Sam Harris is a contemporary illustration of the difficulties standing in the way of coherent interdisciplinary thinking in an age where science and the humanities have drifted so far apart. We are here with Harris’s views on AI, and specifically with his view according to which, with the advance of AI, there will evolve a machine superintelligence with powers that far exceed those of the human mind. This he sees as something that is not merely possible, but rather a matter (...) of inevitability. If, however, we look carefully at what intelligence is, and at how computers really work on the basis of mathematical models, then we can see that it is forever impossible to emulate inside a computer even the intelligence of crows or rabbits, let alone that of human beings. (shrink)

Why are mistaken beliefs about Covid-19 so prevalent? Political identity, education and other demographic variables explain only a part of individual differences in the susceptibility to Covid-19 misinformation. This paper focuses on another explanation: epistemic vice. Epistemic vices are character traits that interfere with acquiring, maintaining, and transmitting knowledge. If the basic assumption of vice epistemology is right, then people with epistemic vices such as indifference to the truth or rigidity in their belief structures will tend to be more susceptible (...) to believing Covid-19 misinformation. We carried out an observational study (US sample, n = 998) in which we measured the level of epistemic vice of participants using a novel Epistemic Vice Scale. We also asked participants questions eliciting the extent to which they subscribe to myths and misinformation about Covid-19. We find overwhelming evidence to the effect that epistemic vice is associated with susceptibility to Covid-19 misinformation. In fact, the association turns out to be stronger than with political identity, educational attainment, scores on the Cognitive Reflection Test, personality, dogmatism, and need for closure. We conclude that this offers evidence in favor of the empirical presuppositions of vice epistemology. (shrink)

In his “Bridging mainstream and formal ontology”, Augusto (2021) gives an excellent analysis of Dietrich von Freiberg’s idea of using causality as a partitioning principle for upper ontologies. For this Dietrich’s notion of extrinsic principles is crucial. The question whether causation can and indeed should be used as a partitioning principle for ontologies is discussed using mathematics and physics as examples.

Artificial intelligence (AI) research enjoyed an initial period of enthusiasm in the 1970s and 80s. But this enthusiasm was tempered by a long interlude of frustration when genuinely useful AI applications failed to be forthcoming. Today, we are experiencing once again a period of enthusiasm, fired above all by the successes of the technology of deep neural networks or deep machine learning. In this paper we draw attention to what we take to be serious problems underlying current views of artificial (...) intelligence encouraged by these successes, especially in the domain of language processing. We then show an alternative approach to language-centric AI, in which we identify a role for philosophy. (shrink)

Beneath the stylized violence and thrilling car crashes, the Mad Max films consider universal questions about the nature of human life, order and anarchy, justice and moral responsibility, society and technology, and ultimately, human redemption. In Mad Max and Philosophy, a diverse team of political scientists, historians, and philosophers investigates the underlying themes of the blockbuster movie franchise, following Max as he attempts to rebuild himself and the world. -/- This book guides you through the barren wastelands of a post-apocalyptic (...) future as you explore ethics and politics in The Wasteland, the importance of costumes and music, humankind's relationship with nature, commerce, gender, religion, madness, and more. (shrink)

The book’s core argument is that an artificial intelligence that could equal or exceed human intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical reasons impossible. It offers two specific reasons for this claim: Human intelligence is a capability of a complex dynamic system—the human brain and central nervous system. Systems of this sort cannot be modelled mathematically in a way that allows them to operate inside a computer. In supporting their claim, the authors, Jobst Landgrebe and Barry Smith, marshal (...) evidence from mathematics, physics, computer science, philosophy, linguistics, and biology, setting up their book around three central questions: What are the essential marks of human intelligence? What is it that researchers try to do when they attempt to achieve "artificial intelligence" (AI)? And why, after more than 50 years, are our most common interactions with AI, for example with our bank’s computers, still so unsatisfactory? Landgrebe and Smith show how a widespread fear about AI’s potential to bring about radical changes in the nature of human beings and in the human social order is founded on an error. There is still, as they demonstrate in a final chapter, a great deal that AI can achieve which will benefit humanity. But these benefits will be achieved without the aid of systems that are more powerful than humans, which are as impossible as AI systems that are intrinsically "evil" or able to "will" a takeover of human society. (shrink)

To find more information about Rowman and Littlefield titles, please visit www.rowmanlittlefield.com.

The term ‘intelligence’ as used in this paper refers to items of knowledge collected for the sake of assessing and maintaining national security. The intelligence community (IC) of the United States (US) is a community of organizations that collaborate in collecting and processing intelligence for the US. The IC relies on human-machine-based analytic strategies that 1) access and integrate vast amounts of information from disparate sources, 2) continuously process this information, so that, 3) a maximally comprehensive understanding of world actors (...) and their behaviors can be developed and updated. Herein we describe an approach to utilizing outcomes-based learning (OBL) to support these efforts that is based on an ontology of the cognitive processes performed by intelligence analysts. Of particular importance to the Cognitive Process Ontology is the class Representation that is Warranted. Such a representation is descriptive in nature and deserving of trust in its veridicality. The latter is because a Representation that is Warranted is always produced by a process that was vetted (or successfully designed) to reliably produce veridical representations. As such, Representations that are Warranted are what in other contexts we might refer to as ‘items of knowledge’. (shrink)

Implicit stochastic models, including both ‘deep neural networks’ (dNNs) and the more recent unsupervised foundational models, cannot be explained. That is, it cannot be determined how they work, because the interactions of the millions or billions of terms that are contained in their equations cannot be captured in the form of a causal model. Because users of stochastic AI systems would like to understand how they operate in order to be able to use them safely and reliably, there has emerged (...) a new field called ‘explainable AI’ (XAI). When we examine the XAI literature, however, it becomes apparent that its protagonists have redefined the term ‘explanation’ to mean something else, namely: ‘interpretation’. Interpretations are indeed sometimes possible, but we show that they give at best only a subjective understanding of how a model works. We propose an alternative to XAI, namely certified AI (CAI), and describe how an AI can be specified, realized, and tested in order to become certified. The resulting approach combines ontologies and formal logic with statistical learning to obtain reliable AI systems which can be safely used in technical applications. (shrink)

Thus, Meyers provides a valuable account, not only of current medical attitudes, but also of relevant case and statute law as it stands at present.

Based on a survey of editors, publishers and staff members of 300 newspapers, this work documents the ethical confusion in the American press in the wake of the Watergate scandal and the Pentagon Papers controversy. It provides an analytical and historical framework to show how the press reached this point and argues for an ethical audit to give publications an independent check on their moral condition.

Identitat ist unter den Bedingungen der Postmoderne kein festes Ganzes mehr. Die unuberschaubare Anzahl an Moglichkeiten in Ausbildung, Studium, Beruf, aber auch Partnerschaft und Lebensformen fuhren zu der Einsicht, dass Identitat sich immer neu konstituieren muss. Tatsachlich ist Identitat das, was mich als unverwechselbares Ich korperlich und geistig - und das heisst: leiblich - konstituiert. Zugleich entzieht sie sich mir und muss immer wieder neu errungen werden. Dies gilt gerade dann, wenn fruhere Ideale zusammenbrechen oder das zuvor Selbstverstandliche nicht mehr (...) tragt. Identitat und Identitatsbildung betreffen den Einzelnen ebenso wie politische oder religiose Gemeinschaften. In Zeiten, in denen vieles in Bewegung ist, ist Identitat eng verbunden mit der Frage nach den gemeinsamen Werten - das, wofur es sich zu leben lohnt und was wir an die nachste Generation weitergeben mochten. Besondere Beachtung verdienen in diesem Kontext phanomenologische Ansatze, die den leiblichen, sinnlichen und affektiven Dimensionen des Lebens Rechnung tragen. Auf diese Weise lassen sich Erfahrungen, die unsere Identitat begrunden und ausmachen, als Momente einer breiter angelegten Spiritualitat der Wahrnehmung verstehen. Mit Beitragen von Johannes Bundgens, Natalie Depraz, Stephan Gratzel, Caroline Horch, Antje Kapust, Rolf Kuhn, Elmar Nass, Simone Paganini, Michaela Puzicha, Bertin Rautenberg, Holger Zaborowski u. a. (shrink)

The view of nature we adopt in the natural attitude is determined by common sense, without which we could not survive. Classical physics is modelled on this common-sense view of nature, and uses mathematics to formalise our natural understanding of the causes and effects we observe in time and space when we select subsystems of nature for modelling. But in modern physics, we do not go beyond the realm of common sense by augmenting our knowledge of what is going on (...) in nature. Rather, we have measurements that we do not understand, so we know nothing about the ontology of what we measure. We help ourselves by using entities from mathematics, which we fully understand ontologically. But we have no ontology of the reality of modern physics; we have only what we can assert mathematically. In this paper, we describe the ontology of classical and modern physics against this background and show how it relates to the ontology of common sense and of mathematics. (shrink)

Barry Smith recently discussed the diagraphs of book eight of Jacob Lorhard’s Ogdoas scholastica under the heading “birth of ontology” (Smith, 2022; this issue). Here, I highlight the commonalities between the original usage of diagraphs in the tradition of Ramus for didactic purposes and the the usage of their present-day successors–modern ontologies–for computational purposes. The modern ideas of ontology and of the universal computer were born just two generations apart in the breakthrough century of instrumental reason.

Since the noun phrase `artificial intelligence' (AI) was coined, it has been debated whether humans are able to create intelligence using technology. We shed new light on this question from the point of view of themodynamics and mathematics. First, we define what it is to be an agent (device) that could be the bearer of AI. Then we show that the mainstream definitions of `intelligence' proposed by Hutter and others and still accepted by the AI community are too weak even (...) to capture what is involved when we ascribe intelligence to an insect. We then summarise the highly useful definition of basic (arthropod) intelligence proposed by Rodney Brooks, and we identify the properties that an AI agent would need to possess in order to be the bearer of intelligence by this definition. Finally, we show that, from the perspective of the disciplines needed to create such an agent, namely mathematics and physics, these properties are realisable by neither implicit nor explicit mathematical design nor by setting up an environment in which an AI could evolve spontaneously. (shrink)

The purpose of this paper is to formulate first-order Peano arithmetic within the resources of relevant logic, and to demonstrate certain properties of the system thus formulated. Striking among these properties are the facts that it is trivial that relevant arithmetic is absolutely consistent, but classical first-order Peano arithmetic is straightforwardly contained in relevant arithmetic. Under, I shall show in particular that 0 = 1 is a non-theorem of relevant arithmetic; this, of course, is exactly the formula whose unprovability was (...) sought in the Hilbert program for proving arithmetic consistent. Under, I shall exhibit the requisite translation, drawing some Goedelian conclusions therefrom. Left open, however, is the critical problem whether Ackermann’s rule γ is admissible for theories of relevant arithmetic. The particular system of relevant Peano arithmetic featured in this paper shall be called R♯. Its logical base shall be the system R of relevant implication, taken in its first-order form RQ. Among other Peano arithmetics we shall consider here in particular the systems C♯, J♯, and RM3♯; these are based respectively on the classical logic C, the intuitionistic logic J, and the Sobocinski-Dunn semi-relevant logic RM3. And another feature of the paper will be the presentation of a system of natural deduction for R♯, along lines valid for first-order relevant theories in general. This formulation of R♯ makes it possible to construct relevantly valid arithmetical deductions in an easy and natural way; it is based on, but is in some respects more convenient than, the natural deduction formulations for relevant logics developed by Anderson and Belnap in Entailment. (shrink)

Some defenders of so-called `artificial intelligence' believe that machines can understand language. In particular, Søgaard has argued in his "Understanding models understanding language" (2022) for a thesis of this sort. His idea is that (1) where there is semantics there is also understanding and (2) machines are not only capable of what he calls `inferential semantics', but even that they can (with the help of inputs from sensors) `learn' referential semantics. We show that he goes wrong because he pays insufficient (...) attention to the difference between language as used by humans and the sequences of inert symbols which arise when language is stored on hard drives or in books in libraries. (shrink)

Transcript of an Interview on the podcast: Irreverend: Faith and Current Affairs.

How is women’s conception of self affected by the caregiving responsibilities traditionally assigned to them and by the personal vulnerabilities imposed on them? If institutions of male dominance profoundly influence women’s lives and minds, how can women form judgments about their own best interests and overcome oppression? Can feminist politics survive in face of the diversity of women’s experience, which is shaped by race, class, ethnicity, and sexual orientation, as well as by gender? Exploring such questions, leading feminist thinkers have (...) reinvigorated work on the concept of self and personal identity, as demonstrated by the discussions in this insightful volume.The concerns that animate feminist scholarship have prompted feminist philosophers to sideline the theme of individualism and to focus on the theme of intersubjectivity. In conceptualizing the self, the contributors to this volume highlight emotional bonds among people, the stories people tell one another, and the systems of categories and behavioral norms that unite and divide groups of people. Topics addressed include sexual violence and the self, the social self and autonomy, the narrative self and integrity, self-ownership and the body, forgetting yourself and your race, group membership and personal identity, grief and gender, sympathy and women’s diversity, emotion and emancipatory epistemology, and dependency and justice. This volume will be important reading for students of feminist theory, ethics, and social and political philosophy. (shrink)

The inclusion of engineering standards in US science education standards is potentially important because of how limited engineering education for K-12 learners is, despite the ubiquity of engineering in students’ lives. However, the majority of learners experience science education throughout their compulsory schooling. If improved engineering literacy is to be achieved, then its inclusion in science curricula is perhaps the most efficient means. One significant challenge that arises, however, is in the framing of engineering relative to science by both teachers (...) and curriculum. Science and engineering are both distinct and interdependent. The nature of the contributions of science and engineering to one another has been an area of some examination in philosophy of technology and engineering, but little framing of this relationship has been conducted with K-12 science and engineering education contexts in mind. Nature of science is a critical layer of scientific understanding that has been used to explicitly support literacy in K-16 science classrooms for decades. However, engineering cannot be authentically and appropriately supported by NOS framing. There is an immediate need for discourse on the nature of engineering knowledge but not in isolation of NOS. Given the increasing inclusion of engineering in science classrooms, relationships between NOS and NOEK are in need of explication and argument. Our purpose is to promote a discussion about NOS, engineering, and the relationship between them without misrepresenting engineering as a subdomain of science or as an oversimplification of itself. (shrink)

Since the introduction of radio and television news, journalism has gone through multiple transformations, but each time it has been sustained by a commitment to basic values and best practices. Journalism Ethics is a reminder, a defense and an elucidation of core journalistic values, with particular emphasis on the interplay of theory, conceptual analysis and practice. The book begins with a sophisticated model for ethical decision-making, one that connects classical theories with the central purposes of journalism. Top scholars from philosophy, (...) journalism and communications offer essays on such topics as objectivity, privacy, confidentiality, conflict of interest, the history of journalism, online journalism, and the definition of a journalist. The result is a guide to ethically sound and socially justified journalism-in whatever form that practice emerges. Journalism Ethics will appeal to students and teachers of journalism ethics, as well as journalists and practical ethicists in general. (shrink)

This paper addresses a theory of intergenerational justice that we refer to as “needs-based sufficientarianism”. According to needs-based sufficientarianism, the present generation ought to enable future generations to meet their basic needs — for example, their needs for drinkable water, food and health care. Our aim is to explain and defend this theory in a programmatic way. First, we introduce what we regard as the most plausible variant of needs-based sufficientarianism. Then we argue that this variant is superior to several (...) alternative ways of thinking about intergenerational justice. In particular, we defend basic needs as the currency of intergenerational justice and sufficiency as its principle. Our arguments for these claims are neither fully comprehensive nor fully conclusive. Yet, we hope that they suffice to show that needs-based sufficientarianism is a major contender, with significant pro tanto advantages over other views. (shrink)

Meyers examines the question of personal autonomy. She observes the effects of childrearing practices and sexual biases, and reflects upon the results in women. Annotation copyrighted by Book News, Inc., Portland, OR.

Bereby‐Meyer, Hayakawa, Shalvi, Corey, Costa and Keysar investigate lying for self‐serving reasons. Participants in their experiments had to report the outcome of rolling a die only known to them. They inflated their outcomes less, and thus lied less, when using a foreign language than when using their native language. The authors suggest that lying for self‐serving reasons is an automatic tendency that can be overcome by speaking in a foreign language. [71].

Health Level 7 (HL7) is an international standards development organisation in the domain of healthcare information technology. Initially the mission of HL7 was to enable data exchange via the creation of syntactic standards which supported point-to-point messaging. Currently HL7 sees its mission as one of creating standards for semantic interoperability in healthcare IT on the basis of its flagship “version 3” (v3). Unfortunately, v3 has been plagued by quality and consistency issues, and it has not been able to keep pace (...) with recent developments either in semantics and ontology or in computer science and engineering. HL7’s response has been to develop its “Services-Aware Interoperability Framework” (SAIF), which is intended to provide a foundation for work on all aspects of standardization in HL7 henceforth. We here summarise the major design principles that must be satisfied by a semantic interoperability framework – principles relating both to static semantics and to computational behaviour. We then assess the SAIF in light of these principles. We conclude that the SAIF is not in a position to support the needed reform of the HL7 v3 family of standards. (shrink)

Adapting critical methods from such wide-ranging fields as anthropology, linguistics, philosophy, biology, and other sciences, Schapiro appraises fundamental semantic terms such as "organic style," "pictorial style", "field and vehicle," and "form and content"; he elucidates eclipsed intent in a well-known text by Freud on Leonardo da Vinci, in another by Heidegger on Vincent van Gogh.

Das in diesem Aufsatz vorgebrachte Argumentationsmuster hat folgende Schritte: 1. Der menschliche Geist ist vom Körper nicht trennbar, sie bilden ein Kontinuum. 2. Unser Bewusstsein und alle darauf aufbauenden geistigen Phänomene sind die Emanation eines materiellen Prozesses, den ein komplexes System verursacht. 3. Komplexe Systeme lassen sich mathematisch nicht modellieren und nicht kausal verstehen. 4. Computer sind Turing-Maschinen. Sie können nur mathematische Modelle berechnen. Es wird niemals Hyper-Turing Maschinen geben, und wenn es sie gäbe, könnten sie auch nur mathematische Modelle (...) berechnen. 5. Es ist nicht möglich, den Körper als Substrat des Geistes durch einen Computer zu ersetzen. Die digitale Unsterblichkeit ist demzufolge ein Ding der Unmöglichkeit. (shrink)

This book provides a systematic introduction to the debate on historical emissions and climate change, for students, researchers and policymakers.

The goal of creating Artificial General Intelligence (AGI) – or in other words of creating Turing machines (modern computers) that can behave in a way that mimics human intelligence – has occupied AI researchers ever since the idea of AI was first proposed. One common theme in these discussions is the thesis that the ability of a machine to conduct convincing dialogues with human beings can serve as at least a sufficient criterion of AGI. We argue that this very ability (...) should be accepted also as a necessary condition of AGI, and we provide a description of the nature of human dialogue in particular and of human language in general against this background. We then argue that it is for mathematical reasons impossible to program a machine in such a way that it could master human dialogue behaviour in its full generality. This is (1) because there are no traditional explicitly designed mathematical models that could be used as a starting point for creating such programs; and (2) because even the sorts of automated models generated by using machine learning, which have been used successfully in areas such as machine translation, cannot be extended to cope with human dialogue. If this is so, then we can conclude that a Turing machine also cannot possess AGI, because it fails to fulfil a necessary condition thereof. At the same time, however, we acknowledge the potential of Turing machines to master dialogue behaviour in highly restricted contexts, where what is called “narrow” AI can still be of considerable utility. (shrink)

Loveland and Meyer have studied necessary and sufficient conditions for an infinite binary string x to be recursive in terms of the programsize complexity relative to n of its n-bit prefixes xn. Meyer has shown that x is recursive iff ∃c, ∀n, K(xn/n) ≤ c, and Loveland has shown that this is false if one merely stipulates that K(xn/n) ≤ c for infinitely..

Spricht man über die Aufklärung, taucht man, wie meist in der Philosophie in eine Männerwelt, Frauen sind darin Randfiguren. In einer Zeit, als die Männer die Grundlagen der modernen Zivilisation legten, hat man Frauen eine Nebenrolle zugewiesen. Trotzdem haben Aufklärerinnen durch ihr Denken, ihr Werk und ihr Beispiel viele weitere Generationen beeinflusst. Der Titel Aufklärerinnen beschreibt Philosophinnen, Literatinnen und Wissenschaftlerinnen, die in dieser Umbruchphase etwas bewegen wollten. Mangelnder Frauenbildung, wirtschaftlicher Abhängigkeit und ehelicher Unterwerfung hatten sie den Kampf angesagt. Und das (...) in einer Zeit, die den Frauen mehr denn je ein bürgerliches Korsett aufgezwungen hat. When one speaks about the Enlightenment, one is immersed, as is usually the case in philosophy, in a man's world; women are marginal figures in it. At a time when men were laying the foundations of modern civilisation, women were assigned a supporting role. Nevertheless, women Enlightenment thinkers have influenced many more generations through their thinking, their work and their example. The title Women Enlighteners describes female philosophers, writers and scientists who wanted to make a difference during this period of upheaval. They declared war on the lack of female education, economic dependence and marital subjugation. And they did so in a time that imposed a bourgeois corset on women more than ever before. (shrink)

Theodor Geiger (1891-1952) zählt zu den vernachlässigten Klassikern der deutschen Soziologie. Realismus und Ideologiekritik bilden die Klammer für ein Opus, das von der Schichtungs-, Rechts- und Erziehungssoziologie über Fragen zur Eugenik bis hin zur Erkenntnis-, Modernitäts- und Demokratietheorie reicht. Die vorliegende Studie ist der Versuch, trotz der zahlreichen Wechselfälle in Geigers Leben eine Gesamtwürdigung seines umfangreichen und heterogenen Werkes vorzulegen. Berücksichtigt werden die zum Teil schwer zugänglichen Schriften aus dem skandinavischen Exil sowie einige bislang unveröffentlichte Arbeiten aus dem Nachlass. Dies (...) erlaubt es, wissenschaftsbiographisch aufschlussreiche Aspekte aus der Zeit der nationalsozialistischen Machtergreifung zu erhellen. Der Vergleich mit alten und neuen Klassikern macht deutlich, dass dem "Querdenker" Geiger innerhalb der frühen deutschen Soziologie eine Ausnahmerolle zukommt. So ist er zum einen Pionier einer kritischen Problem- und Wirklichkeitswissenschaft, der danach strebt, die Soziologie mit den Mitteln der empirischen Sozialforschung und der Sozialstatistik auf eine methodisch kontrollierte Grundlage zu stellen. Zugleich ist Geiger aber auch Machtkritiker, Wertnihilist und Modernist. Als Ausdruck dieser Grundposition lässt sich nicht nur die entschiedene Gegnerschaft zu Kulturkritik, Gemeinschaftsschwärmerei und der NS-Ideologie verstehen, sondern auch sein Beitrag zur Entwicklung einer "realistischen" Demokratiekonzeption. (shrink)

Jesus the Jew is the primary signifier of Christianity's indebtedness to Judaism. This connection is both historical and continuous. In this book, Barbara Meyer shows how Christian memory, as largely intertwined with Jewish memory, provides a framework to examine the theological dimensions of historical Jesus research. She explores the topics that are central to the Jewishness of Jesus, such as the Christian relationship to law, and otherness as a Christological category. Through the lenses of the otherness of the Jewish (...) Jesus for contemporary Christians, she also discusses circumcision, natality, vulnerability, and suffering in dialogue with thinkers seldom drawn into Jewish-Christian discourse, notably Hannah Arendt, Julia Kristeva, Martha Nussbaum and Adi Ophir. Meyer demonstrates how the memory of Jesus' Jewishness is a key to reconfiguring contemporary challenges to Christian thought, such as particularity and otherness, law and ethics after the Shoah, human responsibility, and divine vulnerability. (shrink)

The roots and evolution of two concepts usually thought to be Western in origin-musica mundana (the music of the spheres) and musica humana (music's relation to the human soul)-are explored. Beginning with a study of the early creeds of the Near East, Professor Meyer-Baer then traces their development in the works of Plato and the Gnostics, and in the art and literature of the Middle Ages and the Renaissance. Previous studies of symbolism in music have tended to focus on (...) a single aspect of the problem. In this book the concepts of musica humana and musica mundane are related to philosophy, aesthetics, and the history of religion and are given a rightful place in the history of civilization. Originally published in 1970. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These paperback editions preserve the original texts of these important books while presenting them in durable paperback editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905. (shrink)

Bayard's book appeared in 2007. Word of mouth about it probably reached me at the time, but it did not catch my attention until the day (in 2012, if I am not mistaken) that a young professor, on the verge of burnout, told me how reading it had functioned for him as a kind of therapy. Though a voracious reader, he found himself confronted by ever more recommendations for reading, some from reviewers whose suggestions were felt as obligations and sounded (...) almost like insults. The line between a reading recommendation and an insult is very thin (the interlocutor may feel infantilized). The young professor was particularly irritated by recurrent advice to read Derrida. Must I read De la grammatologie, he asked, because it is vaguely related to the topic I am working on? Why must I quote him? And if I have not read him, must I pretend that I have?In the academic quotation economy, we very often find ourselves lying to the public, pretending we have read authors whom we have not. For a decade, the title of Bayard's book worked for me as a motto I could repeat internally whenever faced with a reading recommendation, especially when it was broad and general (I have often been advised to read Marx or Lacan, for instance, with no further indication of passages that might interest me). Inversely, when I make a recommendation, I add a little comment on Bayard's book, though until recently I have specified that I have not read it myself. I have hoped my comment would reduce the risk of my recommendations being interpreted as obligations or insults.As is the case with many books, Bayard's became important to me well before I decided to read it (in 2022). An interlocutor, reacting to my recommendation of the book without having read it, told me that the book (he had read it) was more than an antidote for academic name-dropping. It was foremost, he added, an investigation into various modes of nonreading. Apart from pure ignorance (when one does not even know that it exists), one can be familiar with a book just by learning bibliographical details and information about its genre and tradition. One can know a book by hearsay (one can speak extensively about it on the basis of remarks that one has heard). One can consult the table of contents furtively or read some pages randomly.Each mode of nonreading enables us to talk differently about a book, and in each we fill the parts of which we are ignorant with peripheral knowledge and imagination. Therefore, nonreading—active nonreading at least—can be more demanding, Bayard argues, than reading itself. Still, what happens when we talk about books that we have not read happens also when we speak about books that we have read, since we never speak of a book as such without adding what we imagine the book to be. Based on this similarity of reading and nonreading, Bayard comes to a paradoxical conclusion typical of French thinkers: each reading, he contends, from the most inattentive to the most intense, is also a form of nonreading. He misses, however, that by the same argument the inverse proposition could also be defended: what he calls nonreading is already a form of reading.During the decade between beginning to think about Bayard's book and actually reading it, I constructed what he calls a “screen book” (livre-écran)—a work of my imagination. But the book I invented was enriched by my eventually reading it. I discovered that it delivered not simply a criticism of our quoting practices but also a celebration of some forms of active nonreading. In Bayard's enthusiasm, however, I believe that he goes too far when he concludes, with Oscar Wilde among others, that it is better not to read the books we review. Often, as was my case with How to Talk about Books You Haven't Read, they turn out to be more original than our fancy is capable of imagining. Hence I have set forth in this review a reason not mentioned by Bayard in favor of discussing books one has not read: doing so may function as a self-reminder. By dint of speaking about a book, one sometimes ends up reading it. (shrink)