanities in the development, governance, and study of artificial intelligence systems, this paper presents one sociologist's view on the problem of algorithmic bias and the reproduction of societal bias. Discussions of bias in AI cover much of the same conceptual terrain that sociologists studying inequality have long understood using more specific terms and theories. Concerns over reproducing societal bias should be informed by an understanding of the ways that inequality is continually reproduced in society—processes that AI systems are either complicit in, or can be designed to disrupt and counter. The contrast presented here is between conservative and radical approaches to AI, with conservatism referring to dominant tendencies that reproduce and strengthen the status quo, while radical approaches work to disrupt systemic forms of inequality. The limitations of a conservative approach to racial bias are discussed through the specific example of biased criminal risk assessments and Indigenous overrepresentation in Canada's criminal justice system. This illustrates the dangers of treating racial bias as a generalizable problem and equality as a generalizable solution, emphasizing the importance of considering inequality in context. Societal issues can no longer be out of scope for AI and machine learning, given the impact of these systems on human lives. This requires engagement with a growing body of critical AI scholarship that goes beyond biased data to analyze structured ways of perpetuating inequality, opening up the possibility for interdisciplinary engagement and radical alternatives. [ABSTRACT FROM AUTHOR]

This paper discusses the meaning that interactive software agents and robots have in the context of mental therapy. This theoretical discussion is undertaken from a psychological and sociological perspective. It investigates what happens when interactive agents are introduced into current social situations. Methods of mental therapy vary from therapeutic conversation between clients and human therapists to interaction between clients and therapeutic animals such as dogs. This paper focuses on applications of interactive software agents and robots that substitute as autonomous artifacts behaving like humans for human therapists. In addition, some implications and policies for applications of interactive software agents and robots in mental therapy are discussed. [ABSTRACT FROM AUTHOR]

Shikake is a design approach that proposes solving problems by inducing spontaneous behavior, rather than by relying on the use of extensive resources or expertise. This paper contributes to the study of Shikake principles and examples by describing a methodology for their formalization in the declarative, logic-based language of Answer Set Prolog (ASP). Modeling qualitative theories and principles such as Shikake in the precise language of ASP can play a significant role in indicating possible areas for their future refinement and improvement, as shown here. Our formalization is used in creating a system, ShAsp, that can automatically determine if a design is a Shikake or not, as illustrated by two examples and one counterexample. [ABSTRACT FROM AUTHOR]

In general terms, Social Presence is a feeling of togetherness regardless of spatial or temporal separation. It is a socioemotional attitude that reflexively centres on other people, via perceptions of their affective attitudes towards oneself. Communication technologies contribute to the maintenance of close personal relationships by facilitating welcome and timely socioemotional presence in the mind of an absent other. Presence of this kind may be 'in the moment' of communication and also persist over time, as it is 'topped up' through repeated interactions. In this paper, we consider how type of personal relationship and degree of physical separation might condition the Social Presence value of a range of media. We report ratings of Closeness and Social Presence that were gathered over 21 days by 64 participants about the close personal relationships that were meaningful to them. We contrast the communication media they chose to use across four relationship types and whether separations were in the same or in a different city. Our findings are used to discuss new ways of thinking about the connection between people who care about one another, and the meaning of the void that separates them, through the time course of Social Presence and Closeness experiences. [ABSTRACT FROM AUTHOR]

This paper draws on the authors more than 10 years of involvement in the action research experience of the Milan Community Network. It discusses the roles that community networks play in the Information Society: starting from a neat characterization of “online community”, community networks are presented as ICT learning communities, as local online communities and as complementary to Digital Cities. Finally, critical insights into institutional aspects of community networks are considered from the perspective of their sustainability. [ABSTRACT FROM AUTHOR]