Personal AI assistants are now nearly ubiquitous. Every leading smartphone operating system comes with a personal AI assistant that promises to help you with basic cognitive tasks: searching, planning, messaging, scheduling and so on. Usage of such devices is effectively a form of algorithmic outsourcing: getting a smart algorithm to do something on your behalf. Many have expressed concerns about this algorithmic outsourcing. They claim that it is dehumanising, leads to cognitive degeneration, and robs us of our freedom and autonomy. (...) Some people have a more subtle view, arguing that it is problematic in those cases where its use may degrade important interpersonal virtues. In this article, I assess these objections to the use of AI assistants. I will argue that the ethics of their use is complex. There are no quick fixes or knockdown objections to the practice, but there are some legitimate concerns. By carefully analysing and evaluating the objections that have been lodged to date, we can begin to articulate an ethics of personal AI use that navigates those concerns. In the process, we can locate some paradoxes in our thinking about outsourcing and technological dependence, and we can think more clearly about what it means to live a good life in the age of smart machines. (shrink)

Where does the mind stop and the rest of the world begin? The question invites two standard replies. Some accept the demarcations of skin and skull, and say that what is outside the body is outside the mind. Others are impressed by arguments suggesting that the meaning of our words "just ain't in the head", and hold that this externalism about meaning carries over into an externalism about mind. We propose to pursue a third position. We advocate a very different (...) sort of externalism: an _active externalism_, based on the active role of the environment in driving cognitive processes. (shrink)

According to a standard view, the physical boundary of the person—the skin-and-skull boundary—matters morally because this boundary delineates between where the person begins and the world ends. On the basis of this view we make a distinction between invasive interventions that penetrate this boundary and non-invasive interventions that do not. The development of neuroprosthetics, however, raises questions about the significance of this boundary and the relationship between person and body. In particular it has been argued by appeal to the Extended (...) Mind thesis that mind and person can extend beyond the body, and hence the skin-and-skull boundary is of questionable significance. In this paper I argue that the Extended Mind thesis is consistent with the ethical relevance of the skin-and-skull barrier. Although it can be argued that cognitive processes and aspect of mind can extend beyond the skin-and-skull boundary as EM claims, it does not follow that the person is also extended beyond this boundary. The moral sense of person is closely related to the notion of person as a subject of experiences and this, in turn, is related to the sensory and somatosensory aspects of the body. The development of neuroprosthetics provides us with reason to see that persons can be variously embodied, but this is consistent with the functional and ethical significance of the skin-and-skull boundary. (shrink)

In the article “Nudging and Informed Consent”, Cohen argues that the use of “nudging” by physicians in the clinical encounter may be ethically warranted because it results in an informed consent where obligations for beneficence and respect for autonomy are both met. However, the author's overenthusiastic support for nudging and his quick dismissal of shared decision-making leads him to assume that “soft” manipulation is un-problematic and that “wisdom” on the side of medical professionals will suffice to guard against abuse. Opposing (...) this view, we propose that: 1) patient preferences and values should not be boiled down to rational or irrational decisions based on cognitive reasoning alone, 2) potential threats to the physician-patient must be mitigated and could be minimized by employing alternative strategies that acknowledge the impact of cognitive heuristics in shaping decision-making but maintain transparency and trust, and 3) patient preferences and values can be legitimately influenced only under specific circumstances. The latter include: (1) exhaustion of other means; (2) evidence that nudging is effective in a specific context; (3) evidence of clear and active public misinformation (e.g., industry promoting smoking); (4) explicit pubic dialogue between various stakeholders including medical professional societies about nudging; (5) upholding shared decision-making as a preferred approach; and (6) a rich understanding of clinical reality beyond the simple dichotomy of beneficence-autonomy. (shrink)

Recent rapid advances in Artificial Intelligence and Machine Learning have raised many questions about the regulatory and governance mechanisms for autonomous machines. Many commentators, scholars, and policy-makers now call for ensuring that algorithms governing our lives are transparent, fair, and accountable. Here, I propose a conceptual framework for the regulation of AI and algorithmic systems. I argue that we need tools to program, debug and maintain an algorithmic social contract, a pact between various human stakeholders, mediated by machines. To achieve (...) this, we can adapt the concept of human-in-the-loop from the fields of modeling and simulation, and interactive machine learning. In particular, I propose an agenda I call society-in-the-loop, which combines the HITL control paradigm with mechanisms for negotiating the values of various stakeholders affected by AI systems, and monitoring compliance with the agreement. In short, ‘SITL = HITL + Social Contract.’. (shrink)

The growing number of ‘smart’ instruments, those equipped with AI, has raised concerns because these instruments make autonomous decisions; that is, they act beyond the guidelines provided them by programmers. Hence, the question the makers and users of smart instrument face is how to ensure that these instruments will not engage in unethical conduct. The article suggests that to proceed we need a new kind of AI program—oversight programs—that will monitor, audit, and hold operational AI programs accountable.

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