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)

Writing is frequently analyzed as a mode of communication. But writing can be done for personal reasons, to remind oneself of things to do, of thoughts, of events. The cellphone has revealed this shift, commencing as a communication device and ending up as a memory prosthesis that records what we see, hear, read and think. The recordings are not necessarily for communicating a message to others, but sometimes just for oneself. Today, when machine learning algorithms read, write and transmit, a (...) new mode of communication arises that is not centered on the human. In this chapter the various phases of modern writing are modeled according to postphenomenology. As a branch of philosophy of technology, postphenomenology offers a set of analytical tools to study technologies and our relations to them. One of its central frameworks is the scheme of “I–technology–world.” The author proposes some modifications so that the scheme can systematically model the changes in the humans users, in machine learning algorithms imbued with non-human cognition and in the environments of readers, interlocutors and contexts. (shrink)

This article investigates the types of intentionality involved in human–technology relations. It aims to augment Don Ihde’s analysis of the relations between human beings and technological artifacts, by analyzing a number of concrete examples at the limits of Ihde’s analysis. The article distinguishes and analyzes three types of “cyborg intentionality,” which all involve specific blends of the human and the technological. Technologically mediated intentionality occurs when human intentionality takes place “through” technological artifacts; hybrid intentionality occurs when the technological actually merges (...) with the human; and composite intentionality is the addition of human intentionality and the intentionality of technological artifacts. (shrink)

_Artificial Knowing_ challenges the masculine slant in the Artificial Intelligence view of the world. Alison Adam admirably fills the large gap in science and technology studies by showing us that gender bias is inscribed in AI-based computer systems. Her treatment of feminist epistemology, focusing on the ideas of the knowing subject, the nature of knowledge, rationality and language, are bound to make a significant and powerful contribution to AI studies. Drawing from theories by Donna Haraway and Sherry Turkle, and using (...) tools of feminist epistemology, Adam provides a sustained critique of AI which interestingly re-enforces many of the traditional criticisms of the AI project. _Artificial Knowing_ is an esential read for those interested in gender studies, science and technology studies, and philosophical debates in AI. (shrink)

"... Dr. Ihde brings an enlightening and deeply humanistic perspective to major technological developments, both past and present." —Science Books & Films "Don Ihde is a pleasure to read.... The material is full of nice suggestions and details, empirical materials, fun variations which engage the reader in the work... the overall points almost sneak up on you, they are so gently and gradually offered." —John Compton "A sophisticated celebration of cultural diversity and of its enabling technologies.... perhaps the best single (...) volume relating the philosophical tradition to the broad issues raised by contemporary technologies." —Choice "... important and challenging... " —Review of Metaphysics "... a range of rich historical, cultural, philosophical, and psychological insights, woven together in an intriguing and clear exposition... The book is really a pleasure to read, for its style, immense learning and sanity." —Teaching Philosophy The role of tools and instruments in our relation to the earth and the ways in which technologies are culturally embedded provide the foci of this thought-provoking book. (shrink)

This book is the first postphenomenological analysis of the important roles the cellphone plays in contemporary everydayness. It is an example of a new methodology to study everyday technologies that combines historical research with a philosophical investigation.

Artificial Knowing challenges the masculine slant in the Artificial Intelligence (AI) view of the world. Alison Adam admirably fills the large gap in science and technology studies by showing us that gender bias is inscribed in AI-based computer systems. Her treatment of feminist epistemology, focusing on the ideas of the knowing subject, the nature of knowledge, rationality and language, are bound to make a significant and powerful contribution to AI studies. Drawing from theories by Donna Haraway and Sherry Turkle, and (...) using tools of feminist epistemology, Adam provides a sustained critique of AI which interestingly re-enforces many of the traditional criticisms of the AI project. Artificial Knowing is an esential read for those interested in gender studies, science and technology studies, and philosophical debates in AI. (shrink)

This article argues that an ethical framework will help to harness the potential of AI while keeping humans in control.