Statistical models and expected mean squares [E(MS)] are important concepts that facilitate the extensive use of analysis of variance designs. These concepts were developed in the basic statistics area from 1939 through the 1950s. They were introduced into psychological statistics during the late 1950s and have been useful in attacking some statistical problems. Also, they simplify the teaching of ANOVA designs.

We are sceptical of concerns over the opacity of algorithmic decision tools. While transparency and explainability are certainly important desiderata in algorithmic governance, we worry that automated decision-making is being held to an unrealistically high standard, possibly owing to an unrealistically high estimate of the degree of transparency attainable from human decision-makers. In this paper, we review evidence demonstrating that much human decision-making is fraught with transparency problems, show in what respects AI fares little worse or better and argue that (...) at least some regulatory proposals for explainable AI could end up setting the bar higher than is necessary or indeed helpful. The demands of practical reason require the justification of action to be pitched at the level of practical reason. Decision tools that support or supplant practical reasoning should not be expected to aim higher than this. We cast this desideratum in terms of Daniel Dennett’s theory of the “intentional stance” and argue that since the justification of action for human purposes takes the form of intentional stance explanation, the justification of algorithmic decisions should take the same form. In practice, this means that the sorts of explanations for algorithmic decisions that are analogous to intentional stance explanations should be preferred over ones that aim at the architectural innards of a decision tool. (shrink)

The purpose of this book is to give a coherent account of the different perspectives on science and technology that are normally studied under various disciplinary heads such as philosophy of science, sociology of science and science policy. It is intended for students embarking on courses in these subjects and assumes no special knowledge of any science. It is written in a direct and simple style, and technical language is introduced very sparingly. As various perspectives are sketched out in this (...) book, the reader moves towards a consistent conception of contemporary science as a rapidly changing social institution that has already grown out of its traditional forms and plays a central role in society at large. It will appeal to students in a wide range of scientific disciplines and complement well Professor Ziman's earlier books. (shrink)

Kant’s philosophy of science takes on sharp contour in terms of his interaction with the practicing life scientists of his day, particularly Johann Blumenbach and the latter’s student, Christoph Girtanner, who in 1796 attempted to synthesize the ideas of Kant and Blumenbach. Indeed, Kant’s engagement with the life sciences played a far more substantial role in his transcendental philosophy than has been recognized hitherto. The theory of epigenesis, especially in light of Kant’s famous analogy in the first Critique, posed crucial (...) questions regarding the ‘looseness of fit’ between the constitutive and the regulative in Kant’s theory of empirical law. A detailed examination of Kant’s struggle with epigenesis between 1784 and 1790 demonstrates his grave reservations about its hylozoist implications, leading to his even stronger insistence on the discrimination of constitutive from regulative uses of reason. The continuing relevance of these issues for Kant’s philosophy of science is clear from the work of Buchdahl and its contemporary reception. (shrink)

The danger of human operators devolving responsibility to machines and failing to detect cases where they fail has been recognised for many years by industrial psychologists and engineers studying the human operators of complex machines. We call it “the control problem”, understood as the tendency of the human within a human–machine control loop to become complacent, over-reliant or unduly diffident when faced with the outputs of a reliable autonomous system. While the control problem has been investigated for some time, up (...) to this point its manifestation in machine learning contexts has not received serious attention. This paper aims to fill that gap. We argue that, except in certain special circumstances, algorithmic decision tools should not be used in high-stakes or safety-critical decisions unless the systems concerned are significantly “better than human” in the relevant domain or subdomain of decision-making. More concretely, we recommend three strategies to address the control problem, the most promising of which involves a complementary coupling between highly proficient algorithmic tools and human agents working alongside one another. We also identify six key principles which all such human–machine systems should reflect in their design. These can serve as a framework both for assessing the viability of any such human–machine system as well as guiding the design and implementation of such systems generally. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Philosophy after ChristJohn O'CallaghanConsider the words of Justin Martyr written in the middle of the second century after the birth of Christ and after Justin's conversion to Christianity:Philosophy is indeed one's greatest possession, and is most precious in the sight of God, to whom it alone leads us and to whom it unites us, and in truth they who have applied themselves to philosophy are holy men.1In addition to (...) the praise heaped upon the philosophers, among whom Justin had counted himself before his conversion,2 the text is one of the earliest pieces of evidence for the historical reality of Christian intellectual engagement with pagan or secular philosophy. Whether that engagement proved spiritually fruitful or sterile in any particular age or any particular tradition of philosophy, Christian intellectuals have often sought out engagement with philosophy as an inherent task of the intellectual life of the Church, in order to pursue and develop the understanding of Christian revelation and the mode of life informed by it. One lasting result of the impetus represented by Justin is to be found even now in the normative requirement in Catholic education that, at a certain stage of development, anyone who receives a [End Page 49] serious Catholic education must be introduced to serious philosophical reflection on where we came from, what we are, and where we are born to go.In addition, one of the general points John Henry Newman made in The Idea of a University is that the human mind looks for unity in the diversity of intellectual disciplines it pursues. In search of this unity, it seeks a kind of primary discipline that takes into account the truths discovered throughout the other disciplines as it seeks to understand what it can of the whole of reality, not just its parts. But Newman also pointed out that, in the absence of such a unifying discipline, practitioners of each particular discipline will often claim for their particular discipline the prize of being primary—of being the discipline by which all others must be understood and judged.3Take classical and modern physics. A familiar claim of some physicists, but even more so of non-physicist physicalists, is that physics is the fundamental intellectual discipline for understanding what is real. All reality, living reality, historical reality, moral reality, indeed perhaps even literary reality, must be reduced to reality as described by the physicists or rejected as unreal or epiphenomenal, or in a kinder, gentler vein, non-reductively emergent and supervenient. Whichever position is taken, whether reduction, non-reductive emergence, or epiphenomenalism, the thought is that the real work of the really real is done by reality as described by physics, either in its actual contemporary state or, more likely, in an idealized future state always on the horizon of where physics presently is. We are really atoms spinning ceaselessly in the void, mostly empty space, the warp and woof of a four-dimensional space-time manifold, or congeries of strings in an even more bizarre thirteen-dimensional manifold, or whatever was said most recently to surpass what was said before that by the leading physicists in California or Cambridge.However, anyone who has actually practiced physics knows that, even when uttered by a physicist, these are not claims of physics, but about physics. What prompts them is the sense that there is no intellectual discipline other than contemporary physics itself that can both understand the achievements of physics and integrate them into a larger intellectual comprehension of reality as a whole. These claims about physics nicely display Newman's point about the way in which a particular discipline, in the absence of a larger more comprehensive discipline, can take on an importance for its practitioners well beyond its disciplinary limits. [End Page 50]In the case of physics, if a more comprehensive unifying discipline is not to be found, this attitude is not entirely unjustified, for Newman's point is partly Aristotelian. Aristotle had pointed out that, if one cannot show that unchangeable, and thus non-physical beings, exist, then what Aristotle called "first philosophy" would just be physics as he understood it, the science of... (shrink)