Deep learning is currently the most prominent and widely successful method in artificial intelligence. Despite having played an active role in earlier artificial intelligence and neural network research, philosophers have been largely silent on this technology so far. This is remarkable, given that deep learning neural networks have blown past predicted upper limits on artificial intelligence performance—recognizing complex objects in natural photographs and defeating world champions in strategy games as complex as Go and chess—yet there remains no universally accepted explanation (...) as to why they work so well. This article provides an introduction to these networks as well as an opinionated guidebook on the philosophical significance of their structure and achievements. It argues that deep learning neural networks differ importantly in their structure and mathematical properties from the shallower neural networks that were the subject of so much philosophical reflection in the 1980s and 1990s. The article then explores several different explanations for their success and ends by proposing three areas of inquiry that would benefit from future engagement by philosophers of mind and science. (shrink)

With by far the lowest population density in the United States, myriad challenges attach to healthcare delivery in Alaska. In the “Size, Population, and Accessibility” section, we characterize this geographic context, including how it is exacerbated by lack of infrastructure. In the “Distributing Healthcare” section, we turn to healthcare economics and staffing, showing how these bear on delivery—and are exacerbated by geography. In the “Health Care in Rural Alaska” section, we turn to rural care, exploring in more depth what healthcare (...) delivery looks like outside of Alaska’s major cities. This discussion continues in the “Alaska’s Native Villages” section, which specifically analyzes healthcare in Alaska’s indigenous villages, some of the smallest and most isolated communities in the United States. Though many of the ways we could improve Alaskan health care for Alaskan residents are limited by its unique features, the “Justice and Healthcare Delivery” and “Technology and Telemedicine” sections consider ways in which certain policies and technology—including telemedicine—could mitigate the challenges developed in previous sections. (shrink)

A encyclopedia entry on the moral impacts that happen when information technologies are used to record, communicate and organize information. including the moral challenges of information technology, specific moral and cultural challenges such as online games, virtual worlds, malware, the technology transparency paradox, ethical issues in AI and robotics, and the acceleration of change in technologies. It concludes with a look at information technology as a model for moral change, moral systems and moral agents.

Artificial intelligence (AI) and robotics are digital technologies that will have significant impact on the development of humanity in the near future. They have raised fundamental questions about what we should do with these systems, what the systems themselves should do, what risks they involve, and how we can control these. - After the Introduction to the field (§1), the main themes (§2) of this article are: Ethical issues that arise with AI systems as objects, i.e., tools made and used (...) by humans. This includes issues of privacy (§2.1) and manipulation (§2.2), opacity (§2.3) and bias (§2.4), human-robot interaction (§2.5), employment (§2.6), and the effects of autonomy (§2.7). Then AI systems as subjects, i.e., ethics for the AI systems themselves in machine ethics (§2.8) and artificial moral agency (§2.9). Finally, the problem of a possible future AI superintelligence leading to a “singularity” (§2.10). We close with a remark on the vision of AI (§3). - For each section within these themes, we provide a general explanation of the ethical issues, outline existing positions and arguments, then analyse how these play out with current technologies and finally, what policy consequences may be drawn. (shrink)

Over the past two decades, ethical challenges related to robotics technologies have gained increasing interest among different research and non-academic communities, in particular through the field of roboethics. While the reasons to address roboethics are clear, why not to engage with ethics needs to be better understood. This paper focuses on a limited or lacking engagement with ethics that takes place within some parts of the robotics community and its implications for the conceptualisation of the human being. The underlying assumption (...) is that the term ‘ethical’ essentially means ‘human’. Thus, this paper discusses a working hypothesis according to which by avoiding to engage with roboethics, roboticists contribute to the tacit dehumanisation process emerging in and outside of robotics. An alternative approach includes ‘lived ethics’ which involves not only incorporating formal ethical approaches into the roboticists’ work but also ‘being’ ethical and actually engaging with ethical reflection and practice. (shrink)

This study aims to identify artificial intelligence (AI) technologies that are applied in climate-smart agricultural practices and address ethical concerns of deploying those technologies from legal perspectives. As climate-smart agricultural AI, the study considers those AI-based technologies that are used for precision agriculture, monitoring peat lands, deforestation tracking, and improved forest management. The study utilized a systematic literature review approach to identify and analyze AI technologies employed in climate-smart agriculture and associated ethical and legal concerns. The study findings indicate several (...) ethical concerns for deploying AI in climate-smart agricultural practices pertaining to data inaccuracy, other technical errors based on wrong recommendations or wrongful acts, data ownership and intellectual property issues, and economic issues resulting in digital division and privacy and security related issues. In this study, the ethical concerns were further examined based on criminal law, tort law, privacy and data protection law, and intellectual property law. In this regard, the study finds that the current tort law pattern is more suitable than the criminal law pattern to address some major ethical concerns, such as data inaccuracy and other technical errors based on wrong recommendations or wrongful acts. Finally, the study recommends that at the global level, all countries need to fill up the current gap of international law on climate-smart agriculture through agreeing on a standard set of legal provisions and enhancing collaboration in innovation and deployment of climate-smart agricultural AI. It further recommends that at the local level, countries need to adopt suitable regulations addressing multi-stakeholders’ interests associated with the deployment of climate-smart agricultural AIs. (shrink)

Ethics settings allow for morally significant decisions made by humans to be programmed into autonomous machines, such as autonomous vehicles or autonomous weapons. Customizable ethics settings are a type of ethics setting in which the users of autonomous machines make such decisions. Here two arguments are provided in defence of customizable ethics settings. Firstly, by approaching ethics settings in the context of failure management, it is argued that customizable ethics settings are instrumentally and inherently valuable for building resilience into the (...) larger socio-technical systems in which autonomous machines operate. Secondly, after defining the preliminary condition of responsibility attribution and demonstrating how ethics settings enable humans to exert control over the outcomes of morally significant incidents, it is shown that ethics settings narrow the responsibility gap. (shrink)

Expanding the debate about empathy with human beings, animals, or fictional characters to include human-robot relationships, this paper proposes two different perspectives from which to assess the scope and limits of empathy with robots: the first is epistemological, while the second is normative. The epistemological approach helps us to clarify whether we can empathize with artificial intelligence or, more precisely, with social robots. The main puzzle here concerns, among other things, exactly what it is that we empathize with if robots (...) do not have emotions or beliefs, since they do not have a consciousness in an elaborate sense. However, by comparing robots with fictional characters, the paper shows that we can still empathize with robots and that many of the existing accounts of empathy and mindreading are compatible with such a view. By so doing, the paper focuses on the significance of perspective-taking and claims that we also ascribe to robots something like a perspectival experience. The normative approach examines the moral impact of empathizing with robots. In this regard, the paper critically discusses three possible responses: strategic, anti-barbarizational, and pragmatist. The latter position is defended by stressing that we are increasingly compelled to interact with robots in a shared world and that to take robots into our moral consideration should be seen as an integral part of our self- and other-understanding. (shrink)

In this paper, I make a novel case for an expansive approach to engineering ethics education, one that regards micro-ethics and macro-ethics as essentially complementary. Although others have voiced support for including macro-ethical reflection within engineering ethics education, I advance a stronger claim, arguing that isolating engineering ethics from macro-level issues risks rendering even micro-ethical inquiry morally meaningless. I divide my proposal into four parts. First, I clarify the distinction between micro-ethics and macro-ethics as I am construing it, defending my (...) characterization against a potential worry. Second, I consider but reject some arguments for a restrictive approach, one that excludes macro-ethical reflection from engineering ethics education. Third, I offer my central argument for an expansive approach. Finally, I suggest that macro-ethics education can learn something valuable from micro-ethics pedagogy. On my proposal, students consider both micro- and macro-ethical problems from the deliberative perspective, situating micro-ethical problems within a broader social framework but also situating macro-ethical problems within an engaged, practical framework. By emphasizing the value of the deliberative perspective, my proposal contributes to a growing call to broaden the scope of engineering ethics education while maintaining its practical relevance. (shrink)

Social isolation and loneliness are ongoing threats to health made worse by the coronavirus disease 2019 pandemic. During the pandemic, half the globe's population have been placed under strict physical distancing orders and many long-term care facilities serving older adults went into lockdown mode, restricting access to all visitors, including family members. Before the pandemic emerged, a 2020 National Academy of Sciences, Engineering and Medicine report warned of the underappreciated adverse effects of social isolation and loneliness on health, especially among (...) older populations. Social isolation and loneliness predict all-cause mortality at rates that rival clinical risk factors, such as obesity and smoking; they are associated with greater incidence of psychological, cognitive, and physical morbidities. This paper sets forth a proposal to design robots to function as companions and friends for socially isolated and lonely older people during pandemic emergencies and in aging societies more generally. “The proposal” section presents and defends the proposal. The “Replies to objections” section answers objections based on coercive design, replacement of humans with robots, privacy incursions, and counterfeit companionship. The “Conclusion” section submits that sociable robots offer a promising avenue for addressing social isolation and loneliness during pandemics and hold promise for aging societies more broadly. (shrink)

This addendum expands upon the arguments made in the author’s 2020 essay, “Legal Personhood for Artificial Intelligence: Citizenship as the Exception to the Rule”, in an effort to display the significance human augmentation technologies will have on (feasibly) inadvertently providing legal protections to artificial intelligence systems (AIS)—a topic only briefly addressed in that work. It will also further discuss the impacts popular media have on imprinting notions of computerised behaviour and its subsequent consequences on the attribution of legal protections to (...) AIS and on speculative technological advancement that would aid the sophistication of AIS. (shrink)

The ethics of autonomous vehicles has received a great amount of attention in recent years, specifically in regard to their decisional policies in accident situations in which human harm is a likely consequence. Starting from the assumption that human harm is unavoidable, many authors have developed differing accounts of what morality requires in these situations. In this article, a strategy for AV decision-making is proposed, the Ethical Valence Theory, which paints AV decision-making as a type of claim mitigation: different road (...) users hold different moral claims on the vehicle’s behavior, and the vehicle must mitigate these claims as it makes decisions about its environment. Using the context of autonomous vehicles, the harm produced by an action and the uncertainties connected to it are quantified and accounted for through deliberation, resulting in an ethical implementation coherent with reality. The goal of this approach is not to define how moral theory requires vehicles to behave, but rather to provide a computational approach that is flexible enough to accommodate a number of ‘moral positions’ concerning what morality demands and what road users may expect, offering an evaluation tool for the social acceptability of an autonomous vehicle’s ethical decision making. (shrink)