Intelligent neurotechnology is an emerging field that combines neurotechnologies like brain-computer interface (BCI) with artificial intelligence. This paper introduces a capability framework to assess the responsible use of intelligent BCI systems and provide practical ethical guidance. It proposes two tests, the threshold and flourishing tests, that BCI applications must meet, and illustrates them in a series of cases. After a brief introduction (Section 1), Section 2 sets forth the capability view and the two tests. It illustrates the threshold test using (...) examples from clinical medicine of BCI applications that enable patients with profound disabilities to function at a threshold level through computer mediation. Section 3 illustrates the flourishing test by exploring possible future applications of BCI involving neuroenhancements for healthy people, using examples adapted from research currently underway in the US military. Section 3 applies a capability lens to a complex case involving dual effects, both therapeutic and non-therapeutic, showing how the threshold and flourishing tests resolve the case. Section 4 replies to three objections: neurorights are the best tool for assessing BCI; the two tests are moving targets; and the analysis utilizes a capability view to do work it is not designed for. The paper concludes that a capability view offers unique advantages and gives practical guidance for evaluating the responsible use of present and future BCI applications. Extrapolating from our analysis may help guide other emerging technologies, such as germline gene editing, expected to impact central human capabilities. (shrink)

This paper proposes a conceptual framework to study and evaluate the impact of ‘Algorithmic Management’ (AM) on worker dignity. While the literature on AM addresses many concerns that relate to the dignity of workers, a shared understanding of what worker dignity means, and a framework to study it, in the context of software algorithms at work is lacking. We advance a conceptual framework based on a Capability Approach (CA) as a route to understanding worker dignity under AM. This paper contributes (...) to the existing AM literature which currently is mainly focused on exploitation and violations of dignity and its protection. By using a CA, we expand this focus and can evaluate the possibility that AM might also enable and promote dignity. We conclude that our CA-based conceptual framework provides a valuable means to study AM and then discuss avenues for future research into the complex relationship between worker dignity and AM systems. (shrink)

This article presents the framework Capability Sensitive Design (CSD), which consists of merging the design methodology Value Sensitive Design (VSD) with Martha Nussbaum's capability theory. CSD aims to normatively assess technology design in general, and technology design for health and wellbeing in particular. Unique to CSD is its ability to account for human diversity and to counter (structural) injustices that manifest in technology design. The basic framework of CSD is demonstrated by applying it to the hypothetical design case of a (...) therapy chatbot for mental health. By applying CSD to a design case, the merits of this new framework over the standard VSD approach become apparent. Also, the application demonstrates what a technology design would look like when attention is paid to capabilities right from the start of the design process. (shrink)

The use of the capability approach as an evaluative tool for Information and Communication Technology (ICT) policy and programs in developing countries, in particular at a grass-roots community level, is an emerging field of application. However, one of the difficulties with ICT for development (ICT4D) evaluations is in linking what is often no more than a resource, for example basic access, to actual outcomes, or means to end. This article argues that the capability approach provides a framework for evaluating the (...) strength of this linkage and that the latter is a key determinant of whether or not communities sustain ICT4D programs beyond the initial start-up phase. The argument is made by describing an evaluative application of the capabilities approach to community ICT4D programs using two Indigenous community case studies conducted in Cape York, in the far north-east of Australia. Key to the evaluative approach is the identification of community defined, context specific concepts of well-being and constitutive valued functionings and the derivation from this of required capabilities. This move away from normative definitions of capabilities or capability types to a definition that reflects the Indigenous culture, history, circumstances, and well-being aspirations of each community is intended to give a voice to the people and at the same time provide a deeper informational base—through narrative—for policy and program design than has previously been available. The article concludes that by operationalising the capability approach in a context and purpose specific way, policy and program design can be improved so as to include more communities on the margin and thereby achieve more socially inclusive ICT based development. A process is also outlined for using the evaluative application of the capability approach for community ICT4D within a policy feedback loop. (shrink)

The prevailing discourse around AI ethics lacks the language and formalism necessary to capture the diverse ethical concerns that emerge when AI systems interact with individuals. Drawing on Sen and Nussbaum’s capability approach, we present a framework formalizing a network of ethical concepts and entitlements necessary for AI systems to confer meaningful benefit or assistance to stakeholders. Such systems enhance stakeholders’ ability to advance their life plans and well-being while upholding their fundamental rights. We characterize two necessary conditions for morally (...) permissible interactions between AI systems and those impacted by their functioning, and two sufficient conditions for realizing the ideal of meaningful benefit. We then contrast this ideal with several salient failure modes, namely, forms of social interactions that constitute unjustified paternalism, coercion, deception, exploitation and domination. The proliferation of incidents involving AI in high-stakes domains underscores the gravity of these issues and the imperative to take an ethics-led approach to AI systems from their inception. (shrink)

Previously, we introduced a capability approach to assess the responsible use of brain-computer interface. In this commentary, we say more about the ethical basis of our capability view and respond to three objections. The first objection holds that by stressing that capability lists are provisional and subject to change, we threaten the persistence of human dignity, which is tied to capabilities. The second objection states that we conflate capabilities and abilities. The third objection claims that the goal of using neuroenhancements (...) should be preserving capabilities, not altering them. (shrink)

In the past few years, the ethical ramifications of AI technologies have been at the center of intense debates. Considerable attention has been devoted to understanding how a morally responsible practice of data science can be promoted and which values have to shape it. In this context, ethics and moral responsibility have been mainly conceptualized as compliance to widely shared principles. However, several scholars have highlighted the limitations of such a principled approach. Drawing from microethics and the virtue theory tradition, (...) in this paper, we formulate a different approach to ethics in data science which is based on a different conception of “being ethical” and, ultimately, of what it means to promote a morally responsible data science. First, we develop the idea that, rather than only compliance, ethical decision-making consists in using certain moral abilities, which are cultivated by practicing and exercising them in the data science process. An aspect of virtue development that we discuss here is moral attention, which is the ability of data scientists to identify the ethical relevance of their own technical decisions in data science activities. Next, by elaborating on the capability approach, we define a technical act as ethically relevant when it impacts one or more of the basic human capabilities of data subjects. Therefore, rather than “applying ethics”, data scientists should cultivate ethics as a form of reflection on how technical choices and ethical impacts shape one another. Finally, we show how this microethical framework concretely works, by dissecting the ethical dimension of the technical procedures involved in data understanding and preparation of electronic health records. (shrink)

The discussion about robots in elderly care is populated by doom scenarios about a totally dehumanized care system in which elderly people are taken care of by machines. Such scenarios are helpful as they attend us to what we think is important with regard to the quality elderly care. However, this article argues that they are misleading in so far as they (1) assume that deception in care is always morally unacceptable, (2) suggest that robots and other information technologies necessarily (...) deceive elderly people by creating a “virtual” world as opposed to a “real” world, (3) assume that elderly people of the future have similar ICT skills and interests as the elderly people of today, and (4) assume a simplistic view of technologies. The article suggests an approach to evaluating care robots and ICT in health care which acknowledges and addresses a number of ethical problems raised by robotic care—for instance disengagement problems—while taking into account that some elderly people may need care that does not treat them as (empirically) autonomous, that many the elderly of the future are likely to be digital natives, and that the task of evaluating technologies in care is more complicated than the discussion of deception suggests. (shrink)

As a relational concept, responsible innovation can be made more tangible by asking innovation of what and responsibility of whom for what? Arranging the scattered field of responsible innovation comprehensively, starting from an anthropological point of view, into five fields of tension and five categories of spearheads, may be theoretically and practically helpful while offering suggestions for both research and management.

The use of robots in therapy for children with autism spectrum disorder raises issues concerning the ethical and social acceptability of this technology and, more generally, about human–robot interaction. However, usually philosophical papers on the ethics of human–robot-interaction do not take into account stakeholders’ views; yet it is important to involve stakeholders in order to render the research responsive to concerns within the autism and autism therapy community. To support responsible research and innovation in this field, this paper identifies a (...) range of ethical, social and therapeutic concerns, and presents and discusses the results of an exploratory survey that investigated these issues and explored stakeholders’ expectations about this kind of therapy. We conclude that although in general stakeholders approve of using robots in therapy for children with ASD, it is wise to avoid replacing therapists by robots and to develop and use robots that have what we call supervised autonomy. This is likely to create more trust among stakeholders and improve the quality of the therapy. Moreover, our research suggests that issues concerning the appearance of the robot need to be adequately dealt with by the researchers and therapists. For instance, our survey suggests that zoomorphic robots may be less problematic than robots that look too much like humans. (shrink)

The potential contributions information and communication technology (ICT) can make to advancing human capabilities are acknowledged by both the capability approach (CA) and ICT communities. However, there is a lack of genuine engagement between the two communities. This paper addresses the question: How can a collaborative dialogue between the CA and ICT communities be advanced? A prerequisite to exploring collaboratively the potential use of particular technologies with specific capabilities is a conceptual framework within which a dialogue can be undertaken to (...) advance the operationalization of capabilities through the use of ICT. A communicative connection constituted of a dialogic space consisting of the CA and ICT communities and a set of normative values and objectives is proposed. The normative values of the communicative connection are derived from the human right to communicate (RTC) which serves as axiomatic principle of the communicative connection. The shared objectives are to operationalize through the use of ICT both the capability and the right to communicate, which are distinct but present in and reinforce each other. Alternative concepts of communication and freedom of expression to those held by the two communities is presented along with a comparison of the values embodied in the RTC and found in the CA. (shrink)

Digital communication between humans fundamentally changes the nature of communication. One inherent change is the acceleration of communication as a systematic change in societal life, particularly in the workplace. Often, the aim is to release time resources. However, the acceleration of communication also leads to the opposite: a lack of time. This paradoxical development can be based on an acceleration cycle whereby technologies seem to be a solution on the micro-level, but they are also a significant part of the problem (...) on the meso-level. (shrink)

Mere inability, which refers to what persons are naturally unable to do, is traditionally thought to be distinct from unfreedom, which is a social type of constraint. The advent of biomedical enhancement, however, challenges the idea that there is a clear division between mere inability and unfreedom. This is because bioenhancement makes it possible for some people’s mere inabilities to become matters of unfreedom. In this paper, I discuss several ways that this might occur: first, bioenhancement can exacerbate social pressures (...) to enhance one’s abilities; second, people may face discrimination for not enhancing; third, the new abilities made possible due to bioenhancement may be accompanied by new inabilities for the enhanced and unenhanced; and finally, shifting values around abilities and inabilities due to bioenhancement may reinforce a pre-existing ableism about human abilities. As such, we must give careful consideration to these potential unfreedom-generating outcomes when it comes to our moral evaluations of bioenhancement. (shrink)