28,482 research outputs found

    Companion robots: the hallucinatory danger of human-robot interactions

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    The advent of the so-called Companion Robots is raising many ethical concerns among scholars and in the public opinion. Focusing mainly on robots caring for the elderly, in this paper we analyze these concerns to distinguish which are directly ascribable to robotic, and which are instead preexistent. One of these is the “deception objection”, namely the ethical unacceptability of deceiving the user about the simulated nature of the robot’s behaviors. We argue on the inconsistency of this charge, as today formulated. After that, we underline the risk, for human-robot interaction, to become a hallucinatory relation where the human would subjectify the robot in a dynamic of meaning-overload. Finally, we analyze the definition of “quasi-other” relating to the notion of “uncanny”. The goal of this paper is to argue that the main concern about Companion Robots is the simulation of a human-like interaction in the absence of an autonomous robotic horizon of meaning. In addition, that absence could lead the human to build a hallucinatory reality based on the relation with the robot

    Towards an understanding of the impact of resources on the design process

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    Considerable effort has been devoted within the design research community to understanding the structure of design processes and their development for different design problems. Whilst much work has examined the impact of design goals upon the structure of a design process, less attention has been paid to the role that design resources can play. This paper describes an experiment directed towards gaining an understanding of the impact that both active resources (which perform design tasks) and passive resources (which are used by active resources) can have upon design process structure. Main outcomes from the experiment were the conclusive identification that resources can significantly impact design process structure and a number of examples of how these impacts manifest themselves. The main conclusion of the paper is that given the sizeable impact resources can have upon process structure, there is a considerable need to obtain a greater understanding of these impacts to facilitate the development of techniques that can support design process definition based upon an understanding of the design resources being used to solve a design problem

    An architecture for organisational decision support

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    The Decision Support (DS) topic of the Network Enabled Capability for Through Life Systems Engineering (NECTISE) project aims to provide organisational through-life decision support for the products and services that BAE Systems deliver. The topic consists of five streams that cover resource capability management, decision management, collaboration, change prediction and integration. A proposed architecture is presented for an Integrated Decision Support Environment (IDSE) that combines the streams to provide a structured approach to addressing a number of issues that have been identified by BAE Systems business units as being relevant to DS: uncertainty and risk, shared situational awareness, types of decision making, decision tempo, triggering of decisions, and support for autonomous decision making. The proposed architecture will identify how either individuals or groups of decision makers (including autonomous agents) would be utilised on the basis of their capability within the requirements of the scenario to collaboratively solve the decision problem. Features of the scenario such as time criticality, required experience level, the need for justification, and conflict management, will be addressed within the architecture to ensure that the most appropriate decision management support (system/naturalistic/hybrid) is provided. In addition to being reliant on a number of human factors issues, the decision making process is also reliant on a number of information issues: overload, consistency, completeness, uncertainty and evolution, which will be discussed within the context of the architecture

    Imaginative Value Sensitive Design: How Moral Imagination Exceeds Moral Law Theories in Informing Responsible Innovation

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    Safe-by-Design (SBD) frameworks for the development of emerging technologies have become an ever more popular means by which scholars argue that transformative emerging technologies can safely incorporate human values. One such popular SBD methodology is called Value Sensitive Design (VSD). A central tenet of this design methodology is to investigate stakeholder values and design those values into technologies during early stage research and development (R&D). To accomplish this, the VSD framework mandates that designers consult the philosophical and ethical literature to best determine how to weigh moral trade-offs. However, the VSD framework also concedes the universalism of moral values, particularly the values of freedom, autonomy, equality trust and privacy justice. This paper argues that the VSD methodology, particularly applied to nano-bio-info-cogno (NBIC) technologies, has an insufficient grounding for the determination of moral values. As such, an exploration of the value-investigations of VSD are deconstructed to illustrate both its strengths and weaknesses. This paper also provides possible modalities for the strengthening of the VSD methodology, particularly through the application of moral imagination and how moral imagination exceed the boundaries of moral intuitions in the development of novel technologies

    Filtration Failure: On Selection for Societal Sanity

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    This paper focuses on the question of filtration through the perspective of “too much information”. It concerns Western society within the context of new media and digital culture. The main aim of this paper is to apply a philosophical reading on the video game concept of Selection for Societal Sanity within the problematics of cultural filtration, control of behaviors and desire, and a problematization of trans-individuation that the selected narrative conveys. The idea of Selection for Societal Sanity, which derives from the first postmodern video game Metal Gear Solid 2: Sons of Liberty (2001), is applied into a philosophical framework based on select concepts from Bernard Stiegler’s writing and incorporating them with current events such as post-truth or fake news in order to explore the role of techne and filtration within social organizations and individual psyches. Alternate forms of behavior, which contest cultural paradigms, are re-problematized as tension between calculability and incalculability, or market value versus social bonding

    Embedded intelligence for electrical network operation and control

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    Integrating multiple types of intelligent, mulitagent data analysis within a smart grid can pave the way for flexible, extensible, and robust solutions to power network management

    Value of Organizational Ethics Training: A Two-Fold Benefit

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    The terms “business ethics” or “moral leadership” are regularly considered oxymorons (Gini, 2004). However, nearly all members of an organization want their leaders and the entities they lead to behave ethically (Bazerman & Tenbrunsel, 2011). Additionally, given the power and influence leaders have over their followers, ethics is critical to the process of leadership (Northouse, 2013). Leaders are at the pinnacle of organizational ethics, yet they fail for a variety of reasons, necessitating organizational ethics training. First, comprehensive ethics training provides clarity of an individual’s values, providing the foundation for sound ethical decision-making. Second, ethics training that transcends simple right and wrong misconduct scenarios provides a lasting framework from which to evaluate the multiple responses and outcomes of formulating an ethical decision. Using detailed cases that enable the trainees to examine and discuss the mental models used to make their decisions enhances ethical training effectiveness (Brock et al., 2008). Ultimately, the ethics training program must first assist all team members in clarifying their individual values and then make them aware of the common ethical biases that normally operate outside of their awareness. Then the training program must address the psychological level of ethical decisions to enable the individuals to make a habit of thinking ethically in every decision

    A Value-Sensitive Design Approach to Intelligent Agents

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    This chapter proposed a novel design methodology called Value-Sensitive Design and its potential application to the field of artificial intelligence research and design. It discusses the imperatives in adopting a design philosophy that embeds values into the design of artificial agents at the early stages of AI development. Because of the high risk stakes in the unmitigated design of artificial agents, this chapter proposes that even though VSD may turn out to be a less-than-optimal design methodology, it currently provides a framework that has the potential to embed stakeholder values and incorporate current design methods. The reader should begin to take away the importance of a proactive design approach to intelligent agents

    Beneficial Artificial Intelligence Coordination by means of a Value Sensitive Design Approach

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    This paper argues that the Value Sensitive Design (VSD) methodology provides a principled approach to embedding common values in to AI systems both early and throughout the design process. To do so, it draws on an important case study: the evidence and final report of the UK Select Committee on Artificial Intelligence. This empirical investigation shows that the different and often disparate stakeholder groups that are implicated in AI design and use share some common values that can be used to further strengthen design coordination efforts. VSD is shown to be both able to distill these common values as well as provide a framework for stakeholder coordination
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