Philosophy of Cognitive Science

Much has been written about the need for trustworthy artificial intelligence (AI), but the underlying meaning of trust and trustworthiness can vary or be used in confusing ways. It is not always clear whether individuals are speaking of a technology’s trustworthiness, a developer’s trustworthiness, or simply of gaining the trust of users by any means. In sociotechnical circles, trustworthiness is often used as a proxy for ‘the good’, illustrating the moral heights to which technologies and developers ought to aspire, at (...) times with a multitude of diverse requirements; or at other times, no specification at all. In philosophical circles, there is doubt that the concept of trust should be applied at all to technologies rather than their human creators. Nevertheless, people continue to intuitively reason about trust in technologies in their everyday language. This qualitative study employed an empirical ethics methodology to address how developers and users define and construct requirements for trust throughout development and use, through a series of interviews. We found that different accounts of trust (rational, affective, credentialist, norms based, relational) served as the basis for individual granting of trust in technologies and operators. Ultimately, the most significant requirement for user trust and assessment of trustworthiness was the accountability of AI developers for the outputs of AI systems, hinging on the identification of accountable moral agents and perceived value alignment between the user and developer’s interests. (shrink)

National Artificial Intelligence (AI) strategies articulate imaginaries of the integration of AI into society and envision the governing of AI research, development and applications accordingly. To integrate these central aspects of national AI strategies under one coherent perspective, this paper presented an analysis of Germany’s strategy ‘AI made in Germany’ through the conceptual lens of ordoliberal political rationality. The first part of the paper analyses how the guiding vision of a human-centric AI not only adheres to ethical and legal principles (...) consistent with Germany’s liberal democratic constitutional system but also addresses the risks and promises inherent to the ordoliberal problematization of freedom. Second, it is scrutinized how the strategy cultivates the fear of not achieving technological sovereignty in the AI sector. Thereby, it frames the global AI race as a race of competing (national) approaches to governing AI and articulates an ordoliberal approach to governing AI (the ‘third way’), according to which government has to operate between the twin dangers of governing too much and not governing enough. Third, the paper analyses how this ordoliberal proportionality of governing structures Germany’s Science Technology & Innovation Policy. It is shown that the corresponding risk-based approach of regulating AI constitutes a security apparatus as it produces an assessment of fears: weighting the fear of the failure to innovate with the fear of the ramifications of innovation. Finally, two lines of critical engagement based on this analysis are conducted. (shrink)

Two goals - improving replicability and accountability of Machine Learning research respectively, have accrued much attention from the AI ethics and the Machine Learning community. Despite sharing the measures of improving transparency, the two goals are discussed in different registers - replicability registers with scientific reasoning whereas accountability registers with ethical reasoning. Given the existing challenge of the Responsibility Gap - holding Machine Learning scientists accountable for Machine Learning harms due to them being far from sites of application, this paper (...) posits that reconceptualizing replicability can help bridge the gap. Through a shift from model performance replicability to claim replicability, Machine Learning scientists can be held accountable for producing non-replicable claims that are prone to eliciting harm due to misuse and misinterpretation. In this paper, I make the following contributions. First, I define and distinguish two forms of replicability for ML research that can aid constructive conversations around replicability. Second, I formulate an argument for claim-replicability's advantage over model performance replicability in justifying assigning accountability to Machine Learning scientists for producing non-replicable claims and show how it enacts a sense of responsibility that is actionable. In addition, I characterize the implementation of claim replicability as more of a social project than a technical one by discussing its competing epistemological principles, practical implications on Circulating Reference, Interpretative Labor, and research communication. (shrink)

General Introduction to the PF interpretation of QM and quantum gravity Merriam, P., Habeeb, MAZ The first purpose of this series of articles is to introduce case studies on how current AI models can be used in the development of a possible theory of quantum gravity, their limitations, and the role the researcher has in steering the development in the right direction, even highlighting the errors, weaknesses and strengths of the whole process. The second is to introduce the new Presentist (...) Fragmentalist ontology as a framework and use it for developing theories of quantum gravity and speculate on achieving a TOE. We emphasize it is necessary for the researcher to check everything in these articles for themselves. While there are many good ideas in this series of papers, the AI is known to make even arithmetic and algebraic mistakes. To select just five apparently good ideas, there is a causal interaction tensor Cαβγδ(F1, F2) that encodes the causal relationship and the strength of the (possibly non-local) interaction between two fragments of reality (formed by each quantum system). There is a quantitative prediction for a testable table-top experiment. There is an explanation of how spacetime emerges from the fragments and their interactions. There is an explicit account of the double-slit experiment. And there is an explanation how this theory accommodates dark matter and dark energy simultaneously. We explore ideas, equations they lead to, concrete calculations, and give corrections along the way. While these are generally morally right within this framework they must be checked by the researcher. Given this caveat, we believe we have made significant progress with the PF interpretation in developing a theory of quantum gravity and pointing out a possible path to a TOE. (shrink)

Explainable AI (xAI) methods are important for establishing trust in using black-box models. However, recent criticism has mounted against current xAI methods that they disagree, are necessarily false, and can be manipulated, which has started to undermine the deployment of black-box models. Rudin (2019) goes so far as to say that we should stop using black-box models altogether in high-stakes cases because xAI explanations ‘must be wrong’. However, strict fidelity to the truth is historically not a desideratum in science. Idealizations (...) – the intentional distortions introduced to scientific theories and models – are commonplace in the natural sciences and are seen as a successful scientific tool. Thus, it is not falsehood qua falsehood that is the issue. In this paper, I outline the need for xAI research to engage in idealization evaluation. Drawing on the use of idealizations in the natural sciences and philosophy of science, I introduce a novel framework for evaluating whether xAI methods engage in successful idealizations or deceptive explanations (SIDEs). SIDEs evaluates whether the limitations of xAI methods, and the distortions that they introduce, can be part of a successful idealization or are indeed deceptive distortions as critics suggest. I discuss the role that existing research can play in idealization evaluation and where innovation is necessary. Through a qualitative analysis we find that leading feature importance methods and counterfactual explanations are subject to idealization failure and suggest remedies for ameliorating idealization failure. (shrink)

According to the extended cognition thesis, an agent’s cognitive system can sometimes include extracerebral components amongst its physical constituents. Here, we show that such a view of cognition has an unjustifiably anthropocentric focus, for it tends to depict cognitive extensions as a human-only affair. In contrast, we will argue that if human cognition extends, then the cognition of many non-human animals extends too, for many non-human animals rely on the same cognition-extending strategies humans rely on. To substantiate this claim, we (...) will proceed as follows. First (Sect. 1), we will introduce the extended cognition thesis, exposing its anthropocentric bias. Then, we will show that humans and many non-human animals rely on the same cognition-extending strategies. To do so, we will discuss a variety of case studies, including “intrabodily” cognitive extensions such as the spinal cord (Sect. 2), the widespread reliance on epistemic actions to solve cognitive tasks (Sect. 3) and cases of animal cognitive offloading (Sect. 4). We’ll then allay some worries our claim might raise (Sect. 5) to then conclude the paper (Sect. 6). (shrink)

The potential for Large Language Models (LLMs) to attain technological singularity—the point at which artificial intelligence (AI) surpasses human intellect and autonomously improves itself—is a critical concern in AI research. This paper explores the feasibility of current LLMs achieving singularity by examining the philosophical and practical requirements for such a development. We begin with a historical overview of AI and intelligence amplification, tracing the evolution of LLMs from their origins to state-of-the-art models. We then proposes a theoretical framework to assess (...) whether existing LLM technologies could satisfy the conditions for singularity, with a focus on Recursive Self-Improvement (RSI) and autonomous code generation. We integrate key component technologies, such as Reinforcement Learning from Human Feedback (RLHF) and Direct Preference Optimization (DPO), into our analysis, illustrating how these could enable LLMs to independently enhance their reasoning and problem-solving capabilities. By mapping out a potential singularity model lifecycle and examining the dynamics of exponential growth models, we elucidate the conditions under which LLMs might self-replicate and rapidly escalate their intelligence. We conclude with a discussion of the ethical and safety implications of such developments, underscoring the need for responsible and controlled advancement in AI research to mitigate existential risks. Our work aims to contribute to the ongoing dialogue on the future of AI and the critical importance of proactive measures to ensure its beneficial development. (shrink)

The visual system adapts to a wide range of visual features, from lower-level features like color and motion to higher-level features like causality and, perhaps, number. According to some, adaptation is a strictly perceptual phenomenon, such that the presence of adaptation licenses the claim that a feature is truly perceptual in nature. Given the theoretical importance of claims about adaptation, then, it is important to understand exactly when the visual system does and does not exhibit adaptation. Here, we take as (...) a case study one specific kind of adaptation: visual adaptation to size. Supported by evidence from four experiments, we argue that, despite robust effects of size adaptation in the lab, (1) size adaptation effects are phenomenologically underwhelming (in some cases, hardly appreciable at all), (2) some effects of size adaptation appear contradictory, and difficult to explain given current theories of size adaptation, and (3) prior studies on size adaptation may have failed to isolate size as the adapted dimension. Ultimately, we argue that while there is evidence to license the claim that size adaptation is genuine, size adaptation is a puzzling and poorly understood phenomenon. (shrink)

International regulation of autonomous weapon systems (AWS) is increasingly conceived as an exercise in risk management. This requires a shared approach for assessing the risks of AWS. This paper presents a structured approach to risk assessment and regulation for AWS, adapting a qualitative framework inspired by the Intergovernmental Panel on Climate Change (IPCC). It examines the interactions among key risk factors—determinants, drivers, and types—to evaluate the risk magnitude of AWS and establish risk tolerance thresholds through a risk matrix informed by (...) background knowledge of event likelihood and severity. Further, it proposes a methodology to assess community risk appetite, emphasizing that such assessments and resulting tolerance levels should be determined through deliberation in a multistakeholder forum. The paper highlights the complexities of applying risk-based regulations to AWS internationally, particularly the challenge of defining a global community for risk assessment and regulatory legitimization. (shrink)

An expression of disagreement with the views stated in The New York Declaration on Animal Consciousness.

This paper will be concerned with the role acquaintance plays in contemporary theories of introspection. Traditionally, the relation of acquaintance has been conceived in analytic epistemology and philosophy of mind as being only epistemically relevant inasmuch as it causes, or enables, or justifies a peculiar kind of propositional knowledge, i.e., knowledge by acquaintance. However, in recent years a novel account of the role of acquaintance in our introspective knowledge has been offered. According to this novel constitutive approach, acquaintance is, in (...) itself, a sui generis—i.e., non-propositional—kind of knowledge. As we will suggest, a stalemate between David Chalmers’ account of direct phenomenal concepts—as a prototypical example of a causal view—and Anna Giustina’s account of primitive introspection—as a prototypical example of a constitutive view—is looming in the current controversy between the two families of theories. Towards the end of the essay, we will point to some possible ways for a constitutive theorist to break the stalemate. (shrink)

In this paper, I examine why moral exemplars are useful and even necessary in moral education despite several critiques from researchers and educators. To support my point, I review recent AI research demonstrating that exemplar-based learning is superior to rule-based learning in model performance in training neural networks, such as large language models. I particularly focus on why education aiming at promoting the development of multifaceted moral functioning can be done effectively by using exemplars, which is similar to exemplar-based learning (...) in AI model training. Furthermore, I discuss the potential limitations and issues related to exemplar-applied moral education with findings from recent studies in AI research raising concerns about model biases and toxic outcomes. I attempt to propose ways to address the concerns regarding employing moral exemplars as well. As remedies, I suggest that autonomy-supporting deliberative and reflective learning processes should be utilized. Furthermore, based on the discussion, I examine how macroscopic socio-cultural aspects influence the effectiveness of exemplar-applied moral education. Suggestions for moral educators and future directions for research in moral education are briefly discussed. (shrink)

All theories of world creation, whether scientific, philosophical, or religious, can readily acknowledge the fact that humans have primarily evolved to engage with nature, the individual self, fellow human beings, society, and other naturalistic aspect of existence. Nevertheless, several novel challenges ascend when the human mind engages with technology, media, machines, and related concepts such as—ChatGPT, artificial intelligence, and to name a few. For that reason, we need philosophy and critical assessment of the uncovered essence of advanced technologies, media and (...) machines and our way of life concerning them. In other words, protectively assessing their impact requires a thorough examination of ethical and existential concerns, including technology’s implications for freedom, AI’s evolving role, the essence of human being, and the unexamined transformative societal changes that follow. Building upon the premise that these phenomena share a common thread despite their apparent disparities, our interdisciplinary pursuit draws inspiration from philosophical luminaries such as Luciano Floridi, Karamjit S. Gill, David Kaplan, Aldous Huxley, Martin Heidegger, Hannah Arendt, and Gandhi. Through philosophical insights, we explore the essence of technology and its broad effects, with a focus on its impact on human freedom and essence in both public and private domains. (shrink)

In 2023, online search engine provider Microsoft integrated a language model that provides direct answers to search queries into its search engine Bing. Shortly afterwards, Google also introduced a similar feature to its search engine with the launch of Google Gemini. This introduction of direct answers to search queries signals an important and significant change in online search. This article explores the implications of this new search paradigm. Drawing on Donna Haraway’s theory of _Situated Knowledges_ and Rainer Mühlhoff’s concept of (...) _Sealed Surfaces_, I introduce the term _Sealed Knowledges_ to draw attention to the increasingly difficult access to the plurality of potential answers to search queries through the output of a singular, authoritative, and plausible text paragraph. I argue that the integration of language models for the provision of direct answers into search engines is based on a de-situated and disembodied understanding of knowledge and affects the subjectivities of its users. At the same time, the _sealing of knowledges_ can lead to an increasing spread of misinformation and may make marginalized knowledge increasingly difficult to find. The paper concludes with an outlook on how to resist the increasing _sealing of knowledges_ in online search. (shrink)

A shared narrative in the literature on the evolution of cooperation maintains that social learning evolves early to allow for the transmission of cumulative culture. Social norms, whilst present at the outset, only rise to prominence later on, mainly to stabilise cooperation against the threat of defection. In contrast, I argue that once we consider insights from social epistemology, an expansion of this narrative presents itself: An interesting kind of social norm — an epistemic coordination norm — was operative in (...) early and important instances of specialised social learning. I show how there’s a need for such norms in two key social learning strategies and explain how this need is constituted. In assessor-teaching (e.g. Castro et al. 2019; 2021), epistemic coordination norms allow agents to coordinate around the content of social learning, i.e., what is to be known and how this is to be done. These norms also allow agents to coordinate around the form of cultural learning in what’s sometimes called strategic social learning (Laland 2004; Hoppitt and Laland 2013; Heyes 2018, chap. 5) and elsewhere. Broadly speaking, this concerns how cultural learning is organised within the social group. The upshot is that the evolution of social learning and social norms are intertwined in important and underappreciated ways from early on. The above matters as it informs our views about the evolution of social norms more generally. Truly social norms emerged to coordinate a plurality of complex behaviours and interactions, amongst them specialised social learning. I substantiate this view by contrasting it with Jonathan Birch’s views on the evolution of norms. What results is a general but cohesive narrative on the early evolution of social norms. (shrink)

When artificial intelligence (AI) is used to make high-stakes decisions, some worry that this will create a morally troubling responsibility gap—that is, a situation in which nobody is morally responsible for the actions and outcomes that result. Since the responsibility gap might be thought to result from individuals lacking knowledge of the future behavior of AI systems, it can be and has been suggested that deploying explainable artificial intelligence (XAI) techniques will help us to avoid it. These techniques provide humans (...) with certain forms of understanding of the systems in question. In this paper, I consider whether existing XAI techniques can indeed close the responsibility gap. I identify a number of significant limits to their ability to do so. Ensuring that responsibility for AI-assisted outcomes is maintained may require using different techniques in different circumstances, and potentially also developing new techniques that can avoid each of the issues identified. (shrink)

Deepfakes, as hyperrealistic digital fabrications, reveal gaps and uncertainties in existing ontological frameworks. Neither simply images nor realities, deepfakes occupy an ambiguous metaphysical position between concepts such as representation/simulation, human/machine, and real/artificial. Their emergent generation via AI and experiential traction as credible synthetic media underscores limitations in prevailing paradigms reliant on purified binaries and anthropocentric assumptions. Rather than anomalies, deepfakes epitomize the imperative for new ontological cartographies and conceptual vocabularies attuned to increasingly unbounded algorithmic creation. The paper surveys debates about (...) digital objects and theories of representation to contextualize this argument. Deepfakes’ ontological novelty stems from their ambiguous origins, autonomous proliferation, and infiltration of perceivable situations with credible fictions. This destabilizes ontological foundations such as creative intentionality and indexical truth. I conclude deepfakes signal the insufficiency of existing ontology for navigating realities transformed by generative technologies. New paradigms are needed that grapple with their radical metaphysical challenges. (shrink)

The way in which agency is conceptualised has implications for understanding human–machine interactions and the governance of technology, especially artificial intelligence (AI) systems. Traditionally, agency is conceptualised as a capacity, defined by intrinsic properties, such as cognitive or volitional facilities. I argue that the capacity-based account of agency is inadequate to explain the dynamics of human–machine interactions and guide technology governance. Instead, I propose to conceptualise agency as impact. Agents as impactful entities can be identified at different levels: from the (...) low level of individual entities to the high level of complex socio-technical systems. Entities can impact their surroundings through different channels, and more influential channels of impact lead to higher degrees of agency. Technology governance must take into account different channels of impact in the contexts of use, design and regulation. (shrink)

Episodic memory is memory for past events. It’s characteristically associated with an experience of ‘mentally replaying’ one’s experiences in the mind’s eye. This biological phenomenon has inspired the development of several ‘experience replay’ algorithms in AI. In this chapter, I ask whether experience replay algorithms might shed light on a puzzle about episodic memory’s function: what does episodic memory contribute to the cognitive systems in which it is found? I argue that experience replay algorithms can serve as idealized models of (...) episodic memory for the purposes of addressing this question. Taking the DQN algorithm as a case study, I suggest that these algorithms provide some support for mnemonic accounts, on which episodic memory’s function lies in the storage, encoding and retrieval of information. By extending and adapting experience replay algorithms, we might gain further insight into episodic memory’s operations and contributions to cognition. (shrink)

Episodic memory gives us the ability to mentally travel back in time to revisit and relive past experiences. In recent years, there has been an increased interest in the function of episodic memory. According to the orthodox view, episodic memory should be considered a part of a constructive system that simulates the future for sophisticated foresight and flexible planning. In this paper, I offer a novel alternative view. I argue that episodic memory provides invaluable information about the past behavior of (...) others, allowing us to identify reliable and trustworthy partners while avoiding dealing with cheaters. Theoretical models demonstrate that cooperation in groups can be maintained if potential partners use information about an individual’s past behavior to guide their behavior toward that individual. In these reputation-based models of human cooperation, individuals with a history of cheating are ostracized, whereas those with a history of cooperative behavior flourish. Against this theoretical background, it is possible to see a function of episodic memory in facilitating information exchange about others, helping group members make effective partner choices, and avoiding the risk of interacting with cheaters. If correct, episodic memory may have played a significant role in the evolution of human cooperation. (shrink)

Explanations in behavioural neuroscience are often said to be mechanistic in the sense that they explain an organism’s behaviour by describing the activities and organisation of the organism’s parts that are “constitutively relevant” to organism behaviour. Much has been said about the constitutive relevance of working parts (in debates about the so-called “mutual manipulability criterion”), but relatively little has been said about the constitutive relevance of the organising relations between working parts. Some New Mechanists seem to endorse a simple causal-linking (...) account: organising relations are constitutively relevant to organism behaviour if and only if (and because) they are causal relations that link the working parts that are constitutively relevant to organism behaviour. In this paper, I argue that the causal-linking account is inadequate because it neglects the constitutive relevance of anatomical relations that organise the working parts of a behaving organism. I demonstrate this by considering a case study where the anatomical organisation of the barn owl (Tyto alba) is constitutively relevant to their mechanism for sound localization. The anatomical organisation of this mechanism is best understood as the back-and-forth flow of task information across 7 “levels of anatomy” (a notion that I distinguish from levels of mechanism). A further implication, I conclude, is that at least some of the interlevel structure of neuroscientific explanation is accounted for by levels of anatomy, not levels of mechanism. (shrink)

En la presente tesis de titulación se ha propuesto investigar el concepto de intention-reading de Michael Tomasello con el fin de aclarar su caracterización dentro del contexto de su teoría de adquisición del lenguaje. En segundo lugar, tomando como base lo anterior, se quiere identificar los supuestos que adopta Tomasello en la descripción de este proceso para así poder relacionar su teoría del aprendizaje del lenguaje con alguna arquitectura cognitiva. La motivación principal para escoger este tópico es precisar la relación (...) de antagonismo que es ampliamente aceptada entre la teoría de aprendizaje de lenguaje de Tomasello y la de Chomsky. Se tendrán presentes las siguientes preguntas para guiar la indagación: ¿En qué grado es una alternativa a la gramática universal la teoría de Tomasello? ¿Es acaso una teoría alternativa radical a lo que propone Chomsky siendo posible agruparla dentro de una concepción encarnada de la cognición? O ¿Es Tomasello una alternativa a Chomsky, pero dentro de un paradigma clásico de la cognición? (shrink)

Subjective perception of sleep is not necessarily consistent with electroencephalography (EEG) indications of sleep. The mismatch between subjective reports and objective measures is often referred to as “sleep state misperception.” Previous studies evince that this mismatch is found in both patients with insomnia and in normal sleepers, but the neurophysiological mechanism remains unclear. The aim of the study is to explore the neurophysiological basis of this mechanism, from the perspective of both EEG power and functional magnetic resonance imaging (fMRI) fluctuations. (...) Thirty-six healthy young adults participated in the study. Simultaneous EEG and fMRI recordings were conducted while the participants were trying to fall asleep in an MRI scanner at approximately 9:00 pm. They were awakened after achieving stable N1 or N2 sleep, or after 90 min without falling into stable sleep. Next they were asked to recall their conscious experiences from the moment immediately prior to awakening. Sixty-one instances of scheduled awakenings were collected: 21 of these after having achieved stable stage N2 sleep; 12, during stage N1 sleep; and, 20 during the waking state. Relative to those awakenings without subjective–objective discrepancy (n = 27), these awakenings with discrepancy (n = 14) were associated with lower θ power, as well as higher α, β, and γ power. Moreover, we found that participants who exhibited the discrepancy, compared with those who did not, evinced a higher amplitude of low-frequency fluctuation levels in the prefrontal cortex. These results lend support to the conjecture that the subjective–objective discrepancy is associated with central nervous system hyperarousal. (shrink)

The first purpose of this series of articles is to introduce case studies on how current AI models can be used in the development of a possible theory of quantum gravity, their limitations, and the role the researcher has in steering the development in the right direction, even highlighting the errors, weaknesses and strengths of the whole process. -/- The second is to introduce the new Presentist Fragmentalist ontology as a framework and use it for developing theories of quantum gravity (...) and speculate on achieving a TOE. We emphasize it is necessary for the researcher to check everything in these articles for themselves. While there are many good ideas in this series of papers, the AI is known to make even arithmetic and algebraic mistakes. -/- To select just five apparently good ideas, there is a causal interaction tensor Cαβγδ(F1, F2) that encodes the causal relationship and the strength of the (possibly non-local) interaction between two fragments of reality (formed by each quantum system). There is a quantitative prediction for a testable table-top experiment. There is an explanation of how spacetime emerges from the fragments and their interactions. There is an explicit account of the double-slit experiment. And there is an explanation how this theory accommodates dark matter and dark energy simultaneously. -/- We explore ideas, equations they lead to, concrete calculations, and give corrections along the way. While these are generally morally right within this framework they must be checked by the researcher. Given this caveat, we believe we have made significant progress with the PF interpretation in developing a theory of quantum gravity and pointing out a possible path to a TOE. (shrink)

The ability to communicate in a specific language like Chinese typically indicates that the speaker understands the language. A counterexample to this belief is John Searle’s Chinese room experiment. It has been shown in this experiment that in certain circumstances we can communicate with a Chinese speaker without intuitively acknowledging that the Chinese language is understood in the conversation. In the present paper, we aim to present another counterexample showing that, in certain circumstances, we can communicate using a specific language (...) by converting its words to those of our natural language, and understand what is expressed using the language without understanding it. Using a specific conversion process introduced in the present paper, symbols and even sounds of a language like the Chinese language lose their original function and act as a tool to express one’s natural language. To better understand this, imagine the English language has another writing or phonological system in addition to its current writing system. (shrink)

Epistemology has taken a zetetic turn from the study of belief towards the study of inquiry. Several decades ago, theories of bounded rationality took a procedural turn from attitudes towards the processes of inquiry that produce them. What is the relationship between the zetetic and procedural turns? In this paper, I argue that we should treat the zetetic turn in epistemology as part of a broader procedural turn in the study of bounded rationality. I use this claim to motivate and (...) clarify the zetetic turn in epistemology, as well as to reveal the need for a second zetetic turn within practical philosophy. (shrink)

This article explores the notion of the unconscious (das Unbewusste) in terms of its nature and constitutive manifestations in consciousness. In contrast to the psychoanalytic formulation, the unconscious is conceptualized here distinctively as sedimentation (die Sedimentierung) within the Husserlian framework. All `experiences sediment and are “stored” in a darkened, affectless region of the psyche, which is nonetheless not in any sense separated from the sphere of consciousness. Rather, the sedimented experiences move dynamically between the unconscious and consciousness, constantly affecting and (...) manifesting in the upcoming conscious activities of the subject. Based on this conceptualization, I suggest a schematic understanding of the manifestations of the unconscious, or sedimentation, in consciousness. The conceptual division of consciousness into the sphere of understanding (Verstandessphäre), sphere of affect (Gemütssphäre) and sphere of volition (Willenssphäre) allows us to speak of the corresponding threefold manifestations of the unconscious in each of these spheres as type (Typus), mood (Stimmung) and habits (Habitus). Having their genetic “origin” in sedimented experiences, these structural moments play a constitutive role in upcoming conscious activities of the intentional subject. Furthermore, I demonstrate that each of these moments is characterized by a distinctive kind of horizonality, in light of which a deepened understanding of the genetic concept of horizon-consciousness (Horizontbewusstsein) is obtained. Despite the conceptual tripartition, I emphasize at the end the essential intertwinement of the three structural moments in such conscious performance as association. (shrink)

This paper (in German) discusses the question of what is going on when large language models (LLMs) produce meaningful text in reaction to human prompts. Can LLMs be understood as authors or producers of speech acts? I argue that this question has to be answered in the negative, for two reasons. First, due to their lack of semantic understanding, LLMs do not understand what they are saying and hence literally do not know what they are (linguistically) doing. Since the agent’s (...) knowing what they are doing is a necessary condition of action, LLMs cannot be said to produce speech acts. Secondly, agency conceptually implies accepting accountability for one’s doings, which in turn implies some kind of practical commitment to live up to that accountability. Since LLMs lack any kind of practical commitment, they cannot be said to produce speech acts. I then assess two proposals of how better to understand the contribution of LLMs to human discourse. According to Anna Strasser and Eric Schwitzgebel, they should be understood as junior partners in asymmetric joint action. I claim that this suggestion founders on the same objections as rehearsed above. According to Alice Helliwell, they should be understood as a radically new kind of component of our (human) extended mind. Although I do have reservations about this suggestion as well, it seems the most promising at this point. (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)

Traces of many past events are often layered or superposed, in brain, body, and world alike. This often poses challenges for individuals and groups, both in accessing specific past events and in regulating or managing coexisting emotions or attitudes. We sometimes struggle, for example, to find appropriate modes of engagement with places with complex and difficult pasts. More generally, there can appear to be a tension between what we know about the highly constructive nature of remembering, whether it is drawing (...) on neural or worldly resources or both, and the ways that we need and use memory to make claims on the past, and to maintain some appropriate causal connections to past events. I assess the current state of work on situated affect and distributed memory, and the recent criticisms of the ‘dogma of harmony’ in these fields. I then deploy these frameworks to examine some affective dimensions of place memory, sketching a strongly distributed conception of places as sometimes partly constituting the processes and activities of feeling and remembering. These approaches also offer useful perspectives on the problems of how to engage – politically and aesthetically – with difficult pasts and historically burdened heritage. In assessing artistic interventions in troubled places, we can seek responsibly to do justice to the past while fully embracing the dynamic and contested constructedness of our present emotions, memories, and activities. (shrink)

In this text, our question is what is the current regulatory trend in countries that are not considered central in the development of artificial intelligence, such as Brazil: a preventive approach, or an experimental approach? We will analyze the bills (PL) that are being processed in legislative houses at the state level, and at the federal level, highlighting some elements, such as: Delimitation of the object (conceptualization), fundamental principles, ethical guidelines, relationship with human work, human supervision, and guidelines for public (...) authorities. Based on these elements, we identified how the issues that drive the contemporary debate on AI have been addressed in these legislative initiatives. The results indicate that the strongest national regulation proposal mentions risks, rights, governance, economic agents; these mentions dialogue with the concerns discussed by researchers around the world, regarding the mitigation and prevention of risks, regarding the preservation of individual and collective rights, the role of the State as a regulator and supervisor, and, as was to be expected, the maintenance of economic policies that possibly tend to protect the market; proposes that the foundations of the development, implementation and use of AI have values consistent with ‘human centered AI’ (Bingley et al. 2023), but also points to the neoliberal matrix; introduces human supervision as an effective element in the AI systems cycle; the trend that we can observe in Brazil is the configuration of a regulation that harmonizes articles that favor the preventive approach, with the presence of articles that favor the experimentation approach. (shrink)

With this contribution I explore the relationship between attention development in modern archers and attention as a cognitive requirement for ancient bow hunting – a techno-behaviour that may have originated sometime between 80 and 60 thousand years ago in sub-Saharan Africa. Material Engagement Theory serves as a framework for the inextricable interrelatedness between brain, body and mind, and how practicing to use bimanual technologies shapes aspects of our cognition, including our ability to pay attention. In a cross-disciplinary approach, I use (...) cognitive-motor neuroscience to demonstrate the role of attention in modern archery and highlight brain regions that are activated or ‘pressured’ during aiming with attention. One of these areas, the precuneus together with the default mode network, serves as neurological hub for accurate bimanual material engagement practiced over a distance. The likely development of the precuneus, in tandem with the unique globularisation of the human skull, can be traced in the Homo sapiens fossil record since about 160 thousand years ago, reaching the modern range by around 100 thousand years ago within a continuum of brain modification. Variation in human neuro-genetic adaptations since our split from the Denisovan and Neanderthal groups further suggest differences in attention as a cognitive trait between recent big-brained humans. I suggest that these observations may serve as bridging theory for understanding how some aspects of the sapient ability to pay attention was developed. (shrink)

Artificial intelligence (AI) and machine learning (ML) are becoming increasingly significant areas of research for scholars in science and technology studies (STS) and media studies. In March 2020, Waymo, Google/Alphabet’s autonomous vehicle project, introduced the ‘Open Dataset Virtual Challenge’, an annual competition leveraging their Waymo Open Dataset. This freely accessible dataset comprises annotated autonomous vehicle data from their own Waymo vehicles. Yearly, Waymo has continued to host iterations of this challenge, inviting teams of computer scientists to tackle evolving machine learning (...) and vision problems using Google's data and tools. This article analyses these challenges, situating them within the context of the ‘Grand Challenges’ of artificial intelligence (AI), which aimed to foster accountable and commercially viable advancements in the late 1980s. Through two exploratory workshops, we adopted a ‘technographic’ approach to examine the pivotal role of challenges in the development and political economy of AI. Serving as an organising principle for the AI innovation ecosystem, the challenge connects companies and external collaborators, driving advancements in specific machine vision domains. By exploring six key themes—interface methods, incrementalism, metrics, AI vernacular, applied domains, and competitive advantages—the article illustrates the role of these challenges in shaping AI research and development. By unpacking the dynamic interaction between data, computation, and labour, these challenges serve as catalysts propelling advancements towards self-driving technologies. The study reveals how challenges have historically and presently shaped the evolving landscape of self-driving and AI technologies. (shrink)

Over the last twenty years, archaeologists have used various process-oriented modes of enquiry to undermine the belief that humans are special. Barad (2007) developed Bohr’s indeterminist interpretation of quantum mechanics into agential realism which offers an ontological basis for distributing agency away from humans and plays a crucial role in underwriting some posthumanist archaeological agendas. But its origins in quantum physics make agential realism difficult to understand and evaluate. Despite the challenge, the first two parts of this paper are devoted (...) to each task in turn, with limited success. Part three turns to the archaeological literature, where the evaluation of agential realism turns out to be even more inadequate and so I advise against its use in support of process-oriented approaches in archaeology. The final section turns to the activity of an art workshop and introduces a playful approach to working with clay. Clayful phenomenology is a way of investigating the relationship between gesture, material and ideation. During sculpting, phenomenological experience is not subjective, stable and external but is generated within a transient creative system where entities, ideas and agency reciprocally, emerge as ephemeral manifestations. Clayful phenomenology and agential realism are ontologically similar and both are controversial but agential realism has a wall of quantum conceptual complexity standing between it and a judgement about credibility whereas playing with clay can be assessed directly, through experience. (shrink)

This research paper aims to study analogy as a comparative thinking and to investigate whether it is justified in claiming that an analogical thought has cognitive content. Two theories in cognitive science claim that analogy has cognitive content. The first one is called the weak view of analogy in cognition, e.g. the works of Gust et al. (2008), Lakoff & Johnson (1980), Hesse (1950), Black (1955); and the second one is called the strong view of analogy in cognition, e.g. the (...) works of Hofstadter (2001), Hofstadter& Sanders (2013). According to the weak view, analogical thought is only a necessary condition of cognition. But for the strong view, analogy is both necessary and sufficient of cognition. Regardless of the differences, both theories are not justified in claiming analogical content. While the weak view cannot provide an account of the perceptual aspect of content, the strong view suffers from the lack of normative constraint for analogical content. -/- Keywords: analogy, comparative thinking, concept, cognitive content, philosophy of cognitive science . (shrink)

Huckleberry Finn believes that by helping Miss Watson’s slave Jim escape to freedom, he is doing something wrong. But Huck does it anyway—and many want to give him moral credit for this choice. If Huck is to be worthy of such moral esteem, however, it seems there must be some implicit way of appreciating and responding to considerations as moral reasons that does not involve explicitly believing that those considerations are moral reasons. This chapter argues that an agent like Huck (...) can implicitly appreciate a consideration as a moral reason to φ by presenting it under the light of a particular phenomenologically-mediated mode of presentation: one that presents that consideration via the light of a felt directive force “pointing” towards φ-ing—lending weight to it, or soliciting it—in a particular authoritative way. Thus, I suggest, Huck may be understood on analogy with a young jazz piano virtuoso. As she may appreciate that the G-seventh chord having been played just so constitutes an aesthetic reason for her to ease into the C-major-seventh chord just so by virtue of experiencing the former as pointing or directing her to the latter, so also, I propose, Huck may appreciate the considerations speaking in favor of helping Jim as moral reasons to help Jim by virtue of experiencing them as pointing or directing him to help Jim. The chapter also examines and rejects four alternative proposals for how to account for implicit reasons-appreciation: first, a de re account of appreciation and then three additional accounts of appreciation derived from major theories of mental representation (inferentialist, causal tracking, and functionalist theories). (shrink)

The main message of Neuroethics is that neuroscience forces us to reconceptualize human agency as marvelously diverse and flexible. Free will can arise from unconscious brain processes. Individuals with mental disorders, including addiction and psychopathy, exhibit more agency than is often recognized. Brain interventions should be embraced with cautious optimism. Our moral intuitions, which arise from entangled reason and emotion, can generally be trusted. Nevertheless, we can and should safely enhance our brain chemistry, partly because motivated reasoning crops up in (...) everyday life and in the practice of neuroscience itself. Despite serious limitations, brain science can be useful in the courtroom and marketplace. Recognizing all this nuance leaves little room for anxious alarmism or overhype and urges an emphasis on neurodiversity. The result is a highly opinionated tour of neuroethics as an exciting field full of implications for philosophy, science, medicine, law, and public policy. (shrink)

Issues of reliability are claiming center-stage in the epistemology of machine learning. This paper unifies different branches in the literature and points to promising research directions, whilst also providing an accessible introduction to key concepts in statistics and machine learning---as far as they are concerned with reliability.

Humans have distinctive powers of reflection: no other animal seems to have anything like our capacity for self-examination. Many philosophers hold that this capacity has a uniquely important guiding role in our cognition; others, notably Hilary Kornblith, draw attention to its weaknesses. Kornblith chiefly aims to dispel the sense that there is anything ‘magical’ about second-order mental states, situating them in the same causal net as ordinary first-order mental states. But elsewhere he goes further, suggesting that there is something deeply (...) misleading about reflection’s first-person view of cognition. This chapter takes a closer look at the conditions under which reflection is misleading. Even if humans are the only reflective animals, we are no longer the only creatures that can be questioned about their claims. Chatbots can also be asked to explain themselves, and by studying the conditions under which they produce clarification as opposed to confabulation, we can develop a non-skeptical account of the epistemic value of reflection. I argue that this capacity naturally supports the distribution of complex problem solving among multiple agents. (shrink)