Despite facing significant criticism for assigning human-like characteristics to artificial intelligence, phrases like “trustworthy AI” are still commonly used in official documents and ethical guidelines. It is essential to consider why institutions continue to use these phrases, even though they are controversial. This article critically evaluates various reasons for using these terms, including ontological, legal, communicative, and psychological arguments. All these justifications share the common feature of trying to justify the official use of terms like “trustworthy AI” by appealing to (...) the need to reflect pre-existing facts, be it the ontological status, ways of representing AI or legal categories. The article challenges the justifications for these linguistic practices observed in the field of AI ethics and AI science communication. In particular, it takes aim at two main arguments. The first is the notion that ethical discourse can move forward without the need for philosophical clarification, bypassing existing debates. The second justification argues that it’s acceptable to use anthropomorphic terms because they are consistent with the common concepts of AI held by non-experts—exaggerating this time the existing evidence and ignoring the possibility that folk beliefs about AI are not consistent and come closer to semi-propositional beliefs. The article sounds a strong warning against the use of human-centric language when discussing AI, both in terms of principle and the potential consequences. It argues that the use of such terminology risks shaping public opinion in ways that could have negative outcomes. (shrink)

Definition of the problem This article critically addresses the conceptualization of trust in the ethical discussion on artificial intelligence (AI) in the specific context of social robots in care. First, we attempt to define in which respect we can speak of ‘social’ robots and how their ‘social affordances’ affect the human propensity to trust in human–robot interaction. Against this background, we examine the use of the concept of ‘trust’ and ‘trustworthiness’ with respect to the guidelines and recommendations of the High-Level (...) Expert Group on AI of the European Union. Arguments Trust is analyzed as a multidimensional concept and phenomenon that must be primarily understood as departing from trusting as a human functioning and capability. To trust is an essential part of the human basic capability to form relations with others. We further want to discuss the concept of _responsivity _which has been established in phenomenological research as a foundational structure of the relation between the self and the other. We argue that trust and trusting as a capability is fundamentally _responsive_ and needs responsive others to be realized. An understanding of _responsivity_ is thus crucial to conceptualize trusting in the ethical framework of human flourishing. We apply a phenomenological–anthropological analysis to explore the link between certain qualities of social robots that construct responsiveness and thereby simulate responsivity and the human propensity to trust. Conclusion Against this background, we want to critically ask whether the concept of trustworthiness in social human–robot interaction could be misguided because of the limited ethical demands that the constructed responsiveness of social robots is able to answer to. (shrink)

Nowadays, philosophers and scientists tend to agree that, even though human and artificial intelligence work quite differently, they can still illuminate aspects of each other, and knowledge in one domain can inspire progress in the other. For instance, the notion of “artificial” or “synthetic” phenomenology has been gaining some traction in recent AI research. In this paper, we ask the question: what (if anything) is the use of thinking about phenomenology in the context of AI, and in particular machine learning? (...) We will isolate one sense of “phenomenology”, namely the sense in which it is commonly understood within analytic philosophy of perception. Then, we will give examples of projects within sensory substitution and restoration science that rely heavily on machine learning and to which, according to us, phenomenology in the sense specified makes a relevant contribution. Finally, we will shed some light on what this contribution looks like and why it is important. (shrink)

Keskustelu tekoälyn soveltamiseen liittyvistä eettisistä ja poliittisista kysymyksistä käy juuri nyt kuumana. Emme halua tässä puheenvuorossa osallistua keskusteluun tarttumalla johonkin tiettyyn eettiseen ongelmaan. Sen sijaan pyrimme sanomaan jotain itsekeskustelusta ja sen vaikeudesta. Haluamme kiinnittää huomiota siihen, kuinka erilaiset ihmismielen ajattelutaipumukset ja virhepäätelmät voivat huomaamattamme vaikuttaa tapaamme hahmottaa ja ymmärtää tekoälyä ja siihen liittyviä eettisiä kysymyksiä. Kun ymmärrämme paremmin sen, kuinka hankalaa näiden kysymysten hahmottaminen arkisen mielemme kategorioilla oikein on, ja kun tunnistamme tästä syntyvät virhepäätelmät ja ajattelun vääristymät, kykenemme entistä korkeatasoisempaan (...) eettiseen arviointiin tekoälyyn liittyvissä kysymyksissä. Tarkoituksemme ei ole tarkastella loogisiavirhepäätelmiä, jotka rikkovat formaalin modus tollensin tai modus ponensin sääntöjä. Sen sijaan esittelemme empiirisiä tutkimustuloksia, jotka havainnollistavat ihmismielen taipumustatehdä systemaattisia virhearviointeja erilaisissa tilanteissa. (shrink)

The ethics of emerging forms of artificial intelligence has become a prolific subject in both academic and public spheres. A great deal of these concerns flow from the need to ensure that these technologies do not cause harm—physical, emotional or otherwise—to the human agents with which they will interact. In the literature, this challenge has been met with the creation of artificial moral agents: embodied or virtual forms of artificial intelligence whose decision procedures are constrained by explicit normative principles, requiring (...) the implementation of what is commonly called artificial morality into these agents. To date, the types of reasoning structures and principles which inform artificial morality have been of two kinds: first, an ethically maximal vision of artificial morality which relies on the strict implementation of traditional moral theories such as Kantian deontology or Utilitarianism, and second, a more minimalist vision which applies stochastic AI techniques to large data sets of human moral preferences so as to illicit or intuit general principles and preferences for the design of artificial morality. Taken individually, each approach is unable to fully answer the challenge of producing inoffensive behavior in artificial moral agents, most especially since both forms are unable to strike a balance between the ideal set of constraints which morality imposes on one hand, and the types of constraints public acceptability imposes, on the other. We provide an alternative approach to the design of artificial morality, the Ethical Valence Theory, whose purpose is to accommodate this balance, and apply this approach to the case of autonomous vehicles. (shrink)

Comparing frameworks for AI development allows us to see trends and reflect on how we are conceptualizing, interacting with, and imagining futures for AI. Recent scholarship comparing a range of AI frameworks has often focused methodologically on consensus, which has led to problems in evaluating potentially ambiguous values. We contribute to this scholarship using a rhetorical perspective attuned to how frameworks shape people’s actions. This perspective allows us to develop the concept of an “AI mainstream” through an analysis of five (...) of the highest-profile frameworks, including Asimov’s Three Laws. We identify four features of this emerging AI mainstream shared by most/all of the frameworks: human-centered design focus, abstraction-oriented ethical reasoning, privileged authorship, and ahistorical regulatory justifications. Notably, each of these features permeates each framework, rather than being limited to a single principle. We then evaluate these shared features and offer scholarly alternatives to complement and improve them. (shrink)

While philosophers have been debating for decades on whether different entities—including severely disabled human beings, embryos, animals, objects of nature, and even works of art—can legitimately be considered as having moral status, this question has gained a new dimension in the wake of artificial intelligence (AI). One of the more imminent concerns in the context of AI is that of the moral rights and status of social robots, such as robotic caregivers and artificial companions, that are built to interact with (...) human beings. In recent years, some approaches to moral consideration have been proposed that would include social robots as proper objects of moral concern, even though it seems unlikely that these machines are conscious beings. In the present paper, I argue against these approaches by advocating the “consciousness criterion,” which proposes phenomenal consciousness as a necessary condition for accrediting moral status. First, I explain why it is generally supposed that consciousness underlies the morally relevant properties (such as sentience) and then, I respond to some of the common objections against this view. Then, I examine three inclusive alternative approaches to moral consideration that could accommodate social robots and point out why they are ultimately implausible. Finally, I conclude that social robots should not be regarded as proper objects of moral concern unless and until they become capable of having conscious experience. While that does not entail that they should be excluded from our moral reasoning and decision-making altogether, it does suggest that humans do not owe direct moral duties to them. (shrink)

In The Onlife Manifesto: Being Human in a Hyperconnected Era Luciano Floridi and his associates examine various aspects of the contemporary meaning of humanity. Yet, their insights give less thought to the political economy of techno-capitalism that in large measure creates ICTs and leads to their further innovation, development and commercialization. This article responses to Floridi’s work and examines political economy of the blurred distinction between human, machine and nature in the postdigital context. Taking lessons from early history of the (...) Internet across the Eastern and the Western Bloc, it examines ideological underpinnings of development of information and communication technologies. The paper points towards the postdigital challenge of the rising importance of biological sciences, their mutual connection with information sciences, and the society at large. It introduces the concept of bio-informational capitalism, and closely examines the relationships between biology and information... (shrink)

Social robotics is a rapidly developing industry-oriented area of research, intent on making robots in social roles commonplace in the near future. This has led to rising interest in the dynamics as well as ethics of human-robot relationships, described here as a nascent relational turn. A contrast is drawn with the 1990s’ paradigm shift associated with relational-self themes in social psychology. Constructions of the human-robot relationship reproduce the “I-You-Me” dominant model of theorising about the self with biases that (as in (...) social constructionism) consistently accentuate externalist or “interactionist” standpoints as opposed to internalist or “individualistic”. Perspectives classifiable as “ecological relationalism” may compensate for limitations of interactionist-individualistic dimension. Implications for theorising subjectivity are considered. (shrink)

This paper tries to understand the phenomenon that humans are able to empathize with robots and the intuition that there might be something wrong with “abusing” robots by discussing the question regarding the moral standing of robots. After a review of some relevant work in empirical psychology and a discussion of the ethics of empathizing with robots, a philosophical argument concerning the moral standing of robots is made that questions distant and uncritical moral reasoning about entities’ properties and that recommends (...) first trying to understand the issue by means of philosophical and artistic work that shows how ethics is always relational and historical, and that highlights the importance of language and appearance in moral reasoning and moral psychology. It is concluded that attention to relationality and to verbal and non-verbal languages of suffering is key to understand the phenomenon under investigation, and that in robot ethics we need less certainty and more caution and patience when it comes to thinking about moral standing. (shrink)

This Commentary offers a critique of an eco-relational approach in robot ethics, highlighting the importance of articulating an ecologically-sensitive ethical orientation that incorporates the entire more-than-human world, including technological entities like forms of artificial intelligence. While the eco-relational approach enhances our understanding of the complex way in which morally significant properties operate on a phenomenological level, it is not without its flaws. In particular, this perspective focuses on ethical concepts when it needs to be rooted in ethical systems, misrepresents the (...) extant literature on relational approaches to moral status, and is insufficiently ecological in a way that would bring machines into the moral universe by way of their location in and importance to the larger environment. At a time when the legal status of robots is being decided before moral questions are settled, it remains important to get the contours of relevant debates right so that the robot ethics discourse brings us closer to developing practical solutions for ethical dilemmas emerging in our increasingly technological age. (shrink)

Don Ihde’s alterity relation focuses on the quasi-otherness of dynamic technologies that interact with humans. The alterity relation is one means to study relations between humans and artificial intelligence (AI) systems. However, research on alterity relations has not defined the difference between playing with a toy, using a computer, and interacting with a social robot or chatbot. We suggest that Ihde’s quasi-other concept fails to account for the interactivity, autonomy, and adaptability of social robots and chatbots, which more closely approach (...) human alterity. In this article, we will examine experiences with a chatbot, Replika, and a humanoid robot, a RealDoll, to show how some users experience AI systems as companions. First, we show that the perception of social robots and chatbots as intimate companions is grounded in communication. Advances in natural language processing (NLP) and natural language generation (NLG) allow a relationship to form between some users and social robots and chatbots. In this relationship, some users experience social robots and chatbots as more than quasi-others. We will use Kanemitsu’s another-other concept to analyze cases where social robots and chatbots should be distinguished from quasi-others. (shrink)

Military drones combine surveillance technology with missile equipment in a far-reaching way. In this article, I argue that military drones could and should be object for a philosophical investigation, referring in particular on Chamayou’s theory of the drone, who also coined the term “an eye turned into a weapon.” Focusing on issues of human self-understanding, agency, and alterity, I examine the intricate human-technology relations in the context of designing and deploying military drones. For that purpose, I am drawing on the (...) postphenomenological approach developed by Don Ihde in order to systematize the manifold aspects of human-technology relations in a four-level model. This inquiry also includes a critical reflection on the normative implications of this technology. In doing so, I do not intent to offer an exhaustive relational ontology of military drones. I rather aim at providing a framework that is able to capture the core dimensions of this technology and their complex interrelations in a systematic way that has been missing in the philosophical debate so far. (shrink)

This essay interrogates the common assumption that good care is necessarily human care. It looks to disruptive fictional representations of robot care to assist its development of a theory of posthuman care that jettisons the implied anthropocentrism of ethics of care philosophy but retains care’s foregrounding of entanglement, embodiment and obligation. The essay reads speculative representations of robot care, particularly the Swedish television programme Äkta människor (Real Humans), alongside ethics of care philosophy and critical posthumanism to highlight their synergetic critiques (...) of neoliberal affective economies and humanist hierarchies that treat some bodies and affects as more real than others. These texts and discourses assist me in proposing a theory of care that regards vulnerability as the normative effect of posthuman vital embodiment, as opposed to an anomalous state that can be overcome or corrected via neoliberal practice. (shrink)

Can we trust robots? Responding to the literature on trust and e-trust, this paper asks if the question of trust is applicable to robots, discusses different approaches to trust, and analyses some preconditions for trust. In the course of the paper a phenomenological-social approach to trust is articulated, which provides a way of thinking about trust that puts less emphasis on individual choice and control than the contractarian-individualist approach. In addition, the argument is made that while robots are neither human (...) nor mere tools, we have sufficient functional, agency-based, appearance-based, social-relational, and existential criteria left to evaluate trust in robots. It is also argued that such evaluations must be sensitive to cultural differences, which impact on how we interpret the criteria and how we think of trust in robots. Finally, it is suggested that when it comes to shaping conditions under which humans can trust robots, fine-tuning human expectations and robotic appearances is advisable. (shrink)

Intuitively, proper referential extensions of psychological and moral terms exclude artifacts. Yet ordinary speakers commonly treat AI robots as moral patients and use psychological terms to explain their behavior. This paper examines whether this referential shift from the human domain to the AI domain entails semantic changes: do ordinary speakers literally consider AI robots to be psychological or moral beings? Three non-literalist accounts for semantic changes concerning psychological and moral terms used in the AI domain will be discussed: the technical (...) view (ordinary speakers express technical senses), the habit view (ordinary speakers subconsciously express ingrained social habits), and the emotion view (ordinary speakers express their own affective empathetic emotional states). I discuss whether these non-literalist accounts accommodate the results of relevant empirical experiments. The non-literalist accounts are shown to be implausible with respect to the ordinary use of agency-terms (e.g., “believe,” “know,” “decide,” etc.), and therefore I conclude that the concepts ordinary speakers express by agency-terms in reference to AI robots are similar to the concepts they express when applying the same terms to humans. When ordinary speakers extend emotion-terms and/or moral-patiency-terms to AI robots, however, I argue that semantic changes have taken place because ordinary speakers are in fact referring to their own affective empathetic emotional states rather than AI robots. This argument suggests that the judgments made by ordinary speakers regarding the proper referential extensions of emotion-terms and moral-patiency-terms are fallacious. (shrink)

Following up on Thomas Nagel’s paper “What is it like to be a bat?” and Alan Turing’s essay “Computing machinery and intelligence,” it shall be claimed that a successful interaction of human beings and autonomous artificial agents depends more on which characteristics human beings ascribe to the agent than on whether the agent really has those characteristics. It will be argued that Masahiro Mori’s concept of the “uncanny valley” as well as evidence from several empirical studies supports that assertion. Finally, (...) some tentative conclusions concerning moral implications of the arguments presented here shall be drawn. (shrink)

In the past decade, the fields of machine learning and artificial intelligence (AI) have seen unprecedented developments that raise human-machine interactions (HMI) to the next level.Smart machines, i.e., machines endowed with artificially intelligent systems, have lost their character as mere instruments. This, at least, seems to be the case if one considers how humans experience their interactions with them. Smart machines are construed to serve complex functions involving increasing degrees of freedom, and they generate solutions not fully anticipated by humans. (...) Consequently, their performances show a touch of action and even autonomy. HMI is therefore often described as a sort of “cooperation” rather than as a mere application of a tool. Some authors even go as far as subsuming cooperation with smart machines under the label ofpartnership, akin to cooperation between human agents sharing a common goal. In this paper, we explore how far the notion of shared agency and partnership can take us in our understanding of human interaction with smart machines. Discussing different topoi related to partnerships in general, we suggest that different kinds of “partnership” depending on the form of interaction between agents need to be kept apart. Building upon these discussions, we propose a tentative taxonomy of different kinds of HMI distinguishing coordination, collaboration, cooperation, and social partnership. (shrink)