Philosophy of Cognitive Science

In this chapter, we examine the naturalist approach in the philosophy of memory through the lens of the simulation theory of memory. On the theory, episodic memory is a kind of constructive simulation performed by a functionally specialized neurocognitive system. Taking naturalism to be a kind of methodological stance characterized by a cluster of epistemic guidelines, we illustrate the roles these guidelines have played in the development of the theory. We show how scientific evidence has guided both the selection of (...) the research question and the initial elaboration of the theory. We demonstrate how such evidence has led the simulationist to reject a familiar, commonsense picture of memory. We also trace the recent radicalization of the theory, highlighting the simulationist's continual reflection on their concepts and assumptions. In the spirit of such reflection, we end by outlining some outstanding challenges for the theory. (shrink)

This paper argues that proper functions are proximal functions. In other words, it rejects the notion that there are distal biological functions – strictly speaking, distal functions are not functions at all, but simply beneficial effects normally associated with a trait performing its function. Once we rule out distal functions, two further positions become available: dysfunctions are simply failures of proper function, and pathological conditions are dysfunctions. Although elegant and seemingly intuitive, this simple view has had surprisingly little uptake in (...) the literature. Indeed, our position departs from that of almost every theorist who has engaged with the issue at any depth. We start by presenting three arguments for the position that proper functions are proximal: one from the specificity of functions, one from their relation to intervention, and one from their relation to pathology. We then consider two case studies evidencing the trouble that accepting distal functions causes for philosophical reflection on the nature of pathological conditions. Finally, we anticipate and respond to three objections: that there can be failure of function without dysfunction; that our account is unacceptably revisionary in respect of normal function-talk; and that our thesis over-generalises from a narrow set of cases. (shrink)

Sustained attention, a key cognitive skill that improves during childhood and adolescence, tends to be worse in some emotional and behavioural disorders. Sustained attention is typically studied in non-affective task contexts; here, we used a novel task to index performance in affective versus neutral contexts across adolescence (N = 465; ages 11–18). We asked whether: (i) performance would be worse in negative versus neutral task contexts; (ii) performance would improve with age; (iii) affective interference would be greater in younger adolescents; (...) (iv) adolescents at risk for depression and higher in anxiety would show overall worse performance; and (v) would show differential performance in negative contexts. Results indicated that participants performed more poorly in negative contexts and showed age-related performance improvements. Those at risk of depression performed more poorly than those at lower risk. However, there was no difference between groups as a result of affective context. For anxiety there was no difference in performance as a function of severity. However, those with higher anxiety showed less variance in their reaction times to negative stimuli than those with lower anxiety. One interpretation is that moderate levels of emotional arousal associated with anxiety make individuals less susceptible to the distracting effects of negative stimuli. (shrink)

The concept of mind is widely used in today’s debates on the lives, behavior, and cognition of prehistoric hominins. It is therefore presumably an important concept. Yet it is very rarely defined, and in most cognitive-archaeological literature, it does not seem to point to anything distinctive. In recent years, talk of minds has also been criticized as being internalistic and dualistic, in supposed contrast to new materialistic and externalistic approaches. In this paper, I aim to defend a different concept of (...) mind which can be used in theorizing about prehistoric hominin cognition. In short, my concept is simply that of the first-person viewpoint, understood in a naturalized manner, and as characterized by intentionality. The discussion proceeds by examining what I perceive to be three prevailing misconceptions about minds, which I derive mainly from the archaeological literature. I use this discussion to outline my own concept of mind, as well as to defend it against the frequently heard criticisms of dualism and internalism. In the final parts, I briefly discuss some potential practical applications of an intentional approach to past minds. Here I focus on certain conceptual problems in debates on symbolic cognition. (shrink)

The progressive dissemination of artificial intelligence (AI) systems in work settings raises numerous questions and concerns regarding their consequences, whether positive or negative, on work activities and organizations. This paper presents an empirical study that was designed to identify and analyze these consequences in radiology. This study focuses on two AI systems: a voice recognition dictation system for radiological reports and a system for detecting fractures on X-rays images. Based on a qualitative analysis of field observations of work activities and (...) interviews with radiologists, emergency physicians, and medical secretaries, our findings help to provide a nuanced view on how AI may affect work in this sector. In contrast to the speculative discourse where AI is seen as a “positive” technology or as “threat” for workers, this study shows, on the one hand, how these kinds of AI systems help or may help these workers in their activities, and, on the other hand, how these systems raise problematic issues regarding their consequences not only for physicians but also for other workers such as medical assistants. (shrink)

Neurotechnological cognitive enhancement has become an area of intense scientific, policy, and ethical interest. However, while work has increasingly focused on ethical views of the general public, less studied are those with personal connections to cognitive impairment. Using a mixed-methods design, we surveyed attitudes regarding implantable neurotechnological cognitive enhancement in individuals who self-identified as having increased likelihood of developing dementia (n = 25; ‘Our Study’), compared to a nationally representative sample of Americans (n = 4726; ‘Pew Study’). Participants in Our (...) Study were additionally shown four videos showcasing hypothetical neurotechnological devices designed to enhance different cognitive abilities and were interviewed for more in-depth responses. Both groups expressed comparable degrees of worry and acknowledgement of potential ethical ramifications (all _ps_ > _0.05_). Compared to the Pew Study, participants in Our Study expressed slightly higher desire (_p_. (shrink)

This paper presents an argument for the realism about mechanisms, contents, and vehicles of mental representation at both the personal and subpersonal levels, and showcases its role in instrumental rationality and proper cognitive functioning. By demonstrating how misrepresentation is necessary for learning from mistakes and explaining certain failures of action, we argue that fallible rational agents must have mental representations with causally relevant vehicles of content. Our argument contributes to ongoing discussions in philosophy of mind and cognitive science by challenging (...) anti-realist views about the nature of mental representation, and by highlighting the importance of understanding how different agents can misrepresent in pursuit of their goals. While there are potential rebuttals to our claim, our opponents must explain how agents can be rational without having mental representations. This is because mental representation is grounded in rationality. (shrink)

This chapter consists of two main sections; the first comprises the epistemological analysis regarding the source of knowledge used in clinics, knowledge representation and management, inference capacity and decision-making, and the second section discusses the ethical problems caused by the epistemological differences between CDSS-integrated clinics, and conventional clinics, and normative concepts such as moral responsibility, attribution of responsibility and distribution of responsibility are briefly examined. It has been argued that to understand and evaluate the ethical problems that arise in CDSS-integrated (...) clinics, it is necessary to understand and clearly reveal the epistemological features and differences between the two types of clinical services. (shrink)

Yapay zekâ, 1950’lerden itibaren gelişen bir disiplin olmasına rağmen özellikle son yıllarda daha çok gündemimizde yer almaya başlamıştır. Bugün akıllı asistanlar, yüz tanıma sistemleri, çeviri programları, bilgisayar oyunları, robotik sistemler gibi teknolojilerle yapay zekâ, günlük hayatlarımıza dâhil olmuş durumdadır. Bu teknolojiler yaşamlarımızı, yaşamı algılayış biçimlerimizi ve dolayısıyla bizleri radikal bir şekilde dönüştürmektedir. Bu baş döndürücü dönüşüm ise dikkatli bir incelemeyi gerektirmektedir. Ne var ki yapay zekâ teknolojilerinin geleceğine yönelik ahlaki çıkarımlarda bulunmanın, spekülasyona oldukça açık bir alan olduğu için bizi hataya (...) sürükleyebileceğini dürüstçe kabul etmemiz gerekir. Ancak, geçmişteki gibi felaketlerin yaşanmaması için ahlaki bir farkındalık içinde olmamız da elzem görünmektedir. Kaldı ki günümüzde var olan yapay zekâ sistemleri de ahlaki sorunlardan azade değildir. Örneğin, yapay zekâ sistemleri ile dijital verilerimiz kullanılarak kararlarımızı etkileyebilecek manipülasyonlara her an maruz kalabilmekteyiz. Çin gibi ülkelerde yüz tanıma teknolojilerinin sosyal kontrol ve insanları ‘damgalama’ amaçlı kullanıldığı bilinmektedir. Veya sürücüsüz (otonom) araçlar konusunda yaşamı tehdit edebilecek etik ikilemlere henüz net bir cevap bulunabilmiş değildir. -/- Bütün bu sorunlardan hareketle, Türkçe literatürde yapay zekâ etiği ile ilgili münferit çalışmalar mevcut olsa da, yapay zekânın etiğine disiplinlerarası bir bakışla, farklı perspektiflerden yaklaşan ve bir bütün olarak ele alan pek az eserin olması bizi bu konuda bir çalışma yapmaya yönlendirmiştir. Elinizdeki kitap ile siz değerli okuyucularımıza bizleri ve yaşamlarımızı dönüştürmekte olan yapay zekâ teknolojilerinin etik boyutu hakkında birlikte düşünmeyi ve geleceğin tasarlanmasında söz sahibi olabilmek için de bu konudaki tartışmalarda aktif bir şekilde yer almayı teklif ediyoruz. (shrink)

Sertraline is one of the most commonly prescribed antidepressants. Major depressive disorder (MDD) is characterized by spontaneous thoughts that are laden with negative affect-a "malignant sadness". Prior neuroimaging studies have identified abnormal resting-state functional connectivity (rsFC) in the spontaneous brain networks of MDD patients. But how antidepressant medication acts to relieve the experience of depression as well as adjust its associated spontaneous networks and mood-regulation circuits remains an open question. In this study, we recruited 22 drug-naïve MDD patients along with (...) 35 normal controls and investigated whether the functional integrity of cortical networks associated with spontaneous thoughts is modulated by sertraline treatment. We attempted to predict post-treatment effects based upon what we observed in the pre-treatment rsFC of drug-naïve MDD patients. In the result, we demonstrated that (1) after the sertraline treatment, the medial temporal lobe of default network (DNMTL) and mood regulation pathway-the fronto-parietal control network (FPCN), the thalamus, and the salience network (SN)-were restored to normal connectivity, relative to the pre-treatment condition; however, the altered connections of FPCN-core DN (DNCORE), FPCN-SN, and intra-FPCN among MDD patients remained impaired; (2) thalamo-prefrontal connectivity provides moderate predictive power (r2 = 0.63) for the effectiveness of sertraline treatment. In summary, our findings contribute to a body of evidence that suggests salubrious effects of sertraline treatment primarily involve the FPCN-thalamus-SN pathway. The pre-treatment rsFC in this pathway could serve as a predictor of sertraline treatment outcome. (shrink)

Nonrapid eye movement (NREM) sleep is associated with fading consciousness in humans. Recent neuroimaging studies have demonstrated the spatiotemporal alterations of the brain functional connectivity (FC) in NREM sleep, suggesting the changes of information integration in the sleeping brain. However, the common stationarity assumption in FC does not satisfactorily explain the dynamic process of information integration during sleep. The dynamic FC (dFC) across brain networks is speculated to better reflect the time-varying information propagation during sleep. Accordingly, we conducted simultaneous EEG-fMRI (...) recordings involving 12 healthy men during sleep and observed dFC across sleep stages using the sliding-window approach. We divided dFC into two aspects: mean dFC (dFCmean) and variance dFC (dFCvar). A high dFCmean indicates stable brain network integrity, whereas a high dFCvar indicates instability of information transfer within and between functional networks. For the network-based dFC, the dFCvar were negatively correlated with the dFCmean across the waking and three NREM sleep stages. As sleep deepened, the dFCmean decreased (N0~N1 > N2 > N3), whereas the dFCvar peaked during the N2 stage (N0~N1 < N3 < N2). The highest dFCvar during the N2 stage indicated the unstable synchronizations across the entire brain. In the N3 stage, the overall disrupted network integration was observed through the lowest dFCmean and elevated dFCvar, compared with N0 and N1. Conclusively, when the network specificity (dFCmean) breaks down, the consciousness dissipates with increasing variability of information exchange (dFCvar). (shrink)

Regulation is nothing without enforcement. This particularly holds for the dynamic field of emerging technologies. Hence, this article has two ambitions. First, it explains how the EU´s new Artificial Intelligence Act (AIA) will be implemented and enforced by various institutional bodies, thus clarifying the governance framework of the AIA. Second, it proposes a normative model of governance, providing recommendations to ensure uniform and coordinated execution of the AIA and the fulfilment of the legislation. Taken together, the article explores how the (...) AIA may be implemented by national and EU institutional bodies, encompassing longstanding bodies, such as the European Commission, and those newly established under the AIA, such as the AI Office. It investigates their roles across supranational and national levels, emphasizing how EU regulations influence institutional structures and operations. These regulations may not only directly dictate the structural design of institutions but also indirectly request administrative capacities needed to enforce the AIA. (shrink)

What things mean to us involves more than what they afford in a straightforward sense (e.g., motor affordances). One can think of bodily adornments, lines, or precious stones. Differently from tools like hammers, these things are used to be displayed, watched etc. The paper investigates this very important feature of human behaviour, focusing especially on the expressive possibilities, or salience, of tools. This is interpreted as an emergent property of our engagement with tools, for which tools matter to us because (...) of what they show, not just because of what we do with them in a strict sense. A phenomenological approach is obtained by building upon Heidegger's view of tools as structured by implicit “indications” of relevance; this approach is developed by engaging with debates on mark making, stone tools, and aesthetic experience. It is argued that the salience of things is a process where indications of relevance become explicit and relatively distanced from motor affordances; this alliance of explicitness and absence of action allows for things to "resonate" in us, inviting us to see tools as invitations to imagine, think, and remember. The paper considers examples of entanglements of salience and affordances, where tools and techniques shape symbols and imaginaries. (shrink)

The expertise defense is the best-known response by armchair philosophers to the challenge posed by experimental philosophers regarding the trustworthiness of intuitions. In a series of recent experiments, Experimental philosophers have recently focused on professional philosophers, claiming that, contrary to what the expertise defense assumes, philosophers’ intuitions are no less susceptible to the influence of irrelevant factors (the direct strategy). Additionally, drawing from literature on expertise, they contend that, unlike other domains of expertise, practice does not improve philosophers’ intuitions (the (...) indirect strategy). In this paper, adopting a skill-based perspective on expertise, my primary objective is to defend the expertise defense against both direct and indirect strategies. Based on the skill-based account, I present three arguments against the direct strategy by challenging its power, scope and methodology. Furthermore, borrowing empirical findings from recent literature on expertise, I argue against the indirect strategy that four skills that constitute philosophical expertise regarding thought experiments can be improved through various forms of practice, including deliberate practice. However, my moderate defense departs from typical versions of the expertise defense since I argue that while recent experiments by experimental philosophers cannot undermine the expertise defense, they provide valuable insights into philosophical expertise. (shrink)

The Morality First strategy for developing AI systems that can represent and respond to human values aims to first develop systems that can represent and respond to moral values. I argue that Morality First and other X-First views are unmotivated. Moreover, according to some widely accepted philosophical views about value, these strategies are positively distorting. The natural alternative, according to which no domain of value comes “first” introduces a new set of challenges and highlights an important but otherwise obscured problem (...) for e-AI developers. (shrink)

Many pragmatist and non-representational approaches to cognition, such as the enactivist, have focused on the relations between actions, affectivity, and habits from an intersubjective perspective. For those adopting such approaches, all these aspects are inextricably connected; however, many questions remain open regarding the dynamics by which they unfold and shape each other over time. This paper addresses a specific topic that has not received much attention: the impact on future behavior of not fulfilling possibilities for social interaction even though their (...) fulfillment is desirable within a given context. Inspired by Gibson’s theory of affordances and Dewey’s account of habits, these situations will be characterized as events where an agent does not act upon an inviting affordance for social interaction due to a conflict which he or she experiences between given concerns, needs, and social norms. This conflict leads to a sense of unfulfillment that may eventually bring about a crisis and revision of habits. Through specific examples, this work presents the potential impact of the connection between affordances, habits, and affectivity on everyday situations. It therefore represents an exploration of the common ground between pragmatism and enactivism and an attempt to contribute to a process-based approach to social interaction. (shrink)

Except in extraordinary circumstances, patients' clinical care should reflect their preferences. Incapacitated patients cannot report their preferences. This is a problem. Extant solutions to the problem are inadequate: surrogates are unreliable, and advance directives are uncommon. In response, some authors have suggested developing algorithmic "patient preference predictors" (PPPs) to inform care for incapacitated patients. In a recent paper, Earp et al. propose a new twist on PPPs. Earp et al. suggest we personalize PPPs using modern machine learning (ML) techniques. In (...) this paper, I argue that, contrary to Earp et al.'s claim, personalized patient preference predictors are neither technically feasible nor ethically desirable. (shrink)

The generative AI boom is unleashing its minions. Enterprise software vendors have rolled out legions of automated assistants that use large language model (LLM) technology, such as ChatGPT, to offer users helpful suggestions or to execute simple tasks. These so-called copilots and chatbots can increase productivity and automate tedious manual work. In this article, we explain how that leads to the risk that users' ethical competence may degrade over time — and what to do about it.

Many philosophers hold that generics (i.e., unquantified generalizations) are pervasive in communication and that when they are about social groups, this may offend and polarize people because generics gloss over variations between individuals. Generics about social groups might be particularly common on Twitter (X). This remains unexplored, however. Using maching learning (ML) techniques, we therefore developed an automatic classifier for social generics, applied it to 1.1 million tweets about people, and analyzed the tweets. While it is often suggested that generics (...) are ubiquitous in everyday communication, we found that most tweets (78%) about people contained no generics. However, tweets with generics received more “likes” and retweets. Furthermore, while recent psychological research may lead to the prediction that tweets with generics about political groups are more common than tweets with generics about ethnic groups, we found the opposite. However, consistent with recent claims that political animosity is less constrained by social norms than animosity against gender and ethnic groups, negative tweets with generics about political groups were significantly more prevalent and retweeted than negative tweets about ethnic groups. Our study provides the first ML-based insights into the use and impact of social generics on Twitter. (shrink)

Artificial intelligence (AI) has become nearly ubiquitous in modern society, from components of mobile applications to medical support systems, and everything in between. In societally impactful systems imbued with AI, there has been increasing concern related to opaque AI, that is, artificial intelligence where it is unclear how or why certain decisions are reached. This has led to a recent boom in research on “explainable AI” (XAI), or approaches to making AI more explainable and understandable to human users. In the (...) military domain, numerous bodies have argued that autonomous and AI-enabled weapon systems ought not incorporate unexplainable AI, with the International Committee of the Red Cross and the United States Department of Defense both explicitly including explainability as a relevant factor in the development and use of such systems. In this article, I present a cautiously critical assessment of this view, arguing that explainability will be irrelevant for many current and near-future autonomous systems in the military (which do not incorporate any AI), that it will be trivially incorporated into most military systems which do possess AI (as these generally possess simpler AI systems), and that for those systems with genuinely opaque AI, explainability will prove to be of more limited value than one might imagine. In particular, I argue that explainability, while indeed a virtue in design, is a virtue aimed primarily at designers and troubleshooters of AI-enabled systems, but is far less relevant for users and handlers actually deploying these systems. I further argue that human–machine teaming is a far more important element of responsibly using AI for military purposes, adding that explainability may undermine efforts to improve human–machine teamings by creating a prima facie sense that the AI, due to its explainability, may be utilized with little (or less) potential for mistakes. I conclude by clarifying that the arguments are not against XAI in the military, but are instead intended as a caution against over-inflating the value of XAI in this domain, or ignoring the limitations and potential pitfalls of this approach. (shrink)

This article critically examines the experimental philosophy of free will, particularly the interplay between ordinary individuals’ compatibilist and incompatibilist intuitions. It explores key insights from research studies that propose “natural compatibilism” and “natural incompatibilism”. These studies reveal a complex landscape of folk intuitions, where participants appear to exhibit both types of intuitions. Here, we examine error theories, which purport to explain the coexistence of apparently contradictory intuitions: the Affective Performance Error hypothesis, the “Free Will No Matter What” hypothesis, the Bypassing (...) hypothesis, and the Intrusion hypothesis, and the article explores the cognitive errors that could shape individuals’ inconsistent perceptions of free will. We then explore three possibilities regarding folk intuitions: most individuals may hold either compatibilist or incompatibilist intuitions, both simultaneously, or neither. Our aim is to deepen the understanding of the complex dynamics of intuitions about free will, and we close with suggestions for future studies in experimental philosophy. (shrink)

In this paper I return to Hubert Dreyfus’ old but influential critique of artificial intelligence, redirecting it towards contemporary predictive processing models of the mind (PP). I focus on Dreyfus’ arguments about the “frame problem” for artificial cognitive systems, and his contrasting account of embodied human skills and expertise. The frame problem presents as a prima facie problem for practical work in AI and robotics, but also for computational views of the mind in general, including for PP. Indeed, some of (...) the issues it presents seem more acute for PP, insofar as it seeks to unify all cognition and intelligence, and aims to do so without admitting any cognitive processes or mechanisms outside of the scope of the theory. I contend, however, that there is an unresolved problem for PP concerning whether it can both explain all cognition and intelligent behavior as minimizing prediction error with just the core formal elements of the PP toolbox, and also adequately comprehend (or explain away) some of the apparent cognitive differences between biological and prediction-based artificial intelligence, notably in regard to establishing relevance and flexible context-switching, precisely the features of interest to Dreyfus’ work on embodied indexicality, habits/skills, and abductive inference. I address several influential philosophical versions of PP, including the work of Jakob Hohwy and Andy Clark, as well as more enactive-oriented interpretations of active inference coming from a broadly Fristonian perspective. (shrink)

Doxastic involuntarism—the thesis that we lack direct voluntary control (in response to non-evidential reasons) over our belief states—is often touted as philosophical orthodoxy. I here offer a novel defense of doxastic voluntarism, centered around three key moves. First, I point out that belief has two central functional roles, but that discussions of voluntarism have largely ignored questions of control over belief's guidance function. Second, I propose that we can learn much about doxastic control by looking to cognitive scientific research on (...) control over other relevantly similar mental states. I draw on a mechanistic account of control of the guidance function for “emotion-type states,” and argue that these same cognitive control mechanisms can used to block doxastic guidance. This gives us an account of “back-end” doxastic control which can be deployed for reasons which are not the right kinds of reasons to support “front-end” belief formation—i.e., non-evidential reasons. Third, I argue that comprehensive, self-directed exercises of this kind of control can amount to an underappreciated kind of voluntarism. This form of voluntarism is available to any account of belief that takes guidance-instantiation to be at least partly constitutive of believing. Finally, I discuss objections to, and upshots of, the view. (shrink)

The field of AI safety aims to prevent increasingly capable artificially intelligent systems from causing humans harm. Research on moral alignment is widely thought to offer a promising safety strategy: if we can equip AI systems with appropriate ethical rules, according to this line of thought, they'll be unlikely to disempower, destroy or otherwise seriously harm us. Deontological morality looks like a particularly attractive candidate for an alignment target, given its popularity, relative technical tractability and commitment to harm-avoidance principles. I (...) argue that the connection between moral alignment and safe behavior is more tenuous than many have hoped. In general, AI systems can possess either of these properties in the absence of the other, and we should favor safety when the two conflict. In particular, advanced AI systems governed by standard versions of deontology need not be especially safe. (shrink)

While early optimists have seen online discussions as potential spaces for deliberation, the reality of many online spaces is characterized by incivility and irrationality. Increasingly, AI tools are considered as a solution to foster deliberative discourse. Against the backdrop of previous research, we show that AI tools for online discussions heavily focus on the deliberative norms of rationality and civility. In the operationalization of those norms for AI tools, the complex deliberative dimensions are simplified, and the focus lies on the (...) detection of argumentative structures in argument mining or verbal markers of supposedly uncivil comments. If the fairness of such tools is considered, the focus lies on data bias and an input–output frame of the problem. We argue that looking beyond bias and analyzing such applications through a sociotechnical frame reveals how they interact with social hierarchies and inequalities, reproducing patterns of exclusion. The current focus on verbal markers of incivility and argument mining risks excluding minority voices and privileges those who have more access to education. Finally, we present a normative argument why examining AI tools for online discourses through a sociotechnical frame is ethically preferable, as ignoring the predicable negative effects we describe would present a form of objectionable indifference. (shrink)

This work explores the hypothesis that subjectively attributed meaning constitutes the phenomenal content of conscious experience. That is, phenomenal content is semantic. This form of subjective meaning manifests as an intrinsic and non-representational character of qualia. Empirically, subjective meaning is ubiquitous in conscious experiences. We point to phenomenological studies that lend evidence to support this. Furthermore, this notion of meaning closely relates to what Frege refers to as "sense", in metaphysics and philosophy of language. It also aligns with Peirce's "interpretant", (...) in semiotics. We discuss how Frege's sense can also be extended to the raw feels of consciousness. Sense and reference both play a role in phenomenal experience. Moreover, within the context of the mind-matter relation, we provide a formalization of subjective meaning associated to one's mental representations. Identifying the precise maps between the physical and mental domains, we argue that syntactic and semantic structures transcend language, and are realized within each of these domains. Formally, meaning is a relational attribute, realized via a map that interprets syntactic structures of a formal system within an appropriate semantic space. The image of this map within the mental domain is what is relevant for experience, and thus comprises the phenomenal content of qualia. We conclude with possible implications this may have for experience-based theories of consciousness. (shrink)

Neurolaw is an area of interdisciplinary research on the meaning and implications of neuroscience for the law and legal practices. This Element addresses the potential contributions of neuroscience, and the brain sciences more generally, to criminal justice decision-making and policy. It distinguishes between three different areas and domains of investigation in neurolaw: assessment, intervention, and revision. The first concerns brain-based assessments, which may be used for predicting future violence, lie detection, judging legal insanity, and the like. The second concerns potential (...) treatments and other interventions that aim at rehabilitating criminals and/or preventing crime before it occurs. The third investigates the ways that neuroscience may impact the law by changing or revising commonsense views about human nature and the causes of human action. (shrink)

This essay explores the nature of consciousness and its evolution, guiding the reader through the journey of early life forms and the development of human consciousness. It introduces the idea of a biological framework for a mathematical universe, suggesting that the mathematical structure of the universe is biological in nature. This theory proposes that living organisms and consciousness are a direct result of the universe's biologically-patterned processes, and that these processes can be observed and understood through physiological patterns. The hidden (...) biological patterns in our environment drive the creation and evolution of life and consciousness. -/- It also supports the notion of a biological framework for a mathematical universe by using scientific, religious and historical references, making the argument for perennial wisdom and providing evidence that many ancient religious cultures tried to convey the biological patterns of the universe and its connections to the patterns within the human physiology. (shrink)

This paper investigates the transformative influence of generative AI on the arts, connecting it with Walter Benjamin's insights regarding the aura of art in the mechanical reproduction era. It scrutinizes how generative AI not only redefines art's traditional aura but also introduces a dynamic interplay between technological liberation and dependency. The analysis extends to the democratization of artistic expression and its broader societal impacts, highlighting a shift in art creation, perception, and interpretation in the digital age. This research encapsulates the (...) evolving nature of authenticity, creativity, and human–machine collaboration, marking a significant paradigm shift in art's conception and its role in society. (shrink)

Biases and misunderstanding stemming from pre-training in Generative Pre-Trained Transformers are more likely for users of underrepresented English varieties, since the training dataset favors dominant Englishes (e.g., American English). We investigate (potential) bias in GPT-4 when it interacts with Trinidadian English Creole (TEC), a non-hegemonic English variety that partially overlaps with standardized English (SE) but still contains distinctive characteristics. (1) Comparable responses: we asked GPT-4 18 questions in TEC and SE and compared the content and detail of the responses. (2) (...) Accurate translation: we assessed how accurate and authentic 29 TEC and 34 SE translations were. (3) Language knowledge and attitudes: we asked what language the prompts were written in and categorized the responses and examined any language attitudes that were exhibited. Content and detail in prompts were comparable. The model was proficient at translating TEC pronouns and many grammatical categories. It was weaker at processing spelling and vocabulary items. In addition, it produced several inauthentic features. Only 39% of TEC-generated sentences were fully grammatical. While GPT-4 was perfect at identifying SE, it was 21% accurate at identifying TEC, which it sometimes classified as English with “errors” and “corrected”. GPT-4’s scope of use is limited for non-hegemonic English users. It is problematic that some of its analyses perpetuate bias against underrepresented Englishes. Increased research on lesser-documented Englishes is necessary and we anticipate that this problem affects dialects of other languages. We intend to partner with Trinidadian stakeholders to train GPT-4 in the future. (shrink)

Artificial intelligence is man's attempt to use software to emulate the intelligence of human beings. But the complexity of the human neurological system formed in the course of evolution is impossible to replicate: "Human languages and societies are complex systems, indeed complex systems of many complex systems," so much so that their mathematical modeling is impossible. Barry Smith, philosopher and professor at the University at Buffalo. shows no uncertainty about this. His latest book written with Jobst Landgrebe, a mathematician and (...) entrepreneur in the AI field, leaves no doubt – starting with the title: Why machines will never rule the world (Routledge 2023). The book was presented in Turin during an evening organized by the Fondazione CRT and the Bruno Leoni Institute, in which Smith was interviewed based on questions developed by generative Ai. We have accepted the challenge to conduct an interview parallel to the one done with GPT4. (shrink)

This volume is a newly revised and updated edition of _Evolution and Consciousness_ (Brill, 2019) and provides a comprehensive and accessible introduction to the emerging concept of the evolution of consciousness. It presents an overarching model that moves us to a new level of meaning and understanding of our place in the world.

This article synthesizes the current theoretical attempts to understand human-machine interactions and introduces seven premises to understand our emerging dynamics with increasingly competent, pervasive, and instantly accessible algorithms. The hope that these seven premises can build toward a social theory of human-AI cocreation. The focus on human-AI cocreation is intended to emphasize two factors. First, is the fact that our machine learning systems are socialized. Second, is the coevolving nature of human mind and AI systems as smart devices form an (...) indispensable part of our cognitive scaffolds, thus, shaping how we perceive the world and ourselves. The seven premises include: primacy of social structures; human’s desire for freedom and autonomy; AI systems will form inseparable parts of our cognitive/affective scaffolds and can change our self-understanding; philosophy and humanistic foundations on human flourishing as a guide to human-AI interaction; mindsponge information-filtering process; acculturative process of how values change and emerge from human-AI interaction; overlapping Venn diagram of the human-human, human-nature, and human-machine interactions. This article concludes with a discussion on human agency in our entanglements with socialized machines and the illusoriness of the Cartesian agent view of the mind. (shrink)