As space travel and intentions to colonise other planets are becoming the norm in public debate and scholarship, we must also confront the technical and survival challenges that emerge from these hostile environments. This paper aims to evaluate the various arguments proposed to meet the challenges of human space travel and extraterrestrial planetary colonisation. In particular, two primary solutions have been present in the literature as the most straightforward solutions to the rigours of extraterrestrial survival and flourishing: (1) geoengineering, where the environment is modified to become hospitable to its inhabitants, and (2) human (bio)enhancement where the genetic heritage of humans is modified to make them more resilient to the difficulties they may encounter as well as to permit them to thrive in non-terrestrial environments. Both positions have strong arguments supporting them but also severe philosophical and practical drawbacks when exposed to different circumstances. This paper aims to show that a principled stance where one position is accepted wholesale necessarily comes at the opportunity cost of the other where the other might be better suited, practically and morally. This paper concludes that case-by-case evaluations of the solutions to space travel and extraterrestrial colonisation are necessary to ensure moral congruency and the survival and flourishing of astronauts now and into the future.

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As quantum technologies (QT) advance, their potential impact on and relation with society has been developing into an important issue for exploration. In this paper, we investigate the topic of democratization in the context of QT, particularly quantum computing. The paper contains three main sections. First, we briefly introduce different theories of democracy (participatory, representative, and deliberative) and how the concept of democratization can be formulated with respect to whether democracy is taken as an intrinsic or instrumental value. Second, we give an overview of how the concept of democratization is used in the QT field. Democratization is mainly adopted by companies working on quantum computing and used in a very narrow understanding of the concept. Third, we explore various narratives and counter-narratives concerning democratization in QT. Finally, we explore the general efforts of democratization in QT such as different forms of access, formation of grassroot communities and special interest groups, the emerging culture of manifesto writing, and how these can be located within the different theories of democracy. In conclusion, we argue that although the ongoing efforts in the democratization of QT are necessary steps towards the democratization of this set of emerging technologies, they should not be accepted as sufficient to argue that QT is a democratized field. We argue that more reflexivity and responsiveness regarding the narratives and actions adopted by the actors in the QT field and making the underlying assumptions of ongoing efforts on democratization of QT explicit, can result in a better technology for society.@en

In We Have Always Been Cyborgs (2021), Stefan L. Sorgner argues that, given the growing economic burden of desirable welfare programs, in order for Western democratic societies to continue to flourish it will be necessary that they establish some form of algocracy (i.e., governance by algorithm). This is argued to be necessary both in order to maintain the sustainability and efficiency of these programs, but also due to the fact that further integration of humans into technical systems provides the only effective means to bridge gaps in functionality and governance. However, Sorgner’s position is entirely insensitive to the design turn in applied ethics, which argues against the neutrality of technology, instead maintaining that technology and society co-construct each other with persistent feedback loops. This, I argue, is a problem for his account inasmuch as technologies, as they become more ubiquitous, likewise become pervasive and inextricable from our sociotechnical infrastructures. As such, less-than-beneficent forces, as current trends illustrate, can appropriate these seemingly banal infrastructures to gear them towards oppressive ends, thereby ultimately threatening the social democracies that Sorgner’s position aims to buttress.@en

Non possiamo immaginare un mondo senza le nostre tecnologie e i nostri strumenti. In molti modi, le nostre tecnologie sono ciò che ci definisce come esseri umani, separandoci dal resto del regno animale. Tuttavia, pensare alle nostre tecnologie come semplici strumenti, strumenti che possono essere usati nel bene o nel male, ci rende vulnerabili agli effetti sistemici e duraturi che le tecnologie hanno sulla nostra società, sui comportamenti, e sulle generazioni future. Oggetti Buoni esplora come le tecnologie incarnano i valori dei loro creatori. Prendendo questo approccio unico per guardare alle nostre importanti tecnologie, questa è la prima monografia in Italiano che esplora come le tecnologie siano sensibili al valore, dimostrando come possiamo orientare il nostro futuro attraverso un design intelligente ed etico. Piuttosto che aspettare il futuro, Oggetti Buoni ci mostra come possiamo progettare il nostro futuro per i valori che riteniamo più importanti.@en

In a recent article, Madelaine Ley evaluates the future of work, specifically robotised workplaces, via the lens of care ethics. Like many proponents of care ethics, Ley draws on the approach and its emphasis on relationality to understand ethical action necessary for worker wellbeing. Her paper aims to fill a research gap by shifting away from the traditional contexts in which care ethics is employed, i.e., health and care contexts and instead appropriates the approach to tackle the sociotechnicity of robotics and how caring should be integrated into non-traditional contexts. This paper comments on that of Ley’s, making the case that the author does, in fact, achieve this end while still leaving areas of potential future research open to buttressing the approach she presents.@en

The ethics of technology has primarily focused on what values are and how they can be embedded in technologies through design. In this context, some work has been done to show the efficacy of several design approaches. However, existing studies have not clearly pointed out the ways which design team managers can use design-for-values approaches to organise and use technologies in practice properly. This chapter attempts to fill this gap by discussing the value sensitive design (VSD) approach as a valuable means of co-designing technologies as a toolkit for existing workflow management, in this case, Agile. It will be demonstrated that VSD shows promise as a way of democratically designing technologies as well as fostering democratic technology policy innovation.@en

Although still highly controversial, the idea that we can use technology to radically alter our environment in order to mitigate the climate challenges we now face is becoming an ever more discussed approach. This chapter takes up a specific climate engineering technology, carbon capture, usage, and storage (CCUS), and highlights how this technology works and how its governance still needs further work to ensure that it is aligned with the ideal of sustainable development. Given that climate engineering technologies like CCUS have the potential to ameliorate many of the climate issues and support the SDGs, there remains a lacuna in inserting these globally impactful technologies within a normative political framework to respect that proper responsibility is attributed. The aim of the chapter is to examine the concept of accountability, how it has been traditionally understood in the literature, and why a polysemic and multidimensional account of accountability is required if climate engineering technologies like CCUS are actually to support sustainable development. This may serve as a first theoretically informed basis for reflection on how to create a synergy between the responsible deployment of climate engineering innovation and the achievement of the SDGs targets, one that can shed light on how justifications and decisions about sustainable strategies and constraints are managed, taken, and communicated.@en

The pervasiveness of AI-empowered technologies across multiple sectors has led to drastic changes concerning traditional social practices and how we relate to one another. Moreover, market-driven Big Tech corporations are now entering public domains, and concerns have been raised that they may even influence public agenda and research. Therefore, this chapter focusses on assessing and evaluating what kind of business model is desirable to incentivise the AI for Social Good (AI4SG) factors. In particular, the chapter explores the implications of this discourse for SDG #17 (global partnership) and how this goal may encourage Big Tech corporations to strengthen multi-stakeholder partnerships that promote effective public-private and civil society partnerships and the meaningful co-presence of non-market and market values. In doing so, the chapter proposes an analysis of the sociological notion of ‘social license to operate’ (SLO) elaborated in the mining and extractive industry literature and introduces it into the discourse on sustainable digital business models and responsible management of risks in the digital age. This serves to explore how such a social license can be adopted as a practice by digital business models to foster trust, collaboration and coordination among different actors – including AI researchers and initiatives, institutions and civil society at large – for the support of SDGs interrelated targets and goals.
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Various approaches have emerged over the last several decades to meet the challenges and complexities of anticipating and responding to the potential impacts of emerging technologies. Although many of the existing approaches share similarities, they each have shortfalls. This paper takes as the object of its study Anticipatory Ethics for Emerging Technologies (ATE) to technology assessment, given that it was formatted to address many of the privations characterising parallel approaches. The ATE approach, also in practice, presents certain areas for retooling, such as how it characterises levels and objects of analysis. This paper results from the work done with the TechEthos Horizon 2020 project in evaluating the ethical, legal, and social impacts of climate engineering, digital extended reality, and neurotechnologies. To meet the challenges these technology families present, this paper aims to enhance the ATE framework to encompass the variety of human processes and material forms, functions, and applications that comprise the socio-technical systems in which these technologies are embedded.@en

Autonomous weapons systems, often referred to as ‘killer robots’, have been a hallmark of popular imagination for decades. However, with the inexorable advance of artificial intelligence systems (AI) and robotics, killer robots are quickly becoming a reality. These lethal technologies can learn, adapt, and potentially make life and death decisions on the battlefield with little-to-no human involvement. This naturally leads to not only legal but ethical concerns as to whether we can meaningful control such machines, and if so, then how. Such concerns are made even more poignant by the ever-present fear that something may go wrong, and the machine may carry out some action(s) violating the ethics or laws of war. Researchers, policymakers, and designers are caught in the quagmire of how to approach these highly controversial systems and to figure out what exactly it means to have meaningful human control over them, if at all. In Designed for Death, Dr Steven Umbrello aims to not only produce a realistic but also an optimistic guide for how, with human values in mind, we can begin to design killer robots. Drawing on the value sensitive design (VSD) approach to technology innovation, Umbrello argues that context is king and that a middle path for designing killer robots is possible if we consider both ethics and design as fundamentally linked. Umbrello moves beyond the binary debates of whether or not to prohibit killer robots and instead offers a more nuanced perspective of which types of killer robots may be both legally and ethically acceptable, when they would be acceptable, and how to design for them.@en

This article’s main contributions are twofold: 1) to demonstrate how to apply the general European Union’s High-Level Expert Group’s (EU HLEG) guidelines for trustworthy AI in practice for the domain of healthcare and 2) to investigate the research question of what does “trustworthy AI” mean at the time of the COVID-19 pandemic. To this end, we present the results of a post-hoc self-assessment to evaluate the trustworthiness of an AI system for predicting a multiregional score conveying the degree of lung compromise in COVID-19 patients, developed and verified by an interdisciplinary team with members from academia, public hospitals, and industry in time of pandemic. The AI system aims to help radiologists to estimate and communicate the severity of damage in a patient’s lung from Chest X-rays. It has been experimentally deployed in the radiology department of the ASST Spedali Civili clinic in Brescia, Italy, since December 2020 during pandemic time. The methodology we have applied for our post-hoc assessment, called Z-Inspection®, uses sociotechnical scenarios to identify ethical, technical, and domain-specific issues in the use of the AI system in the context of the pandemic.@en

The costs of the COVID-19 pandemic are yet to be calculated, but they include the loss of millions of lives and the destruction of countless livelihoods. What is certain is that the SARS-CoV-2 virus has changed the way we live for the foreseeable future. It has forced many to live in ways they would have previously thought impossible. As well as challenging scientists and medical professionals to address urgent value conflicts in the short term, COVID-19 has raised slower-burning value questions for corporations, public institutions, governments, and policymakers. In simple terms, the pandemic has brought what we care about into sharp relief, both collectively and individually. Whether this revaluation of our values will last beyond the current pandemic is unknown. Once COVID-19 has been tamed, will the desire to return to our previous lives be irresistible? Or will living under pandemic conditions have taught us something that will be incorporated into how we design our future lives and technologies? These are hard questions for the ethics of technology, which this volume aims to explore and address.@en

There is a growing body of scholarship that is addressing the ethics, in particular, the bioethics of space travel and colonisation. Naturally, a variety of perspectives concerning the ethical issues and moral permissibility of different technological strategies for confronting the rigours of space travel and colonisation have emerged in the debate. Approaches ranging from genetically enhancing human astronauts to modifying the environments of planets to make them hospitable have been proposed as methods. This paper takes a look at a critique of human bioenhancement proposed by Mirko Garasic who argues that the bioenhancement of human astronauts is not only functional but necessary and thus morally permissible. However, he further claims that the bioethical arguments proposed for the context of space do not apply to the context of Earth. This paper forwards three arguments for how Garasic’s views are philosophically dubious: (1) when he examines our responsibility towards future generations he refers to a moral principle (which we will call the principle of mere survival) which, besides being vague, is not morally acceptable; (2) the idea that human bioenhancement is not natural is not only debatable but morally irrelevant; and (3) it is not true that the situations that may arise in space travel cannot occur on Earth. We conclude that not only is the (bio)enhancement of humans on Earth permissible but perhaps even necessary in certain circumstances.@en

The international debate on the ethics and legality of autonomous weapon systems (AWS), along with the call for a ban, primarily focus on the nebulous concept of fully autonomous AWS. These are AWS capable of target selection and engagement absent human supervision or control. This paper argues that such a conception of autonomy is divorced from both military planning and decision-making operations; it also ignores the design requirements that govern AWS engineering and the subsequent tracking and tracing of moral responsibility. To show how military operations can be coupled with design ethics, this paper marries two different kinds of meaningful human control (MHC) termed levels of abstraction. Under this two-tiered understanding of MHC, the contentious notion of ‘full’ autonomy becomes unproblematic.

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The impacts that AI and robotics systems can and will have on our everyday lives are already making themselves manifest. However, there is a lack of research on the ethical impacts and means for amelioration regarding AI and robotics within tourism and hospitality. Given the importance of designing technologies that cross national boundaries, and given that the tourism and hospitality industry is fundamentally predicated on multicultural interactions, this is an area of research and application that requires particular attention. Specifically, tourism and hospitality have a range of context-unique stakeholders that need to be accounted for in the salient design of AI systems is to be achieved. This paper adopts a stakeholder approach to develop the conceptual framework to centralize human values in designing and deploying AI and robotics systems in tourism and hospitality. The conceptual framework includes several layers – ‘Human-human-AI’ interaction level, direct and indirect stakeholders, and the macroenvironment. The ethical issues on each layer are outlined as well as some possible solutions to them. Additionally, the paper develops a research agenda on the topic.@en

Value sensitive design (VSD) is an established method for integrating values into technical design. It has been applied to different technologies and, more recently, to artificial intelligence (AI). We argue that AI poses a number of challenges specific to VSD that require a somewhat modified VSD approach. Machine learning (ML), in particular, poses two challenges. First, humans may not understand how an AI system learns certain things. This requires paying attention to values such as transparency, explicability, and accountability. Second, ML may lead to AI systems adapting in ways that ‘disembody’ the values embedded in them. To address this, we propose a threefold modified VSD approach: (1) integrating a known set of VSD principles (AI4SG) as design norms from which more specific design requirements can be derived; (2) distinguishing between values that are promoted and respected by the design to ensure outcomes that not only do no harm but also contribute to good, and (3) extending the VSD process to encompass the whole life cycle of an AI technology to monitor unintended value consequences and redesign as needed. We illustrate our VSD for AI approach with an example use case of a SARS-CoV-2 contact tracing app.@en

Traditional medical practices and relationships are changing given the widespread adoption of AI-driven technologies across the various domains of health and healthcare. In many cases, these new technologies are not specific to the field of healthcare. Still, they are existent, ubiquitous, and commercially available systems upskilled to integrate these novel care practices. Given the widespread adoption, coupled with the dramatic changes in practices, new ethical and social issues emerge due to how these systems nudge users into making decisions and changing behaviours. This article discusses how these AI-driven systems pose particular ethical challenges with regards to nudging. To confront these issues, the value sensitive design (VSD) approach is adopted as a principled methodology that designers can adopt to design these systems to avoid harming and contribute to the social good. The AI for Social Good (AI4SG) factors are adopted as the norms constraining maleficence. In contrast, higher-order values specific to AI, such as those from the EU High-Level Expert Group on AI and the United Nations Sustainable Development Goals, are adopted as the values to be promoted as much as possible in design. The use case of Amazon Alexa's Healthcare Skills is used to illustrate this design approach. It provides an exemplar of how designers and engineers can begin to orientate their design programs of these technologies towards the social good.@en