This paper explores the ways in which health care professionals, family carers, and older persons expressed attitudes and opinions on using Paro, a social robot designed to stimulate patients with dementia. Thereafter, we critically evaluate existing prejudicial views toward Paro users to provide recommendations for its future use. Using an exploratory qualitative interview method, we recruited a total of 67 participants in Switzerland. They included 23 care professionals, 17 family carers, and 27 older persons. Data obtained were analyzed thematically. Study (...) findings present general agreement that Paro is an appealing and beneficial social robot, but it is not a tool that everyone feels comfortable with. Because it is perceived as “child play,” it would be demeaning for competent adults to play with such things. Consequently, Paro is appropriate only for persons with dementia. These findings brought forth ethical concerns about deception, infantilization, and respecting older persons' dignity. The idea of who is an appropriate Paro user led to our discussions on predicting future Paro users. The meaning of using social robotics in nursing homes can be conditioned by a rigid interpretation of adulthood and playful behavior. To protect future selves when one is living with dementia from prejudices, it may be useful for older persons and their loved ones to plan their future care situations to ensure that they are treated in accordance with their delineated decisions. (shrink)

Conceptual engineering is the design, evaluation and implementation of concepts. Despite its popularity, some have argued that the methodology is not worthwhile, because the implementation of new concepts is both inscrutable and beyond our control. In the recent literature we see different responses to this worry. Some have argued that it is for political reasons just as well that implementation is such a difficult task, while others have challenged the metasemantic and social assumptions that underlie this skepticism about implementation. In (...) this paper, I argue that even if implementation is as difficult as critics maintain, there is at least one context in which conceptual engineering is extremely impactful and demonstrably so: the design of new technology. Different conceptions of control, freedom, trust, etc. lead to different designs and implementations of systems that are built to embed those concepts. This means that if we want to design for control, freedom, trust, etc., we have to decide which conception we ought to use. When we determine what the appropriate conception of a concept is in a technological context and use this conception to operationalize a norm or value, we generate requirements which have real-world effects. This not only shows that conceptual engineering can be extremely impactful, the fact that it leads to different design requirements means that we have a way to evaluate our conceptual choices and that we can use this feedback loop to improve upon our conceptual work By illustrating the direct impacts of different conceptions on technology design, this paper underscores the practical applicability and value of conceptual engineering, demonstrating how it serves as a crucial bridge between abstract philosophical analysis and concrete technological innovation. (shrink)

Organizations such as the EU High-Level Expert Group on AI and the IEEE have recently formulated ethical principles and (moral) values that should be adhered to in the design and deployment of artificial intelligence (AI). These include respect for autonomy, non-maleficence, fairness, transparency, explainability, and accountability. But how can we ensure and verify that an AI system actually respects these values? To help answer this question, I propose an account for determining when an AI system can be said to embody (...) certain values. This account understands embodied values as the result of design activities intended to embed those values in such systems. AI systems are here understood as a special kind of sociotechnical system that, like traditional sociotechnical systems, are composed of technical artifacts, human agents, and institutions but—in addition—contain artificial agents and certain technical norms that regulate interactions between artificial agents and other elements of the system. The specific challenges and opportunities of embedding values in AI systems are discussed, and some lessons for better embedding values in AI systems are drawn. (shrink)

Representations of science and technology, embodied as imaginaries, visions, and expectations, have become a growing focus of analysis. These representations are of interest to normative approaches to science and technology, such as Hermeneutic Technology Assessment and Responsible Innovation, because of their ability to modulate understandings of science and technology and to influence scientific and technological development. This article analyses the culture of participation underlying the NanoKOMIK project and the representations and meanings of (nano)science and (nano)technology communicated in the two nano-fiction (...) comic books created as part of the project: _Dayanne and Murillo. The power of nanoscience_ (2016) and _NanoKOMIK #2_ (2017). The article argues that despite NanoKOMIK’s efforts to engage the public with (nano)science and (nano)technology, it reproduces non-binding modes of public participation and transmits socio-technical meanings that are instrumental in the social legitimisation of (nano)technology. More specifically, the analysis shows that NanoKOMIK’s comic books, in addition to not problematising the risks and conveying an eminently positive view of nanotechnology, also communicate certain ‘myth-conceptions’ of scientific activity and its products. For example, they convey an individualistic and linear vision of research and innovation and an instrumentalist and neutral (or ‘value-free’) view of technology. These findings highlight the importance of critically analysing the ‘cultures of participation’ that characterise and reproduce ‘participatory’ or ‘collaborative’ projects and the representations of (nano)science and (nano)technology that they perpetuate. (shrink)

Organisations that design and deploy artificial intelligence (AI) systems increasingly commit themselves to high-level, ethical principles. However, there still exists a gap between principles and practices in AI ethics. One major obstacle organisations face when attempting to operationalise AI Ethics is the lack of a well-defined material scope. Put differently, the question to which systems and processes AI ethics principles ought to apply remains unanswered. Of course, there exists no universally accepted definition of AI, and different systems pose different ethical (...) challenges. Nevertheless, pragmatic problem-solving demands that things should be sorted so that their grouping will promote successful actions for some specific end. In this article, we review and compare previous attempts to classify AI systems for the purpose of implementing AI governance in practice. We find that attempts to classify AI systems proposed in previous literature use one of three mental models: _the Switch_, i.e., a binary approach according to which systems either are or are not considered AI systems depending on their characteristics; _the Ladder_, i.e., a risk-based approach that classifies systems according to the ethical risks they pose; and _the Matrix_, i.e., a multi-dimensional classification of systems that take various aspects into account, such as context, input data, and decision-model. Each of these models for classifying AI systems comes with its own set of strengths and weaknesses. By conceptualising different ways of classifying AI systems into simple mental models, we hope to provide organisations that design, deploy, or regulate AI systems with the vocabulary needed to demarcate the material scope of their AI governance frameworks. (shrink)

The paper deals with the quandary of the neutrality and transparency of technologies. First, I show how this problem is connected with the image of the opening of 'black boxes' that is pivotal to much of science and technology studies. Second, methodological and socio-political dimensions of the 'black box' metaphor are discussed. Third, I analyze three typical solutions to the problem of the neutrality of technologies outside and inside constructivist technology studies. It is demonstrated that despite their apparent differences, these (...) solutions are similar in their logic of conceptualizing technology as a neutral intermediary. Forth, I look for an alternative to this logic in the actor-network theory of Bruno Latour. Here technologies are conceived in terms of an eventful association of heterogeneous entities irreducible to its conditions of possibility. The construction of technologies is understood as mediation, or as a 'making-do' process where creators are surprised by their creations and vice versa. In Latour's actor-network, technologies are interpreted as opaque and non-neutral entities. Finally, I turn to some object-lessons from smart technologies powered by neural networks to demonstrate that these are empirical vindications of Latour's conception of technical mediation. Particular attention is paid to the opacity and (non)interpretability of machine learning algorithms. (shrink)

This paper clarifies and answers the following question: is technology morally neutral? It is argued that the debate between proponents and opponents of the Neutrality Thesis depends on different underlying assumptions about the nature of technological artifacts. My central argument centres around the claim that a mere physicalistic vocabulary does not suffice in characterizing technological artifacts as artifacts, and that the concepts of function and intention are necessary to describe technological artifacts at the right level of description. Once this has (...) been established, I demystify talk about the possible value-ladenness of technological artifacts by showing how these values can be empirically identified. I draw from examples in biology and the social sciences to show that there is a non-mysterious sense in which functions and values can be empirically identified. I conclude from this that technology can be value-laden and that its value-ladenness can both derive from the intended functions as well as the harmful non-intended functions of technological artifacts. (shrink)

Value Sensitive Design (VSD) is a design methodology developed by Batya Friedman and Peter Kahn (2003) that brings in moral deliberations in an early stage of a design process. It assumes that neither technology itself is value neutral, nor shifts the value-ladennes to the sole usage of technology. This paper adds to emerging literature onVSD for autonomous weapons systems development and discusses extant literature on values in autonomous systems development in general and in autonomous weapons development in particular. I identify (...) opportunities, such as public debates, and threats, such as the classified nature of the design process, for VSD in autonomous weapons development. This paper contributes to academic debates about the non-neutrality of technology by pointing out that values have been and can be explicitly designed into autonomous systems. It is informative for policy makers and designers who are tasked with developing actual autonomous weapons or policies around such systems, as they learn about an established design methodology that is sensitive to societal concerns and industry needs and that can be applied to autonomous weapons systems. (shrink)

Purpose. The main objective of this article is to discuss the suitability of moral and ordre public clauses, and to advance the view that ethical reflection within patent systems is valuable. Methodology. This is a conceptual paper that draws upon the present situation in Europe to illuminate a discussion of the different views about the morality patents, with particular emphasis on criticism of authors who have espoused a narrow interpretation of moral clauses, such as that adopted by the EPO. Findings. (...) This research found that the claim that patent systems are not appropriate places in which to evaluate moral matters and, therefore, they cannot inform us about morality, is false. This is because inventors do not need to wait for authorizing legislation prior to making use of their technology. Hence, moral implications can be evaluated. Practical implications. It is shown how the bioethicist community can be incorporated into patent offices. The responsibilities of examiners and businesses in the process are also discussed. Research limitations/implications. These ideas also lead to important theoretical consequences, especially regarding the debate on value-laden science and technology. However, further efforts are needed to address other patent regimes, such as the non-European. Originality. There have been a limited number of studies that examine the value of ethical considerations within the patent system. This article provides a thought-provoking discussion of moral clauses in Europe. I also suggest new ways of incorporating ethical scrutiny into patent systems. (shrink)

In this paper I argue that Artificial Intelligence and the many data science methods associated with it, such as machine learning and large language models, are first and foremost epistemic technologies. In order to establish this claim, I first argue that epistemic technologies can be conceptually and practically distinguished from other technologies in virtue of what they are designed for, what they do and how they do it. I then proceed to show that unlike other kinds of technology (_including_ other (...) epistemic technologies) AI can be uniquely positioned as an epistemic technology in that it is primarily designed, developed and deployed to be used in _epistemic contexts_ such as inquiry, it is specifically designed, developed and deployed to manipulate _epistemic content_ such as data, _and_ it is designed, developed and deployed to do so particularly through _epistemic operations_ such as prediction and analysis. As has been shown in recent work in the philosophy and ethics of AI (Alvarado, AI and Ethics, 2022a), understanding AI as an epistemic technology will also have significant implications for important debates regarding our relationship to AI technologies. This paper includes a brief overview of such implications, particularly those pertaining to explainability, opacity, trust and even epistemic harms related to AI technologies. (shrink)