In “Why We Need Friendly AI”, Luke Muehlhauser and Nick Bostrom propose that for our species to survive the impending rise of superintelligent AIs, we need to ensure that they would be human-friendly. This discussion note offers a more natural but bleaker outlook: that in the end, if these AIs do arise, they won’t be that friendly.

When asked about humanity’s future relationship with computers, Marvin Minsky famously replied “If we’re lucky, they might decide to keep us as pets”. A number of eminent authorities continue to argue that there is a real danger that “super-intelligent” machines will enslave—perhaps even destroy—humanity. One might think that it would swiftly follow that we should abandon the pursuit of AI. Instead, most of those who purport to be concerned about the existential threat posed by AI default to worrying about what (...) they call the “Friendly AI problem”. Roughly speaking this is the question of how we might ensure that the AI that will develop from the first AI that we create will remain sympathetic to humanity and continue to serve, or at least take account of, our interests. In this paper I draw on the “neo-republican” philosophy of Philip Pettit to argue that solving the Friendly AI problem would not change the fact that the advent of super-intelligent AI would be disastrous for humanity by virtue of rendering us the slaves of machines. A key insight of the republican tradition is that freedom requires equality of a certain sort, which is clearly lacking between pets and their owners. Benevolence is not enough. As long as AI has the power to interfere in humanity’s choices, and the capacity to do so without reference to our interests, then it will dominate us and thereby render us unfree. The pets of kind owners are still pets, which is not a status which humanity should embrace. If we really think that there is a risk that research on AI will lead to the emergence of a superintelligence, then we need to think again about the wisdom of researching AI at all. (shrink)

In this paper we discuss what we believe to be one of the most important features of near-future AIs, namely their capacity to behave in a friendly manner to humans. Our analysis of what it means for an AI to behave in a friendly manner does not presuppose that proper friendships between humans and AI systems could exist. That would require reciprocity, which is beyond the reach of near-future AI systems. Rather, we defend the claim that social AIs (...) should be programmed to behave in a manner that mimics a sufficient number of aspects of proper friendship. We call this “as-if friendship”. The main reason for why we believe that ‘as if friendship’ is an improvement on the current, highly submissive behavior displayed by AIs is the negative effects the latter can have on humans. We defend this view partly on virtue ethical grounds and we argue that the virtue-based approach to AI ethics outlined in this paper, which we call “virtue alignment”, is an improvement on the traditional “value alignment” approach. (shrink)

The past few decades have seen a substantial increase in the focus on the myriad ethical implications of artificial intelligence. Included amongst the numerous issues is the existential risk that some believe could arise from the development of artificial general intelligence (AGI) which is an as-of-yet hypothetical form of AI that is able to perform all the same intellectual feats as humans. This has led to extensive research into how humans can avoid losing control of an AI that is at (...) least as intelligent as the best of us. This ‘control problem’ has given rise to research into the development of ‘friendly AI’ which is a highly competent AGI that will benefit, or at the very least, not be hostile toward humans. Though my question is focused upon AI, ethics and issues surrounding the value of friendliness, I want to question the pursuit of human-friendly AI (hereafter FAI). In other words, we might ask whether worries regarding harm to humans are sufficient reason to develop FAI rather than impartially ethical AGI, or an AGI designed to take the interests of all moral patients—both human and non-human—into consideration. I argue that, given that we are capable of developing AGI, it ought to be developed with impartial, species-neutral values rather than those prioritizing friendliness to humans above all else. (shrink)

On virtue ethical grounds, Barbro Fröding and Martin Peterson recently recommended that near-future AIs should be developed as ‘Friendly AI’. AI in social interaction with humans should be programmed such that they mimic aspects of human friendship. While it is a reasonable goal to implement AI systems interacting with humans as Friendly AI, I identify four issues that need to be addressed concerning Friendly AI with Fröding’s and Peterson’s understanding of Friendly AI as a starting point. (...) In a first step, I briefly recapitulate Fröding’s and Peterson’s arguments for Friendly AI. I then highlight some issues with Fröding’s and Peterson’s approach and line of reasoning and identify four problems related to the notion of Friendly AI, which all pertain to the role and need for humans’ moral development. These are that one should consider the moral tendencies and preferences of the humans interacting with a friendly AI, it needs to be considered whether the humans interacting with a Friendly AI are still developing their virtues and character traits, the indirect effects of replacing humans with Friendly AI should be considered with respect to the possibilities for humans to develop their moral virtues and that the question whether the AI is perceived as some form of Artificial General Intelligence cannot be neglected. In conclusion, I argue that all of these four problems are related to humans moral development and that this observation strongly emphasizes the role and need for humans moral development in correlation to the accelerating development of AI-systems. (shrink)

Humans will not always be the most intelligent agents on Earth, the ones steering the future. What will happen to us when we no longer play that role, and how can we prepare for this transition?

There is a non-trivial chance that sometime in the (perhaps somewhat distant) future, someone will build an artificial general intelligence that will surpass human-level cognitive proficiency and go on to become "superintelligent", vastly outperforming humans. The advent of superintelligent AI has great potential, for good or ill. It is therefore imperative that we find a way to ensure-long before one arrives-that any superintelligence we build will consistently act in ways congenial to our interests. This is a very difficult challenge in (...) part because most of the final goals we could give an AI admit of so-called "perverse instantiations". I propose a novel solution to this puzzle: instruct the AI to love humanity. The proposal is compared with Yudkowsky's Coherent Extrapolated Volition, and Bostrom's Moral Modeling proposals. (shrink)

One response to the existential threat posed by a super-intelligent AI is to design it to be friendly to us. Some have argued that even if this were possible, the resulting AI would treat us as we do our pets. Sparrow (AI & Soc. https://doi.org/10.1007/s00146-023-01698-x, 2023) argues that this would be a bad outcome, for such an AI would dominate us—resulting in our freedom being diminished (Pettit in Just freedom: A moral compass for a complex world. WW Norton & (...) Company, 2014). In this paper, I consider whether this would be such a bad outcome. (shrink)

Over the last three decades, the rise of embodied cognition (EC) articulated in various schools (or versions) of embodied, embedded, extended and enacted cognition (Gallagher’s 4E) has offered AI a way out of traditional computationalism—an approach (or an understanding) loosely referred to as embodied AI. This view has split into various branches ranging from a weak form on the brink of functionalism (loosely represented by Clarks’ parity principle) to a strong form (often corresponding to autopoietic-friendly enactivism) suggesting that body−world (...) interactions constitute cognition. From an ontological perspective, however, constitution is a problematic notion with no obvious empirical or technical advantages. This paper discusses the ontological issues of these two approaches in regard to embodied AI and its ontological commitments: circularity, epiphenomenalism, mentalism, and disguised dualism. The paper also outlines an even more radical approach that may offer some ontological advantages. The new approach, called the mind-object identity, is then briefly compared with sensorimotor direct realism and with the embodied identity theory. (shrink)

The advent of ChatGPT by OpenAI has prompted extensive discourse on its potential implications for science and higher education. While the impact on education has been a primary focus, there is limited empirical research on the effects of large language models (LLMs) and LLM-based chatbots on science and scientific practice. To investigate this further, we conducted a Delphi study involving 72 researchers specializing in AI and digitization. The study focused on applications and limitations of LLMs, their effects on the science (...) system, ethical and legal considerations, and the required competencies for their effective use. Our findings highlight the transformative potential of LLMs in science, particularly in administrative, creative, and analytical tasks. However, risks related to bias, misinformation, and quality assurance need to be addressed through proactive regulation and science education. This research contributes to informed discussions on the impact of generative AI in science and helps identify areas for future action. (shrink)

The data science era is characterized by data-driven automated decision systems (ADS) enabling, through data analytics and machine learning, automated decisions in many contexts, deeply impacting our lives. As such, their downsides and potential risks are becoming more and more evident: technical solutions, alone, are not sufficient and an interdisciplinary approach is needed. Consequently, ADS should evolve into data-informed ADS, which take humans in the loop in all the data processing steps. Data-informed ADS should deal with data responsibly, guaranteeing nondiscrimination (...) with respect to protected groups of individuals. Nondiscrimination can be characterized in terms of different types of properties, like fairness and diversity. While fairness, i.e., absence of bias against minorities, has been widely investigated in machine learning, only more recently this issue has been tackled by considering all the steps of data processing pipelines at the basis of ADS, from data acquisition to analysis. Additionally, fairness is just one point of view of nondiscrimination to be considered for guaranteeing equity: other issues, like diversity, are raising interest from the scientific community due to their relevance in society. This paper aims at critically surveying how nondiscrimination has been investigated in the context of complex data science pipelines at the basis of data-informed ADS, by focusing on the specific data processing tasks for which nondiscrimination solutions have been proposed. (shrink)

In this paper I discuss the commentaries and the criticism that my friends and colleagues have made to the theory of social objects that I put forward in my book Documentalità. Perché è necessario lasciar tracce. In particular, I have articulated my responses along the following main lines: realism; truth (and falsity); ontology vs. epistemology and facts vs. interpretations; textualism and writing; politics; intentionality; consciousness.

In a friendly interdisciplinary debate, we interrogate from several vantage points the question of “personhood” in light of contemporary and near-future forms of social AI. David J. Gunkel approaches the matter from a philosophical and legal standpoint, while Jordan Wales offers reflections theological and psychological. Attending to metaphysical, moral, social, and legal understandings of personhood, we ask about the position of apparently personal artificial intelligences in our society and individual lives. Re-examining the “person” and questioning prominent construals of that (...) category, we hope to open new views upon urgent and much-discussed questions that, quite soon, may confront us in our daily lives. (shrink)

Online social networks captured the attention of the masses by offering attractive means of sharing personal information and developing social relationships. People expose personal information about their lives on OSNs. This may result in undesirable consequences of users’ personal information leakage to an unwanted audience and raises privacy concerns. The issue of privacy has received a significant attention in both the research literature and the mainstream media. In this paper, we present results of an empirical study that measure users’ attitude (...) towards interpersonal privacy concerns in OSNs. The results demonstrated a serious mismatch between privacy concerns of users and their information sharing behavior. In addition, it indicated that strangers are part of user social circles, this makes privacy protection more complicated, and introduce an insider threat, whereas all existing privacy tools allow users to manage the outsider threat. Information and friend segregation strategies are suggested on the basis of user information disclosure and interaction pattern. We conclude that sensitivity of information and frequency of interaction, both, play a vital role in information and friend segregation. (shrink)

Book synopsis: The most debated issue in aesthetics today Written by an international team of leading experts Addresses growing methodological concerns in the field Includes an extensive introduction which illuminates key issues Through much of the twentieth century, philosophical thinking about works of art, design, and other aesthetic products has emphasized intuitive and reflective methods, often tied to the idea that philosophy's business is primarily to analyze concepts. This 'philosophy from the armchair' approach contrasts with methods used by psychologists, sociologists, (...) evolutionary thinkers, and others who study the making and reception of the arts empirically. How far should philosophers be sensitive to the results of these studies? Is their own largely a priori method basically flawed? Are their views on aesthetic value, interpretation, imagination, and the emotions of art to be rethought in the light of best science? The essays in this volume seek answers to these questions, many through detailed studies of problems traditionally regarded as philosophical but where empirical inquiry seems to be shedding interesting light. No common view is looked for or found in this volume: a number of authors argue that the current enthusiasm for scientific approaches to aesthetics is based on a misunderstanding of the philosophical enterprise and sometimes on misinterpretation of the science; others suggest various ways that philosophy can and should accommodate and sometimes yield to the empirical approach. The editors provide a substantial introduction which sets the scene historically and conceptually before summarizing the claims and arguments of the essays. (shrink)

Human–robot interaction (HRI) is the study focused on the relationship between humans and robots. HRI as a study combines elements from different fields such as computer science, artificial intelligence (AI), robotics, psychology and sociology. With the advancement in the field of AI, HRI showed greater improvements and now, we have the first robot recognized as a citizen of a country: Sophia the robot. Sophia is a robot that has a humanoid form, first made her appearance in 2016 and, according to (...) her creators, is a mix of technology, arts and robotics. Since then, Sophia has made a lot of appearances in different TV shows, given interviews and participated in commercials. Sophia also has her own social media accounts. Our study focuses on Sophia’s presence on social media and the ways she communicates with people and the rhetorics she makes use of. Hence, it studies the advances on HRI and the issues encountered in the field of communication. For our research, we used purposive sampling and content analysis in cases needed in order to study Sophia’s communication patterns and behaviour. At this point, we will delve into the communication with the AI aspect of HRI. (shrink)

What does it mean for a proposition to be "true in a fiction"? According to the account offered by Kendall Walton in Mimesis as Make-Believe (1990), what is fictionally true, or simply fictional, is what a work of fiction invites or prescribes that we imagine. To say that it is fictional that Okonkwo kills Ikemefuna in Chinua Achebe's Things Fall Apart, for example, is to say that we are supposed to imagine that event. Yet Walton gives no account of the (...) kind of imagining relevant to understanding fictionality. In this paper I argue that the relevant kind of imagining is imagining a storyworld. I propose an account of this sort of imagining, as well as the nature of the invitations or prescriptions to imagine generated by fiction. I show that this account can be defended against various criticisms of Walton's original view, including his own argument in 2015 that prescriptions to imagine provide only necessary conditions for fictionality. (shrink)

The application of recycled aggregate as a sustainable material in construction projects is considered a promising approach to decrease the carbon footprint of concrete structures. Prediction of compressive strength of environmentally friendly concrete containing recycled aggregate is important for understanding sustainable structures’ concrete behaviour. In this research, the capability of the deep learning neural network approach is examined on the simulation of CS of EF concrete. The developed approach is compared to the well-known artificial intelligence approaches named multivariate adaptive (...) regression spline, extreme learning machines, and random forests. The dataset was divided into three scenarios 70%-30%, 80%-20%, and 90%-10% for training/testing to explore the impact of data division percentage on the capacity of the developed AI model. Extreme gradient boosting was integrated with the developed AI models to select the influencing variables on the CS prediction. Several statistical measures and graphical methods were generated to evaluate the efficiency of the presented models. In this regard, the results confirmed that the DLNN model attained the highest value of prediction performance with minimal root mean squared error. The study revealed that the highest prediction performance could be attained by increasing the number of variables in the prediction problem and using 90%-10% data division. The results demonstrated the robustness of the DLNN model over the other AI models in handling the complex behaviour of concrete. Due to the high accuracy of the DLNN model, the developed method can be used as a practical approach for future use of CS prediction of EF concrete. (shrink)

Due to G-7 countries' commitment to sustaining United Nations Sustainable Development Goal 8, which focuses on sustainable economic growth, there is a need to investigate the impact of tax revenue and institutional quality on economic growth, considering the role of artificial intelligence (AI) in the G-7 countries from 2012 to 2022. Cross-Sectional Augmented Autoregressive Distributed Lag (CS-ARDL) technique is used to analyze the data. The study's findings indicate a long-run equilibrium relationship among the variables under examination. The causality results can (...) be categorized as bidirectional, unidirectional, or indicating no causality. Based on the CS-ARDL results, the study recommends that G-7 governments and policymakers prioritize and strengthen the integration of AI into their institutions to stimulate growth in both the short- and long-term. However, the study cautions against overlooking the interaction between AI and tax revenue, as it did not demonstrate support for economic growth. While the interaction between AI and institutional quality shows potential for contributing to growth, it is crucial to implement robust measures to mitigate any potential negative effects that may arise from AI's interaction with tax systems. Therefore, the study suggests the development of AI-friendly tax policies within the G-7 countries, considering the nascent nature of the AI sector/industry. (shrink)

As we understand them, dispositions are relatively uncontroversial 'predicatory' properties had by objects disposed in certain ways. By contrast, powers are hypothetical 'ontic' properties posited in order to explain dispositional behaviour. Chapter 1 outlines this distinction in more detail. Chapter 2 offers a summary of the issues surrounding analysis of dispositions and various strategies in contemporary literature to address them, including one of our own. Chapter 3 describes some of the important questions facing the metaphysics of powers including why they're (...) worth positing, and how they might metaphysically explain laws of nature and modality. (shrink)

Most discussions of proper names in fiction concern the names of fictional characters, such as ‘Clarissa Dalloway’ or ‘Lilliput.’ Less attention has been paid to referring names in fiction, such as ‘Napoleon’ (in Tolstoy’s War and Peace) or ‘London’ (in Orwell’s Nineteen Eighty-Four). This is because many philosophers simply assume that such names are unproblematic; they refer in the usual way to their ordinary referents. The alternative position, dubbed Exceptionalism by Manuel García-Carpintero, maintains that referring names make a distinctive semantic (...) contribution in fiction. In this paper I offer a positive argument for Non-Exceptionalism, relying on the claim that works of both fiction and non-fiction can express the same singular propositions. I go on to defend my account against García-Carpintero’s objections. (shrink)

Analytic aesthetics has had little to say about academic schools of criticism, such as Freudian, Marxist, feminist, or postcolonial perspectives. Historicists typically view their interpretations as anachronistic; non-historicists assess all interpretations according to formalist criteria. Insofar as these strategies treat these interpretations as on a par, however, they are inadequate. For the theories that ground the interpretations differ in the claims they make about the world. I argue that the interpretations of different critical schools can be evaluated according to the (...) truth or epistemic merit of these claims. (shrink)

Many philosophers have drawn parallels between scientific models and fictions. In this paper I will be concerned with a recent version of the analogy, which compares models to the imagined characters of fictional literature. Though versions of the position differ, the shared idea is that modeling essentially involves imagining concrete systems analogously to the way that we imagine characters and events in response to works of fiction. Advocates of this view argue that imagining concrete systems plays an ineliminable role in (...) the practice of modeling that cannot be captured by other accounts. The approach thus leaves open what we should say about the ontological status of model-systems, and here advocates differ among themselves, defending a variety of realist or anti-realist positions. I argue that this debate over the ontological status of model-systems is misguided. If model-systems are the kinds of objects fictional realists posit, they can play no role in explaining the epistemology of modeling for an advocate of this approach. So they are at best superfluous. Defenders of the approach should focus on developing an account of the epistemological role of imagining model-systems. (shrink)

While aestheticians have devoted substantial attention to the possibility of acquiring knowledge from fiction, little of this attention has been directed at the acquisition of factual information. The neglect traces, I believe, to the assumption that the task of aesthetics is to explain the special cognitive value of fiction. While the value of many works of nonfiction may be measured, in part, by their ability to transmit information, most works of fiction do not have this aim, and so many conclude (...) that the transmission of information is irrelevant to their value. I am skeptical of these claims. I doubt that there is any value, cognitive or otherwise, special to all and only works of fiction. Thus I see no reason to neglect the capacity to convey factual information—specifically, propositional knowledge about real individuals and events—when assessing the value of particular works. In this paper I consider the value of learning about history from a particular work of fiction, Gore Vidal’s Lincoln: A Novel. Drawing on recent work in cognitive psychology, I argue that narrative devices used by Vidal can enhance our ability to learn and retain factual information, despite also increasing the possibility that we will form false beliefs, and that acquiring propositional knowledge from fiction, far from being a process we can take for granted, constitutes a difficult achievement. (shrink)

In some languages every statement must contain a specification of the type of evidence on which it is based: for example, whether the speaker saw it, or heard it, or inferred it from indirect evidence, or learnt it from someone else. This grammatical reference to information source is called 'evidentiality', and is one of the least described grammatical categories. Evidentiality systems differ in how complex they are: some distinguish just two terms (eyewitness and noneyewitness, or reported and everything else), while (...) others have six or even more terms. Evidentiality is a category in its own right, and not a subcategory of epistemic or some other modality, nor of tense-aspect. Every language has some way of referring to the source of information, but not every language has grammatical evidentiality. In English expressions such as I guess, they say, I hear that, the alleged are not obligatory and do not constitute a grammatical system. Similar expressions in other languages may provide historical sources for evidentials. True evidentials, by contrast, form a grammatical system. In the North Arawak language Tariana an expression such as "the dog bit the man" must be augmented by a grammatical suffix indicating whether the event was seen, or heard, or assumed, or reported. This book provides the first exhaustive cross-linguistic typological study of how languages deal with the marking of information source. Examples are drawn from over 500 languages from all over the world, several of them based on the author's original fieldwork. Professor Aikhenvald also considers the role evidentiality plays in human cognition, and the ways in which evidentiality influences human perception of the world.. This is an important book on an intriguing subject. It will interest anthropologists, cognitive psychologists and philosophers, as well as linguists. (shrink)

Many works of fiction include portraits in their storyworlds. Some of these portraits are themselves fictional, such as the portrait of Dorian Gray in Oscar Wilde's novel. Others are real, such as the Darnley portrait of Elizabeth I in A. S. Byatt's The Virgin in the Garden. When authors invent portraits, they expect us to visualise them. When they refer to real portraits, they exploit our familiarity with how they actually look. Like representations of other real entities in fiction, references (...) to real portraits function to ground the story in the real world. But portraits are more than material entities; they are also representational in their own right. In contrasting the ways real portraits are used in Josephine Tey's The Daughter of Time and Orhan Pamuk's My Name is Red, I argue that authors can be criticised when they mischaracterise the representational features of real portraits. (shrink)

Why do people comply with coronavirus disease 2019 public health guidance? This study considers cultural-psychological foundations of variation in beliefs about motivations for such compliance. Specifically, we focused on beliefs about two sources of prosocial motivation: desire to protect others and obligation to society. Across two studies, we observed that the relative emphasis on the desire to protect others as an explanation for compliance was greater in the United States settings associated with cultural ecologies of abstracted independence than in Chinese (...) settings associated with cultural ecologies of embedded interdependence. We observed these patterns for explanations of psychological experience of both others and self, and for compliance with mandates for both social distancing and face masks. Discussion of results considers both practical implications for motivating compliance with public health guidance and theoretical implications for denaturalizing prevailing accounts of prosocial motivation. (shrink)

I argue that judgments of what is ‘true in a fiction’ presuppose the Reality Assumption: the assumption that everything that is true is fictionally the case, unless excluded by the work. By contrast with the more familiar Reality Principle, the Reality Assumption is not a rule for inferring implied content from what is explicit. Instead, it provides an array of real-world truths that can be used in such inferences. I claim that the Reality Assumption is essential to our ability to (...) understand stories, drawing on a range of empirical evidence that demonstrates our reliance on it in narrative comprehension. However, the Reality Assumption has several unintuitive consequences, not least that what is fictionally the case includes countless facts that neither authors nor readers could ever consider. I argue that such consequences provide no reason to reject the Reality Assumption. I conclude that we should take fictions, like non-fictions, to be about the real world. (shrink)

Standard theories define fiction in terms of an invited response of imagining or make-believe. I argue that these theories are not only subject to numerous counterexamples, they also fail to explain why classification matters to our understanding and evaluation of works of fiction as well as non-fiction. I propose instead that we construe fiction and non-fiction as genres: categories whose membership is determined by a cluster of nonessential criteria, and which play a role in the appreciation of particular works. I (...) claim that this proposal captures the intuitions motivating alternative theories of fiction. (shrink)

A thematic priority of the European Union’s Framework V research and development programme was the creation of a user-friendly information society which met the needs of citizens and enterprises. In practice, though, for example in the case of on-line digital music, the needs of citizens and enterprises may be in conflict. This paper proposes to leverage the appearance of ‘intelligence’ in the platform layer of a layered communications architecture to avoid such conflicts in similar applications in the future. The (...) key idea is that if the intelligence is encapsulated in an agent, then the agents should be organized as a society, and then the rules of the society can be used to ensure ‘responsible’ behaviour. We discuss how an agent society can be used to regulate behaviour in future information trading scenarios, and conclude that this approach offers a ‘third way’ which can satisfy the (reasonable) needs of both citizens and enterprises in the user-friendly information society. (shrink)

In Film, Art and the Third Culture, Murray Smith articulates and defends a naturalized aesthetics of film that exemplifies a “third culture,” integrating the insights and methods of the natural sciences with those of the arts and humanities. By contrast with skeptics who reject the relevance of psychology or neuroscience to the study of film and art, I agree with Smith that we should embrace the third-cultural project. However, I argue that Smith does not go far enough in in developing (...) this project. In defending the contribution of the natural sciences to film aesthetics as traditionally conceived in the arts and humanities, Smith focuses on only one side of the equation, unduly limiting the potential contribution of the arts and humanities to the scientific study of film. Using the example of emotional responses to fiction film, I propose that we adopt a more genuinely integrative approach. (shrink)

If there are no fictional characters, how do we explain thought and discourse apparently about them? If there are, what are they like? A growing number of philosophers claim that fictional characters are abstract objects akin to novels or plots. They argue that postulating characters provides the most straightforward explanation of our literary practices as well as a uniform account of discourse and thought about fiction. Anti-realists counter that postulation is neither necessary nor straightforward, and that the invocation of pretense (...) provides a better account of the same phenomena. I outline and assess these competing theories. (shrink)

Statements about fictional characters, such as “Gregor Samsa has been changed into a beetle,” pose the problem of how we can say something true (or false) using empty names. I propose an original solution to this problem that construes such utterances as reports of the “prescriptions to imagine” generated by works of fiction. In particular, I argue that we should construe these utterances as specifying, not what we are supposed to imagine—the propositional object of the imagining—but how we are supposed (...) to imagine. Most other theories of thought and discourse about fictional characters either fail to capture the intentionality of our imaginings, or else obscure the differences between imaginings directed toward fictional characters and those directed toward real individuals. I argue that once we have an account of prescriptions to imagine about real individuals, we can adapt the same framework to specify the contents of prescriptions to imagine about fictional characters, and thereby to account for the truth (or falsity) of statements about fictional characters. (shrink)

Philosophers and psychologists have argued that fiction can ethically educate us: fiction supposedly can make us better people. This view has been contested. It is, however, rarely argued that fiction can morally “corrupt” us. In this article, we focus on the alleged power of fiction to decrease one's prejudices and biases. We argue that if fiction has the power to change prejudices and biases for the better, then it can also have the opposite effect. We further argue that fictions are (...) more likely to be a bad influence than a good one. (shrink)