This paper surveys some recent work on realization in the philosophy of mind and the philosophy of science.

This paper attempts to do two things. First, it recounts the problem of intentionality, as it has typically been conceptualized, and argues that it needs to be reconceptualized in light of the radical form of externalism most commonly referred to as the extended mind thesis. Second, it provides an explicit, novel argument for that thesis, what I call the argument from meaning making, and offers some defense of that argument. This second task occupies the core of the paper, and in (...) completing it I distinguish _active _ _cognition_ from _cyborg fantasy arguments_ for externalism, and develop the analogy between the extended mind thesis in the cognitive sciences and developmental systems theory in developmental biology. The rethinking of the problem of intentionality on offer leads not so much to a solution as to a dissolution of that problem, as traditionally conceived. (shrink)

This paper examines extant ways of classifying varieties of psychological externalism and argues that they imply a hitherto unrecognized distinction between shallow and deep externalism. The difference is between starting points: shallowly externalist hypotheses begin with the attribution of psychological states to individuals, just as individualistic hypotheses do, whereas deeply externalistic hypotheses begin with agent-environment interaction as the basis of cognitive processes and attribute psychological states to individuals as necessary for such interaction. The over-arching aim is to show how deep (...) externalism works and what its implications are for psychological and philosophical theorizing. (shrink)

Machine learning-based AI algorithms lack transparency. In this article, I offer an interpretation of AI’s explainability problem and highlight its ethical saliency. I try to make the case for the legal enforcement of a strong explainability requirement: human organizations which decide to automate decision-making should be legally obliged to demonstrate the capacity to explain and justify the algorithmic decisions that have an impact on the wellbeing, rights, and opportunities of those affected by the decisions. This legal duty can be derived (...) from the demands of Rawlsian public reason. In the second part of the paper, I try to show that the argument from the limitations of human cognition fails to get AI off the hook of public reason. Against a growing trend in AI ethics, my main argument is that the analogy between human minds and artificial neural networks fails because it suffers from an atomistic bias which makes it blind to the social and institutional dimension of human reasoning processes. I suggest that developing interpretive AI algorithms is not the only possible answer to the explainability problem; social and institutional answers are also available and in many cases more trustworthy than techno-scientific ones. (shrink)

This paper discusses the current fashion for brain-based learning, in which value-laden claims about learning are grounded in neurophysiology. It argues that brain science cannot have the ‘authority’ about learning that some seek to give it. It goes on to discuss whether the claim that brain science is relevant to learning involves a category mistake. The heart of the paper tries to show how the contribution of brain science to our grasp of the nature of learning is limited in principle. (...) Finally the paper explores the potential of brain science to illuminate specific learning disabilities. (shrink)

In the good old days, when general philosophy of science ruled the Earth, a simple division was often invoked to talk about philosophical issues specific to particular kinds of science: that between the natural sciences and the social sciences. Over the last 20 years, philosophical studies shaped around this dichotomy have given way to those organized by more fine-grained categories, corresponding to specific disciplines, as the literatures on the philosophy of physics, biology, economics and psychology--to take the most prominent four (...) examples--have blossomed. In general terms, work in each of these areas has become increasingly enmeshed with that in the corresponding science itself, increasingly naturalistic (in at least one sense of that term), and in my view, increasingly interesting. (shrink)

Annotated bibliography of works on externalism and internalism in the philosophy of mind.