In its forty years of existence, Artificial Intelligence has suffered both from the exaggerated claims of those who saw it as the definitive solution of an ancestral dream — that of constructing an intelligent machine-and from its detractors, who described it as the latest fad worthy of quacks. Yet AI is still alive, well and blossoming, and has left a legacy of tools and applications almost unequalled by any other field-probably because, as the heir of Renaissance thought, it represents a (...) possible bridge between the humanities and the natural sciences, philosophy and neurophysiology, psychology and integrated circuits-including systems that today are taken for granted, such as the computer interface with mouse pointer and windows. This writing describes a few results of AI that have modified the scientific world, as well as the way a layman sees computers: thetechnology of programming languages, such asLISP-witness the unique excellence of academic departments that have contributed to them-thecomputing workstations-of which our modern PC is but a vulgarised descendant-theapplications to the educational field-e.g., the realisation of some ideas of genetic epistemology-and tointerdisciplinary philosophy-such as Hofstadter's associations between the arts and mathematics-and the use ofAI techniques in music and musicology. All this has led to a generalisation of AI towards Negrotti's overallTheory of the Artificial, which encompasses further specialisation such asartificial reality, artificial life, and applications ofneural networks among others. (shrink)

Argumentation schemes can be described as abstract structures representing the most generic types of argument, constituting the building blocks of the ones used in everyday reasoning. This paper investigates the structure, classification, and uses of such schemes. Three goals are pursued: 1) to describe the schemes, showing how they evolved and how they have been classified in the traditional and the modern theories; 2) to propose a method for classifying them based on ancient and modern developments; and 3) to outline (...) and show how schemes can be used to describe and analyze or produce real arguments. To this purpose, we will build on the traditional distinctions for building a dichotomic classification of schemes, and we will advance a modular approach to argument analysis, in which different argumentation schemes are combined together in order to represent each step of reasoning on which a complex argument relies. Finally, we will show how schemes are applied to formal systems, focusing on their applications to Artificial Intelligence, AI & Law, argument mining, and formal ontologies. (shrink)

The most cursory examination of the history of artificial intelligence highlights numerous egregious claims of its researchers, especially in relation to a populist form of ‘strong’ computationalism which holds that any suitably programmed computer instantiates genuine conscious mental states purely in virtue of carrying out a specific series of computations. The argument presented herein is a simple development of that originally presented in Putnam’s (Representation & Reality, Bradford Books, Cambridge in 1988 ) monograph, “Representation & Reality”, which if correct, (...) has important implications for turing machine functionalism and the prospect of ‘conscious’ machines. In the paper, instead of seeking to develop Putnam’s claim that, “everything implements every finite state automata”, I will try to establish the weaker result that, “everything implements the specific machine Q on a particular input set ( x )”. Then, equating Q ( x ) to any putative AI program, I will show that conceding the ‘strong AI’ thesis for Q (crediting it with mental states and consciousness) opens the door to a vicious form of panpsychism whereby all open systems, (e.g. grass, rocks etc.), must instantiate conscious experience and hence that disembodied minds lurk everywhere. (shrink)

The most cursory examination of the history of artificial intelligence highlights numerous egregious claims of its researchers, especially in relation to a populist form of ‘strong’ computationalism which holds that any suitably programmed computer instantiates genuine conscious mental states purely in virtue of carrying out a specific series of computations. The argument presented herein is a simple development of that originally presented in Putnam’s monograph, “Representation & Reality”, which if correct, has important implications for turing machine functionalism and the (...) prospect of ‘conscious’ machines. In the paper, instead of seeking to develop Putnam’s claim that, “everything implements every finite state automata”, I will try to establish the weaker result that, “everything implements the specific machine Q on a particular input set ”. Then, equating Q to any putative AI program, I will show that conceding the ‘strong AI’ thesis for Q opens the door to a vicious form of panpsychism whereby all open systems,, must instantiate conscious experience and hence that disembodied minds lurk everywhere. (shrink)

Algorithms and automated learning systems have been successfully applied to produce images, pieces of music, or texts that are appealing to humans and that are often compared to artworks. Computational technologies are able to find surprising and original solutions–new patterns that humans cannot anticipate– but does this mean we ascribe to them the kind of creativity that is expressed by human artists? Even though AI can successfully detect humans’ preferences as well as select the objects that satisfy taste, (...) can we ascribe to them the capacity of recognizing the intrinsic value of artworks? To answer these questions, I am first going to explain the kind of creativity that is expressed by contemporary predictive systems, then, in the second part of this paper, I will try to show the difference between the creativity of algorithms and the creativity of artists by expanding on Deleuze’s reflections. (shrink)

In this paper, I present an overview of personal and intimate technologies within a pedagogical context. I describe two courses that I have developed for Computation Arts at Concordia University: “Tangible Media and Physical Computing” and “Second Skin and Soft Wear.” Each course deals with different aspects of physical computing and tangible media in a Fine Arts context. In both courses, I introduce concepts of soft computation and intimate reactive artifacts as artworks. I emphasize the concept of memory (contrasting computer (...) memory and personal, interpretive memory), and explore how responsive or interactive objects can create a new medium for annotating architectural space and objects, for leaving traces of presence, and for recording personal histories. At the core of this pedagogical practice is a strong emphasis on engaging a vulnerable, personal approach to working with electronics and physical computation. To contextualize the teaching practice, I begin by presenting some of my own research projects developed at Extra Soft Labs (also known as XS Labs), then segue into a detailed discussion of these two classes, and conclude with a discussion of some student work. (shrink)

This article attempts to demystify computer vision for novice programmers through a survey of new applications in the arts, system design considerations, and contemporary tools. It introduces the concept and gives a brief history of computer vision within interactive art from Myron Kruger to the present. Basic techniques of computer vision such as detecting motion and object tracking are discussed in addition to various software applications created for exploring the topic. As an example, the results of a one-week machine (...) vision workshop are presented to show how designers are able to apply their skills toward creating novel uses of these technologies. The article concludes with a listing of code for basic computer vision techniques. (shrink)

This paper outlines the development of a proof-of-concept workflow using machine learning and computer vision techniques to unlock the data within digitized handwritten US Census forms from the 1950s. The 1950s US Census includes over 6.5 million page images and was only recently made available to the public on April 1, 2022, following a 72-year access restriction period. Our project uses computational treatments to assist researchers in their efforts to recover and preserve the history of the erased Sacramento (...) Japantown. Sacramento once housed the fourth largest Japantown in the United States before experiencing WWII Japanese American Incarceration and the 1950s US Government program of urban renewal. The goal is to augment a researcher’s work in selecting a subset of Census pages for further transcription and analysis. We demonstrate a workflow for extracting demographic information using computer vision for image segmentation, and machine learning for handwritten character recognition. The workflow consists of a computational filtering process for Census records and a user interface for page review. These computational techniques are suitable for other cities, states, and communities, and demonstrate new strategies to unlock vital demographic information. The approach highlights the potential benefits of computational techniques for the analysis of form-based historical records of the twentieth century that can have an impact on social justice. (shrink)

In the past two decades digital technologies have fundamentally changed the way we think about, make and use popular music. From the production of multimillion selling pop records to the ubiquitous remix that has become a marker of Web 2.0, the emergence of new music production technologies have had a transformative effect upon 21st Century digital culture. Sonic Technologies examines these issues with a specific focus upon the impact of digitization upon creativity; that is, what musicians, cultural producers (...) and prosumers do. For many, music production has moved out of the professional recording studio and into the home. Using a broad range of examples ranging from experimental electronic music to more mainstream genres, the book examines how contemporary creative practice is shaped by the visual and sonic look and feel of recording technologies such as Digital Audio Workstations. (shrink)

Pendragon Press is proud to offer this new, revised, and expanded edition of Formalized Music, Iannis Xenakis's landmark book of 1971. In addition to three totally new chapters examining recent breakthroughs in music theory, two original computer programs illustrating the actual realization of newly proposed methods of composition, and an appendix of the very latest developments of stochastic synthesis as an invitation to future exploration, Xenakis offers a very critical self-examination of his theoretical propositions and artistic output of (...) the past thirty-five years. This edition of Formalized Music is an essential tool for understanding the man and the thought processes of one of this century's most important and revolutionary musical figures. (shrink)

Computational Reliabilism (CR) has emerged as a promising framework for assessing the trustworthiness of AI systems, particularly in domains where complete transparency is infeasible. However, the rise of sophisticated adversarial attacks poses a significant challenge to CR’s key reliability indicators. This paper critically examines the robustness of CR in the face of evolving adversarial threats, revealing the limitations of verification and validation methods, robustness analysis, implementation history, and expert knowledge when confronted with malicious actors. Our analysis suggests that (...) CR, in its current form, is inadequate to address the dynamic nature of adversarial attacks. We argue that while CR’s core principles remain valuable, the framework must be extended to incorporate adversarial resilience, adaptive reliability criteria, and context-specific reliability thresholds. By embracing these modifications, CR can evolve to provide a more comprehensive and resilient approach to assessing AI reliability in an increasingly adversarial landscape. (shrink)

This article analyzes current attitudes toward artificial intelligence (AI) and quantum computing and argues that they represent a modern‐day form of magical thinking. It proposes that AI and quantum computing are thus excellent examples of the ways that traditional distinctions between religion, science, and magic fail to account for the vibrancy and energy that surround modern technologies.

Douglas Wadle celebrates the juxtaposition of art and science while examining music's influence on humanity's understanding of our place in the universe. Tracing the millennia-old love affair between music and science, Wadle chronicles the surprising ubiquity of musical training among history's greatest thinkers. He shines a spotlight on the intertwining stories of pattern and form and how they complement one another in our search for creativity and insight. Einstein's Violin relies on extensive research to tell the story (...) of how music impacts the pattern recognition software in our brains, facilitating more creative problem solving. Without digression into technical treatise, it focuses on the historical stories that best display music's beautiful interaction with mind and universe"--Back cover. (shrink)

During the sixties, a most curious symbiosis took hold between Heinz von Foerster then the Director of a top-notch and lavishly funded US laboratory [Biological Computer Laboratory, 1958–1975] and the Chilean neuroscientist Humberto R. Maturana professor at the Universidad de Chile. The chance encounter between them triggered a long-lasting friendship and a fundamental change in our understanding of Systems Science. In particular the contributions of Biology of Cognition and Autopoiesis are important to understand this change and the years 1968–1973 are (...) particularly relevant. In this period, Maturana published, as a Technical Report of BCL, the foundational document The Neurophysiology of Cognition. Later, in 1973, the book De Maquinas y Seres Vivos put forward the notion of Autopoietic Systems. Also, between 1971 and 1973, the Allende government tried to cybernitize the Chilean economy with the SYNCO project. In that project, Maturana and von Foerster played a role by teaching Cybernetics to the engineers and administrators of this technological dream. During this same time, Cybernetics was important in Chile and Professors Maturana and von Foerster although not directly involved in the day-to-day running of SYNCO were important in that unique effort. When a military coup deposed Allende and sent Chile into a tailspin of right-wing retribution, von Foerster, a foreigner who loved Chile and its people, did his outmost to assure the safety of many people involved in this unique Latin American Cybernetics dream. (shrink)

Resumen: El presente trabajo explora el estatuto del arte en la filosofía de Spinoza, en el marco de la inversión copernicana que da origen a la estética y del barroco holandés. Si bien el pensamiento spinozista se inscribe en la conversión antropológica, en donde lo bello resulta ser un efecto en el sujeto y no una cualidad de los objetos, su comprensión del arte es inasimilable a la “estética” como ámbito diferenciado y autónomo que se consolida en el siglo XVIII, (...) y más bien concibe el arte integrado a la vida y a la experiencia común -a la vez que, en cuanto praxis de origen corporal al alcance de cualquiera, presenta puntos de contacto con las vanguardias históricas del siglo XX-. Spinoza, según se propone en este texto, concibe la producción de “obras de arte” menos como un hecho estético que como una actividad corporal éticamente orientada a la vida buena.: The present work explores the status of art in the philosophy of Spinoza, within the framework of the Copernican revolution that gives rise to aesthetics and the Dutch Baroque. Although the Spinozist thought is inscribed in the anthropological conversion by virtue of which beauty turns out to be an effect on the subject and not a property of objects, its understanding of art is unassimilable to "aesthetics" as a differentiated and autonomous area that it was consolidated in the eighteenth century, and rather conceived art integrated to life and common experience -at the same time, as praxis of bodily origin within the reach of anyone, presents points of contact with the historical avant-gardes of the twentieth century-. Spinoza conceives the production of "artworks" less as an aesthetic fact than as a body activity ethically oriented to the good life. (shrink)

In artificial-intelligence (AI) and computer-vision research, photographic images are typically referred to as natural images. This means that images used or produced in this context are conceptualized within a binary as either natural or synthetic. Recent advances in creative AI technology, particularly generative adversarial networks and diffusion models, have afforded the ability to create photographic-seeming images, that is, synthetic images that appear natural, based on learnings from vast databases of digital photographs. Contemporary discussions of these images have thus far revolved (...) around the political and social implications of producing convincing fake photographs. However, these images are of theoretical interest for the fields of art history and visual studies for additional reasons. AI-generated photographic images resonate with many of the classic themes in photography: nature and the real, the unconscious and the uncanny, and discourses of power. This article therefore seeks to answer the question: Can photorealistic AI-generated images be defined as photographs? I argue that AI-generated photographs do indeed belong within in the wider discourse of photography, given their form and interpretation. (shrink)

The hypergrowth and hyperconnectivity of networks of artificial intelligence (AI) systems and algorithms increasingly cause our interactions with the world, socially and environmentally, more technologically mediated. AI systems start interfering with our choices or making decisions on our behalf: what we see, what we buy, which contents or foods we consume, where we travel to, who we hire, etc. It is imperative to understand the dynamics of human-computer interaction in the age of progressively more competent AI. This essay presents five (...) premises to serve as starting points for building our understanding of the “interactions’ in human-computer interactions. (shrink)

El concepto de tópico musical fue acuñado por Leonard Ratner en la década de los 80’ en su libro Classic Music: Expression, Form, and Style. Esta primera aproximación sugirió un cambio notable que se observaría luego en la semiología de la música, en concreto, en el estudio de las prácticas musicales del clasicismo y romanticismo –un ejemplo claro de esto es el The Oxford Handbook of Topic Theory, editado por Danuta Mirka y publicado en 2014 por la editorial Oxford (...) University Press... (shrink)

Epistemic logic has grown from its philosophical beginnings to find diverse applications in computer science, and as a means of reasoning about the knowledge and belief of agents. This book provides a broad introduction to the subject, along with many exercises and their solutions. The authors begin by presenting the necessary apparatus from mathematics and logic, including Kripke semantics and the well-known modal logics K, T, S4 and S5. Then they turn to applications in the context of distributed systems and (...) artificial intelligence. These include the notions of common knowledge, distributed knowledge, explicit and implicit belief, the interplays between knowledge and time, and knowledge and action, as well as a graded (or numerical) variant of the epistemic operators. The authors also discuss extensively the problem of logical omniscience. They cover Halpern & Moses' theory of honest formulas, and they make a digression into the realm of nonmonotonic reasoning and preferential entailment. They discuss Moore's autoepistemic logic, together with Levesque's related logic of "all I know". Furthermore, they show how one can base default and counterfactual reasoning on epistemic logic. Graduate students in philosophy or in computer science, especially those with an interest in AI, will find this book useful. (shrink)

Techniques from artificial intelligence (AI) can be used in forensic evidence evaluation and are currently applied in biometric fields. However, it is generally not possible to fully understand how and why these algorithms reach their conclusions. Whether and how we should include such ‘black box’ algorithms in this crucial part of the criminal law system is an open question that has not only scientific but also ethical, legal, and philosophical angles. Ideally, the question should be debated by people with diverse (...) backgrounds. Here, we present a view on the question from the philosophy of science angle: computational reliabilism (CR). CR posits that we are justified in believing the output of an AI system, if we have grounds for believing its reliability. Under CR, these grounds are classified into ‘reliability indicators’ of three types: technical, scientific, and societal. This framework enables debates on the suitability of AI methods for forensic evidence evaluation that take a wider view than explainability and validation. We argue that we are justified in believing the AI’s output for forensic comparison of voices and forensic comparison of faces. Technical indicators include the validation of the AI algorithm in itself, validation of its application in the forensic setting, and case-based validation. Scientific indicators include the simple notion that we know faces and voices contain identifying information along with operationalizing well-established metrics and forensic practices. Societal indicators are the emerging scientific consensus on the use of these methods, as well as their application and interpretation by well-educated and certified practitioners. We expect expert witnesses to rely more on technical indicators to be justified in believing AIsystems, and triers-of-fact to rely more on societal indicators to believe the expert witness supported by the AIsystem. (shrink)

This paper presents folk impressions of the University of Manchester’s difficulties in becoming a great university, but by means of a fiction imitating a distinguished writer from the Indian subcontinent. The impressions concern past efforts and the difficulties they faced.

In a paper entitled “Computer Composition and Works of Music: Variation on a Theme of Ingarden” (1988), Peter Simons explores some ontological problems that ensue from the use of certain forms of composition software, where the final outcome (the score) is the product of random processes within the computer. Such a method of composition raises, among others, the following questions: What kind of work (if any) has been created? Is it a work of music in the first place? (...) Who is the composer/author? Is it the software programmer, the user, the one who selects a particular score for public performance, the computer? What is the relationship of distinct products of the same programme? Are they instances of the same work? In this paper, I shall re-examine these questions. (shrink)

Artificial intelligence (AI) is increasingly being developed for use in medicine, including for diagnosis and in treatment decision making. The use of AI in medical treatment raises many ethical issues that are yet to be explored in depth by bioethicists. In this paper, I focus specifically on the relationship between the ethical ideal of shared decision making and AI systems that generate treatment recommendations, using the example of IBM’s Watson for Oncology. I argue that use of this type of system (...) creates both important risks and significant opportunities for promoting shared decision making. If value judgements are fixed and covert in AI systems, then we risk a shift back to more paternalistic medical care. However, if designed and used in an ethically informed way, AI could offer a potentially powerful way of supporting shared decision making. It could be used to incorporate explicit value reflection, promoting patient autonomy. In the context of medical treatment, we need value-flexible AI that can both respond to the values and treatment goals of individual patients and support clinicians to engage in shared decision making. (shrink)

The outputs of generative artificial intelligence (generative AI) are often called “synthetic” to imply that they are not natural but artificial. Against that use of the term, this article focuses on a different denotation of synthesis, stressing the unifying and compositional aspects of anything synthetic. The case of large language models (LLMs) is used as an example to address synthesis philosophically alongside notions of representation in contemporary computational systems. It is argued that synthesis in generative AI should be understood (...) as a search for unity that is fundamental to the making of a representational reality. This representational reality, internal to computation, is a stable (if imperfect) whole, a togetherness of distributed representations. The article thus demonstrates that developing the philosophical concept of synthesis to investigate today’s generative AI involves examining how structuring occurs in LLMs and studying the kinds of forms that structuring results in. (shrink)

This is a proposal for the re-activation of the essentially stillborn automatic car project for which the cart was originally obtained, and presents a process through which this activation could be accomplished painlessly. The project would be financed from the lab's operating grant, and would interact strongly with, while being independent of, any Mars rover research initiated by Lynn Quam. Since I seem to be the only one, apart from John McCarthy, with an active interest in this aspect of things, (...) the following is written entirely from my point of view. (shrink)

Considers the question of the authorship of the works in the title from a /philosophical/, as opposed to legal, standpoint, using the sense-reference dichotomy, intension-extension dichotomy, and procedural knowledge-declarative knowledge dichotomy. Reaches no conclusion.

The Salivaomics Knowledge Base (SKB) is designed to serve as a computational infrastructure that can permit global exploration and utilization of data and information relevant to salivaomics. SKB is created by aligning (1) the saliva biomarker discovery and validation resources at UCLA with (2) the ontology resources developed by the OBO (Open Biomedical Ontologies) Foundry, including a new Saliva Ontology (SALO). We define the Saliva Ontology (SALO; http://www.skb.ucla.edu/SALO/) as a consensus-based controlled vocabulary of terms and relations dedicated to the (...) salivaomics domain and to saliva-related diagnostics following the principles of the OBO (Open Biomedical Ontologies) Foundry. The Saliva Ontology is an ongoing exploratory initiative. The ontology will be used to facilitate salivaomics data retrieval and integration across multiple fields of research together with data analysis and data mining. The ontology will be tested through its ability to serve the annotation ('tagging') of a representative corpus of salivaomics research literature that is to be incorporated into the SKB. Background Saliva (oral fluid) is an emerging biofluid for non-invasive diagnostics used in the detection of human diseases. The need to advance saliva research is strongly emphasized by the National Institute of Dental and Craniofacial Research (NIDCR), and is included in the NIDCR's 2004- 2009 expert panel long-term research agenda [1]. The ability to monitor health status, disease onset, progression, recurrence and treatment outcome through noninvasive means is highly important to advancing health care management. Saliva is a perfect medium to be explored for personalized individual medicine including diagnostics, offering a non-invasive, easy to obtain means for detecting and monitoring diseases. Saliva testing potentially allows the patient to collect their own saliva samples at home, yielding convenience for the patient and savings in health costs, and facilitating multiple sampling. Specimen collection is less objectionable to patients and easier in children and elderly individuals. Due to these advantages. (shrink)

Book Review: "Paul E. Ceruzzi. Computing: A Concise History." Isis, 104, No. 3 (September 2013), pp. 640-641.

How much should we know about the underlying structure of a technological artifact in order to understand its history? Quite a bit, according to the authors of The First Computers: History and Architectures. This book, a collection of papers presented at the International Conference on the History of Computing in 1998, is aimed at computer scientists and programmers as well as historians of science and technology. The term “architecture” is used in computing to refer to the structure (...) and capabilities of a computer; it includes both logical design and physical design . Architecture is an abstraction that helps the authors make comparisons between computers from different countries and eras.The First Computers brings together a wealth of information on computers from the 1940s and 1950s, which the editors present in five main sections. Part 1, “History, Reconstructions, Architectures,” addresses general themes in the history of computing. Michael Mahoney's chapter, “The Structures of Computation,” examines the relationship between computer science and “pure” mathematics. Even in its most theoretical aspects, Mahoney notes, computer science has always focused pragmatically on feasible implementations of mathematical ideas, thus “blurring commonly made distinctions among science, engineering, and craft practice” . Robert W. Seidel examines the rationale for reconstructing historic computers, an activity that has engaged many of the book's contributors. Seidel notes that “as the artifacts of modern computing become invisible, older, larger computers supply a symbol of computing to practitioners, the public, and patrons which is not only visible, but comprehensible” .The four remaining parts cover computing developments in America, Germany, Britain, and Japan. The American computers include the Atanasoff‐Berry Computer, Aiken Mark I, ENIAC, and the Institute for Advanced Study computer. The section on Germany contains several chapters on Konrad Zuse as well as on such developments as the Göttingen machines, which may not be that well known. Britain is represented by the Colossus, Manchester Mark I, Atlas, and EDSAC. Perhaps least familiar to historians are the Japanese computers: Seiichi Okoma surveys nine early Japanese computers, and Eiiti Wada describes the PC‐1, which he helped build. Many of the chapters, especially those written by engineers, begin with a brief history of the machine followed by a detailed technical description of its design and operation. The contributions by historians tend to describe the computer's features in more general terms and discuss the intellectual, organizational, and economic context in which the machine was built.Because so many of the authors are technically trained, they are able to offer in‐depth information on the theoretical underpinnings and design of early computers. But often the discussion is difficult to follow, even for historians working in this area. Tony Sales's chapter on the Colossus, a British code‐breaking computer, exemplifies the strengths and weaknesses of accounts written by technical specialists. Sales begins with a clear and engaging narrative of the origins of the Colossus, its method for decoding messages, and its significance to the Allied effort in the Second World War. He then veers into a highly technical discussion that will likely be opaque to readers unfamiliar with terms such as “thyratron rings.” The final section is a personal story of Sales's successful effort to have the machine rebuilt. Like the book as a whole, Sales's chapter can be read for a quick introduction to a milestone in the history of computing or for insight into the meanings embedded in technological artifacts—but readers should be prepared to decipher some formidable technical jargon along the way. (shrink)

Can scientific evidence outstretch what scientists have mentally entertained, or could ever entertain? This article focuses on the plausibility and consequences of an affirmative answer in a special case. Specifically, it discusses how we may treat automated scientific data-gathering systems—especially AI systems used to make predictions or to generate novel theories—from the point of view of confirmation theory. It uses AlphaFold2 as a case study.

The scientific relationship between neuroscience and artificial intelligence is generally acknowledged, and the role that their long history of collaboration has played in advancing both fields is often emphasized. Beyond the important scientific insights provided by their collaborative development, both neuroscience and AI raise a number of ethical issues that are generally explored by neuroethics and AI ethics. Neuroethics and AI ethics have been gaining prominence in the last few decades, and they are typically carried out by different research (...) communities. However, considering the evolving landscape of AI-assisted neurotechnologies and the various conceptual and practical intersections between AI and neuroscience—such as the increasing application of AI in neuroscientific research, the healthcare of neurological and mental diseases, and the use of neuroscientific knowledge as inspiration for AI—some scholars are now calling for a collaborative relationship between these two domains. This article seeks to explore how a collaborative relationship between neuroethics and AI ethics can stimulate theoretical and, ideally, governance efforts. First, we offer some reasons for calling for the collaboration of the ethical reflection on neuroscientific innovations and AI. Next, we explore some dimensions that we think could be enhanced by the cross-fertilization between these two subfields of ethics. We believe that considering the pace and increasing fusion of neuroscience and AI in the development of innovations, broad and underspecified calls for responsibility that do not consider insights from different ethics subfields will only be partially successful in promoting meaningful changes in both research and applications. (shrink)

Emotions are an integral part of human cognition and they guide not only our understanding of the world but also our actions within it. As such, whether we soothe or flame an emotion is not inconsequential. Recent work in conversational AI has focused on responding empathetically to users, validating and soothing their emotions without a real basis. This AI-aided emotional regulation can have negative consequences for users and society, tending towards a one-noted happiness defined as only the absence of "negative" (...) emotions. We argue that we must carefully consider whether and how to respond to users' emotions. (shrink)

In this article, M. Beatrice Fazi takes up Media Theory’s invitation to engage with Alan Díaz Alva’s analysis of her philosophical work on contingency in computation. The central argument of Fazi’s Contingent Computation: Abstraction, Experience, and Indeterminacy in Computational Aesthetics is that computation can be productive of ontological novelty. This piece revisits that argument in the light of the technological developments that have occurred since 2018, when the book was published. Focusing on generative artificial intelligence (generative AI), the article (...) considers how the concepts of generativity, aesthetics and contingency are tackled in the book and in present-day debates about generative AI systems. (shrink)

This collection of quotes demonstrates the elegant simplicity of Ai Weiwei's thoughts on key aspects of his art, politics, and life. A master at communicating powerful ideas in astonishingly few words, Ai Weiwei is known for his innovative use of social media to disseminate his views. The book is organized into six categories: freedom of expression; art and activism; government, power, and moral choices; the digital world; history, the historical moment, and the future; and personal reflections. Together, these quotes (...) span some of the most revealing moments of Ai Weiwei's eventful career-from his risky investigation into student deaths in the 2008 Sichuan earthquake to his arbitrary arrest in 2011-providing a window into the mind of one of the world's most electrifying and courageous contemporary artists. Ai Weiwei is one of China's most influential and inspiring figures. Artist, architect, curator, and activist, he has been an outspoken critic of the Chinese government's stance on human rights and democracy. (shrink)

Dans les débats classiques des xvie et xviie siècles, la représentation est considérée avant tout comme une question rhétorique et psychologique, mais à la fin du xviie siècle, elle devient une question épistémologique. Cet ouvrage explore le contexte de cette transformation et ses sources.

In this article the central philosophical issues concerning human-level artificial intelligence (AI) are presented. AI largely changed direction in the 1980s and 1990s, concentrating on building domain-specific systems and on sub-goals such as self-organization, self-repair, and reliability. Computer scientists aimed to construct intelligence amplifiers for human beings, rather than imitation humans. Turing based his test on a computer-imitates-human game, describing three versions of this game in 1948, 1950, and 1952. The famous version appears in a 1950 article in Mind, ‘Computing (...) Machinery and Intelligence’ (Turing 1950). The interpretation of Turing's test is that it provides an operational definition of intelligence (or thinking) in machines, in terms of behavior. ‘Intelligent Machinery’ sets out the thesis that whether an entity is intelligent is determined in part by our responses to the entity's behavior. Wittgenstein frequently employed the idea of a human being acting like a reliable machine. A ‘living reading-machine’ is a human being or other creature that is given written signs, for example Chinese characters, arithmetical symbols, logical symbols, or musical notation, and who produces text spoken aloud, solutions to arithmetical problems, and proofs of logical theorems. Wittgenstein mentions that an entity that manipulates symbols genuinely reads only if he or she has a particular history, involving learning and training, and participates in a social environment that includes normative constraints and further uses of the symbols. (shrink)

Influenced by methodological trends in contemporary cultural history, recent writings in music history now share a common and very basic concern: to reconcile the desire to treat musical works as purely musical entities with value and significance of their own with the desire to account for the fact that such works are conditioned by the historical, social, and psychological contexts in which they are produced. This essay places these modern reconciliations within a broader discussion of the uneasy (...) relations that hold between the domains of the musical and the extra-musical. It shows how both the logic and the history of this relationship has reflected the need to establish borders of the musical domain, and, following upon that, criteria of relevance for determining what is and what is not to be included in the writing of music history. (shrink)

The use of computers and the role of women in radio astronomy and X-ray crystallography research at the Cavendish Laboratory between 1949 and 1975 have been investigated. We recorded examples of when computers were used, what they were used for and who used them from hundreds of papers published during these years. The use of the EDSAC, EDSAC 2 and TITAN computers was found to increase considerably over this time-scale and they were used for a diverse range of applications. The (...) majority of references to computer operators and programmers referred to women, 57% for astronomy and 62% for crystallography, in contrast to a very small proportion, 4% and 13% respectively, of female authors of papers. (shrink)

The purpose is to improve the teaching and learning efficiency of college Innovation and Entrepreneurship Education. Firstly, from the perspective of aesthetic education, this work designs the teacher and student sides of the Computer-aided Instruction system. Secondly, the CAI model is implemented based on the weight sharing and local perception of the Convolutional Neural Network. Finally, the performance of the CNN-based CAI model is tested. Meanwhile, it analyses students’ IEE experience under the proposed CAI model through a case study of (...) Music Majors from Xi’an Conservatory of Music. The experimental data show that the CNN-based CAI model can respond quickly and stably when users access different functional modules, such as webpage browsing. The proposed CAI model increases students’ entrepreneurial interest, skills, and knowledge by 55.62, 57.32, and 72.12%, respectively. Students’ entrepreneurial practice ability has been improved by over 50.00%; such an increase in entrepreneurial practice ability has also shown individual differences. Thus, the proposed Music Majors-oriented IEE-infiltrated CAI model based on CNN improves students’ entrepreneurial practice ability and reflects the positive experience of Music Majors on IEE. The finding provides references for the step-by-step identification of the CNN-based CAI model and has certain guiding significance for analyzing the effect of college IEE. (shrink)

This clear and accessible textbook and its associated website offer a state of the art introduction to the burgeoning field of computer ethics and professional responsibility. Includes discussion of hot topics such as the history of computing; the social context of computing; methods of ethical analysis; professional responsibility and codes of ethics; computer security, risks and liabilities; computer crime, viruses and hacking; data protection and privacy; intellectual property and the “open source” movement; global ethics and the internet Introduces key (...) issues and concepts at the start of each section, and features classroom-tested study questions, and lists of useful websites and further reading Provides a wealth of relevant case studies, and an easy-to learn case-analysis technique Is accompanied by a website, offering sample student answers, additional study questions, example case analyses, and discussion forums. (shrink)