Abstract: In the course of seeking an answer to the question "How do you know you are not a zombie?" Floridi (2005) issues an ingenious, philosophically rich challenge to artificial intelligence (AI) in the form of an extremely demanding version of the so-called knowledge game (or "wise-man puzzle," or "muddy-children puzzle")—one that purportedly ensures that those who pass it are self-conscious. In this article, on behalf of (at least the logic-based variety of) AI, I take up the challenge—which (...) is to say, I try to show that this challenge can in fact be met by AI in the foreseeable future. (shrink)

This chapter contains sections titled: Introduction Preliminaries The Knowledge‐Game Quartet AI, Contra Floridi, Can Handle KG4 Objections Conclusion Acknowledgments References.

The main idea -- The functioning of a neuron -- Brain structure and function -- The general structure of the neural network -- Instincts, emotions, free will -- The nature of mental objects -- The rise and essence of (self-)consciousness -- Artificial intelligence -- Cognitive limitations of man.

This unique volume will appeal to those interested in the philosophy of mind, cognitive science, and artificial intelligence as well as students of Castaneda and Latin American philosophy.

In the field of machine consciousness, it has been argued that in order to build human-like conscious machines, we must first have a computational model of qualia. To this end, some have proposed a framework that supports qualia in machines by implementing a model with three computational areas (i.e., the subconceptual, conceptual, and linguistic areas). These abstract mechanisms purportedly enable the assessment of artificial qualia. However, several critics of the machine consciousness project dispute this possibility. For instance, (...) Searle, in his Chinese room objection, argues that however sophisticated a computational system is, it can never exhibit intentionality; thus, would also fail to exhibit consciousness or any of its varieties. This paper argues that the proposed architecture mentioned above answers the problem posed by Searle, at least in part. Specifically, it argues that we could reformulate Searle’s worries in the Chinese room in terms of the three-stage artificial qualia model. And by doing so, we could see that the person doing all the translations in the room could realize the three areas in the proposed framework. Consequently, this demonstrates the actualization of self-consciousness in machines. (shrink)

Could a sufficiently detailed computer simulation of consciousness replicate consciousness? In other words, is performing the right computations sufficient for artificial consciousness? Or will there remain a difference between simulating and being a conscious system, because the right computations must be implemented in the right way? From the perspective of Karl Friston's free energy principle, self-organising systems (such as living organisms) share a set of properties that could be realised in artificial systems, but are (...) not instantiated by computers with a classical (von Neumann) architecture. I argue that at least one of these properties, viz. a certain kind of causal flow, can be used to draw a distinction between systems that merely simulate, and those that actually replicate consciousness. Since this property is instantiated by all systems that conform to the free energy principle (not just conscious beings), the account on offer here can be extended to draw a distinction between simulating and being a certain type of system, more generally. In particular, this may inform meta-ethical accounts of artificial moral status and artificial moral agency. (shrink)

It is most likely for anyone to ask himself at least once if it would be possible to live in a dream? Questioning the fabric of “reality” we live in consciously was one of the main doubts man ever had. It is so likely for us to answer positively to it due to so many factors; starting from the many and various facets of reality each individual envision the world, from the enormous differences we all have while perceiving and defining (...) the reality, etc. That is why, at the conscious level, life seems almost like a dream in a dream, always hoping to wake up from the negative, unwanted version of it. That is why my assertion here, based on latest theories on consciousness and AI, aim to say that we live in between reality and dream, being “conscious” of ourselves, but not really wanting to be “aware” of what is really going on with us. Living as a human is not a path towards improvement in the way of getting rid of subjectiveness and valorization because these so-called errors make the most of human living. (shrink)

I argue that consciousness is an aspect of an agent's intelligence, hence of its ability to deal adaptively with the world. In particular, it allows for the possibility of noting and correcting the agent's errors, as actions performed by itself. This in turn requires a robust self-concept as part of the agent's world model; the appropriate notion of self here is a special one, allowing for a very strong kind of self-reference. It also requires the capability (...) to come to see that world model as residing in its belief base , while then representing the actual world as possibly different, i.e., forming a new world-model. This suggests particular computational mechanisms by which consciousness occurs, ones that conceivably could be discovered by neuroscientists, as well as built into artificial systems that may need such capabilities. Consciousness, then, is not an epiphenomenon at all, but rather a key part of the functional architecture of suitably intelligent agents, hence amenable to study as much as any other architectural feature. I also argue that ignorance of how subjective states could be essentially functional does not itself lend credibility to the view that such states are not essentially functional; the strong self-reference proposal here is one possible functional explanation of consciousness. (shrink)

Based on results from evolutionary psychology, we discuss important functions that can be served by consciousness in autonomous robots. These include deliberately controlled action, conscious awareness, self-awareness, metacognition, and ego consciousness. We distinguish intrinsic intentionality from consciousness, but argue it is also important to understanding robot cognition. Finally, we explore the Hard Problem for robots from the perspective of the theory of protophenomena.

Abstract. Following the tracks of Ryle and based upon the theory of complex systems, we shall develop a characterization of action-based consciousness as an embodied, embedded, selforganized process in which action and dispositions occupy a special place. From this perspective, consciousness is not a unique prerogative of humans, but it is spread all around, throughout the evolution of life. We argue that artificial systems such as robots currently lack the genuine embodied embeddedness that allows the type of (...) self-organization that is relevant to consciousness. -/- Sommario. Seguendo la linea tracciata da Ryle e basata sulla teorie dei sistemi complessi, svilupperemo una caratterizzazione della coscienza basata sull’azione come un processo incarnato, situato e auto organizzante nel quale le azioni e le disposizioni occupano un ruolo decisivo. Da questo punto di vista, la coscienza non è una prerogativa esclusiva degli esseri umani, ma è diffusa nel mondo naturale grazie ai processi evolutivi. Noi sosteniamo che i sistemi artificiali come i robot attualmente sono carenti del tipo di relazione con la corporeità e con l’ambiente che consente quel tipo di auto-organizzazione indispensabile per l’emergenza della coscienza. (shrink)

In what ways should we include future humanoid robots, and other kinds of artificial agents, in our moral universe? We consider the Organic view, which maintains that artificial humanoid agents, based on current computational technologies, could not count as full-blooded moral agents, nor as appropriate targets of intrinsic moral concern. On this view, artificial humanoids lack certain key properties of biological organisms, which preclude them from having full moral status. Computationally controlled systems, however advanced in their cognitive (...) or informational capacities, are, it is proposed, unlikely to possess sentience and hence will fail to be able to exercise the kind of empathic rationality that is a prerequisite for being a moral agent. The organic view also argues that sentience and teleology require biologically based forms of self-organization and autonomous self-maintenance. The organic view may not be correct, but at least it needs to be taken seriously in the future development of the field of Machine Ethics. (shrink)

We propose four policies of ethical design of human-grade Artificial Intelligence. Two of our policies are precautionary. Given substantial uncertainty both about ethical theory and about the conditions under which AI would have conscious experiences, we should be cautious in our handling of cases where different moral theories or different theories of consciousness would produce very different ethical recommendations. Two of our policies concern respect and freedom. If we design AI that deserves moral consideration equivalent to that of (...) human beings, that AI should be designed with self-respect and with the freedom to explore values other than those we might impose. We are especially concerned about the temptation to create human-grade AI pre-installed with the desire to cheerfully sacrifice itself for its creators’ benefit. (shrink)

In this article I suggest how we might conceptualize some kind of artificial consciousness as an ultimate development of Artificial Life. This entity will be embodied in some sort of constructed (biological or non-biological) body. The contention is that consciousness within self-organized entities is not only possible but inevitable. The basic sensory and interactive processes by which an organism operates within an environment are such as to be the basic processes that are necessary for (...) class='Hi'>consciousness. I then look at likely criteria for consciousness, and point to an architecture of the cognitive which maps onto the physiological layer, the brain. While evolutionary algorithms and neural nets will be at the heart of the production of artificial intelligences there is a particular architectural organization that may be necessary in the production of conscious artefacts. This involves the operations of multiple layers of feedback loops in the anatomy of the brain, in the social construction of the contents of consciousness and in particular in the self-regulation necessary for the continued operation of metabolically organized systems. Finally I make some comments on the ethics of such a procedure. (shrink)

Setting aside the problems of recognising consciousness in a machine, this article considers what would be needed for a machine to have human-like conscious- ness. Human-like consciousness is an illusion; that is, it exists but is not what it appears to be. The illusion that we are a conscious self having a stream of experi- ences is constructed when memes compete for replication by human hosts. Some memes survive by being promoted as personal beliefs, desires, opinions and (...) pos- sessions, leading to the formation of a memeplex (or selfplex). Any machine capa- ble of imitation would acquire this type of illusion and think it was conscious. Robots that imitated humans would acquire an illusion of self and consciousness just as we do. Robots that imitated each other would develop their own separate languages, cultures and illusions of self. Distributed seflplexes in large networks of machines are also possible. Unanswered questions include what remains of consciousness without memes, and whether artificial meme machines can ever transcend the illusion of self consciousness. (shrink)

The logical problem of artificial intelligence—the question of whether the notion sometimes referred to as ‘strong’ AI is self-contradictory—is, essentially, the question of whether an artificial form of life is possible. This question has an immediately paradoxical character, which can be made explicit if we recast it (in terms that would ordinarily seem to be implied by it) as the question of whether an unnatural form of nature is possible. The present paper seeks to explain this paradoxical (...) kind of possibility by arguing that machines can share the human form of life and thus acquire human mindedness, which is to say they can be intelligent, conscious, sentient, etc. in precisely the way that a human being typically is. (shrink)

Background: Alexithymia is a personality trait which is characterized by an inability to identify and describe conscious emotions of oneself and others.Aim: The present study aimed to determine whether various measures of mental health, interoception, psychological flexibility, and self-as-context, predicted through linear associations alexithymia as an outcome. This also included relevant mediators and non-linear predictors identified for particular sub-groups of participants through cluster analyses of an Artificial Neural Network output.Methodology: Two hundred and thirty participants completed an online survey (...) which included the following questionnaires: Toronto alexithymia scale; Acceptance and Action Questionnaire 2 ; Positive and Negative Affect Scale, Depression, Anxiety, and Stress Scale 21 ; Multidimensional Assessment of Interoceptive Awareness ; and the Self-as-Context scale. A stepwise backwards linear regression and mediation analysis were performed, as well as a cluster analysis of the non-linear ANN upper hidden layer output.Results: Higher levels of alexithymia were associated with increased psychological inflexibility, lower positive affect scores, and lower interoception for the subscales of “not distracting” and “attention regulation.” SAC mediated the relation between emotional regulation and total alexithymia. The ANNs accounted for more of the variance than the linear regressions, and were able to identify complex and varied patterns within the participant subgroupings.Conclusion: The findings were discussed within the context of developing a SAC processed-based therapeutic model for alexithymia, where it is suggested that alexithymia is a complex and multi-faceted condition, which requires a similarly complex, and process-based approach to accurately diagnose and treat this condition. (shrink)

Is there a theory that explains the essence of consciousness? Or is consciousness itself just an illusion? The "last great mystery of science," consciousness was excluded from serious research for most of the last century but is now a rapidly expanding area of study for students of psychology, philosophy, and neuroscience. Recently the topic has also captured growing popular interest. This groundbreaking book is the first volume to bring together all the major theories of consciousness studies--from (...) those rooted in traditional Western philosophy to those coming out of neuroscience, quantum theory, and Eastern philosophy. Broadly interdisciplinary, Consciousness: An Introduction is divided into nine sections that examine such topics as how subjective experiences arise from objective brain processes, the basic neuroscience and neuropathology of consciousness, altered states of consciousness, mystical experiences and dreams, and the effects of drugs and meditation. It also discusses the nature of self, the possibility of artificial consciousness in robots, and the question of whether or not animals are conscious. Enhanced by numerous illustrations and profiles of important researchers, the book also includes self-assessment questions, further reading suggestions, and practical exercises that help bring the subject to life. (shrink)

The currently leading cognitive theory of consciousness, Global Workspace Theory,1,2 postulates that the primary functions of consciousness include a global broadcast serving to recruit internal resources with which to deal with the current situation and to modulate several types of learning. In addition, conscious experiences present current conditions and problems to a "self" system, an executive interpreter that is identifiable with brain structures like the frontal lobes and precuneus.1Be it human, animal or artificial, an autonomous agent3 (...) is said to be functionally conscious if its control structure (mind) implements Global Workspace Theory and the LIDA Cognitive Cycle, which includes unconscious memory and control functions needed to integrate the conscious component of the system. We would therefore consider humans, many animals4 and even some virtual or robotic agents5,6 to be functionally conscious. Such entities may approach phenomenal consciousness, as found in human and other biological brains, as additional brain-like features are added.Here we argue that adding mechanisms to produce a stable, coherent perceptual field7 in a LIDA controlled mobile robot might provide a small but significant step toward phenomenal consciousness in machines.>8 We also propose that implementing several of the various notions of self in such a LIDA controlled robot may well prove another step toward phenomenal consciousness in machines. (shrink)

It is most likely for anyone to ask himself at least once if it would be possible to live in a dream? Questioning the fabric of “reality” we live in consciously was one of the main doubts man ever had. It is so likely for us to answer positive to it due to so many factors; starting from the many and various facets of reality each individual envision the world, from the enormous differences we all have while perceiving and defining (...) the reality, etc. That is why, at the conscious level, life seems almost like a dream in a dream, always hoping to wake up from the negative, unwanted version of it. That is why my assertion here, based on latest theories on consciousness and AI, aim to say that we live in between reality and dream, being “conscious” of ourselves, but not really wanting to be “aware” of what is really going on with us. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Artificial Virtues and the Equally Sensible Non-Knaves: A Response to Gauthier Annette C. Baier Gauthier's splendidly dialectical paper1 first sets out Hume's official Treatise account ofhow each personhas a self-interested motive to curb her natural but socially troublesome self-interest, by agreeing to the adoption ofthe artifices ofprivate property rights, transfer by consent, and promise (provided others are also agreeing to adopt them), andhow the sympathy-dependent moral (...) sentiment approves of such a redirection of"the interested passion." Enlightened self-interest gives us the natural obligation tojustice; the fact that it is morally approved turns it into a moral obligation. Self-hatred for any breaches of the moral obligation may come in to bolster the self-interested motivation, and this will be helped along by the extra artifices employed by educators and politicians. So far so good. But now enters the sensible knave, who queries the initial assumption that each will in fact gain more by strict conformity to the rules of the Humean social artifices than by occasional carefully calculated and undetected breaches of them. If the knave is right, then the Treatise story ofhow reasonable self-interested people can get themselves to conscientiously respect property rights (including rights ofbarter), and to keep promises, is in trouble. Only by an erroneous calculation of their interest could they end with the motivation which Hume attributes to them, and finds to be morally approvable.Gauthier argues that there are indications even in the Treatise that Hume is aware ofthe flawed nature ofhis official account, since he attributes "sophistry" to some attempted justifications of honest behaviour, and attributes "feigned acts" of impossible willing to some conscientious promise-keepers. Gauthier finds Hume to have, in the Treatise, a second, less official story ofwhat it takes to be motivated to be just—that it takes error, and letting oneself be taken in by feignings and sophistry. In the Enquiry Concerning the Principles ofMorals this submerged account surfaces in the sensible knave's challenge and Hume's admission that his own answer will not be satisfactory to the knave. The charms of official Humeanjustice, Gauthierconcludes, are spurious, sincethe "anatomy" of the account of the rational motivation to be just is known to be unsound. "The sensible knave's message is thathuman society... lacks any moral foundation." Volume XVIII Number 2 429 ANNETTE C. BAIER This is a sombre tale. One of its unwelcome implications is that Hume himself, really believing that the knave is right, but unwilling tobe seen tohave the bad grace to "dehver a theory, however true which... leads to a practice dangerous and pernicious," is simply trying to "sink" the knave's truth in oblivion by creating a smoke-screen of insincere rhetoric about the greater delights of consciousness of integrity over the knave's satisfaction in his ill-gotten gains. So there really are two sombre tales—one, attributed to Hume, about justice, and one about Hume's dupUcity (or is it mere cynical frivolity?): Gauthier crafts both stories beautifully, directing our attention to bits ofHume's text injust the right order for his dramatic purposes. But is he giving us truth or fiction? I completely agree with Gauthier's version of Hume's official Treatise story, that the moral obligation to justice supervenes on the "natural obligation" for which Hume believes the natural motivation to be collectively redirected self- (or family) interest.2 1 agree that there are one or two passages, especially in the Treatise section, "Of the obUgation of promises," that seem to jar with this account, and which much somehow be explained. I agree that Hume believes that his reply to the knave is, from the knave's point ofview, unsatisfactory. Now for some disagreements. First, about Hume's reply to the knave.3From the viewpointofthevirtuous dues-payingmemberof"the party of humankind," Hume's is a perfectly satisfactory reply. It will be plain truth, for a person with the other Humean virtues (including equity, which is listed as a natural virtue),4 that justice will bring as great or greater good than would judicious injustice. Even if it would be "simply preposterous" to believe that the social order is dangerously threatened by any... (shrink)

The currently leading cognitive theory of consciousness, Global Workspace Theory,1,2 postulates that the primary functions of consciousness include a global broadcast serving to recruit internal resources with which to deal with the current situation and to modulate several types of learning. In addition, conscious experiences present current conditions and problems to a "self" system, an executive interpreter that is identifiable with brain structures like the frontal lobes and precuneus.1Be it human, animal or artificial, an autonomous agent3 (...) is said to be functionally conscious if its control structure (mind) implements Global Workspace Theory and the LIDA Cognitive Cycle, which includes unconscious memory and control functions needed to integrate the conscious component of the system. We would therefore consider humans, many animals4 and even some virtual or robotic agents5,6 to be functionally conscious. Such entities may approach phenomenal consciousness, as found in human and other biological brains, as additional brain-like features are added.Here we argue that adding mechanisms to produce a stable, coherent perceptual field7 in a LIDA controlled mobile robot might provide a small but significant step toward phenomenal consciousness in machines.>8 We also propose that implementing several of the various notions of self in such a LIDA controlled robot may well prove another step toward phenomenal consciousness in machines. (shrink)

This comprehensive analysis dives deep into the intricate interplay between artificial intelligence (AI) and human agency, examining the remarkable capabilities and inherent limitations of large language models (LLMs) such as GPT-3 and ChatGPT. The paper traces the complex trajectory of AI's evolution, highlighting its operation based on statistical pattern recognition, devoid of self-consciousness or innate comprehension. As AI permeates multiple spheres of human life, it raises substantial ethical, legal, and societal concerns that demand immediate attention and deliberation. (...) The metaphorical illustration of humans as “shepherds” of AI, coupled with a thought-provoking examination of “agency without intelligence,” engenders deep reflections on the future of human-AI interplay and the associated philosophical, ethical, and practical ramifications. The paper further elucidates critical challenges associated with AI, such as ethical dilemmas, “agency without intelligence,” the role of human oversight, and the environmental impact of AI technologies. In the pursuit of solutions, the paper maps prospective directions, emphasizing the need for robust AI policies, improved AI literacy, sustainable AI practices, and a continued dialogue on the multifaceted issues surrounding AI. Through a holistic exploration of AI, this paper underlines the necessity for a multidisciplinary, collaborative approach to chart an ethical, beneficial, and sustainable AI future, enabling society to harness the potential of AI responsibly while mitigating the associated risks. (shrink)

This paper argues that the many and various conceptions of consciousness propounded by cognitive scientists and philosophers can all be understood as constituted with reference to four fundamental sorts of criterion: epistemic (concerned with kinds of consciousness), semantic (dealing with orders of consciousness), physiological (reflecting states of consciousness), and pragmatic (seeking to capture types of consciousness). The resulting four-fold taxonomy, intended to be exhaustive, suggests that all of the distinct varieties of consciousness currently encountered (...) in cognitive neuroscience, the philosophy of mind, clinical psychology, and other related fields ultimately refer to a unified natural process, analysed under four general aspects. The proposed taxonomy will, it is hoped, possess sufficient clarity to serve as a sound theoretical framework for further scientific studies, and to count as a significant step in the direction of a properly formulated unified concept of consciousness. (shrink)

Our fascination with artificial intelligence (AI), robots and sentient machines has a long history, and references to such humanoids are present even in ancient myths and folklore. The advancements in digital and computational technology have turned this fascination into apprehension, with the machines often being depicted as a binary to the human. However, the recent domains of academic enquiry such as transhumanism and posthumanism have produced many a literature in the genre of science fiction (SF) that endeavours to alter (...) this antagonistic notion of AI. In his novel Klara and the Sun, Kazuo Ishiguro explores this notion of AI as a caring machine capable of nursing an ailing young girl back to health. Through this portrayal of AI as a sentient being capable of empathy and cognition, Ishiguro is attempting to usher in a new perception of AI: a posthuman perception that challenges the conventional notions of AI as a machine devoid of emotions. The novel further expands on the idea of self, soul and human consciousness and ponders on the question, what makes humans human, and if it is possible to imbibe these qualities onto an AI. Owing to the novelty of this notion, an unexplored avenue that deserves further exploration, this paper examines the plausibility of this new notion of AI through a careful exegesis of the novel. The paper also attempts to chart the impact of SF in society and culture. The study reveals a positive shift in perception towards AI, and there seems to be much scope for interdisciplinary and transdisciplinary research. (shrink)

I develop a multilevel, holistic view of persons, emphasizing embodiment, emotions, consciousness, and the social self. In successive sections I draw from six sources: 1. Theology. The biblical understanding of the unitary, embodied, social self gave way in classical Christianity to a body‐soul dualism, but it has been recovered by many recent theologians. 2. Neuroscience. Research has shown the localization of mental functions in regions of the brain, the interaction of cognition and emotion, and the importance of (...) social interaction in evolutionary history and child development. 3. Artificial intelligence. Some forms of robotics use embodied systems that learn by interacting with their environment, but the possibilities for emotion, socialization, and consciousness in robots remain problematic. 4. Relations between levels. Concepts that can help us relate studies of neurons and persons include the hierarchy of levels, the communication of information, thebehavior of dynamic systems, and epistemological and ontological emergence. 5. Philosophy of mind. Two‐aspect theories of the mind‐brain relation offer an alternative between the extremes of eliminative materialism and the thesis that consciousness is irreducible. 6. Process philosophy. I suggest that process thought provides a coherent philosophical framework in which these themes can be brought together. It combines dipolar monism with organizational pluralism, and it emphasizes embodiment, emotions, a hierarchy oflevels, and the social character of selfhood. (shrink)

Does artificial intelligence (AI) exhibit consciousness or self? While this question is hotly debated, here we take a slightly different stance by focusing on those features that make possible both, namely a basic or fundamental subjectivity. Learning from humans and their brain, we first ask what we mean by subjectivity. Subjectivity is manifest in the perspectiveness and mineness of our experience which, ontologically, can be traced to a point of view. Adopting a non-reductive neurophilosophical strategy, we assume (...) that the point of view exhibits two layers, a most basic neuroecological and higher order mental layer. The neuroecological layer of the point of view is mediated by the timescales of world and brain, as further evidenced by empirical data on our sense of self. Are there corresponding timescales shared with the world in AI and is there a point of view with perspectiveness and mineness? Discussing current neuroscientific evidence, we deny that current AI exhibits a point of view, let alone perspectiveness and mineness. We therefore conclude that, as per current state, AI does not exhibit a basic or fundamental subjectivity and henceforth no consciousness or self is possible in models such as ChatGPT and similar technologies. (shrink)

In the innovative and engaging _Philosophy, Literature and Understanding_, Jukka Mikkonen investigates a range of developments in multiple disciplines that have complicated traditional debates between cognitivists and non-cognitivists about literature. To avoid the extremes this debate has fallen into, Mikkonen develops a middle course that grounds the cognitive value of literature in its contributions to cultural and self-understanding. As part of this argument, Mikkonen offers an account of how literature can contribute to self-understanding via its narrative form despite (...) what he sees as deep differences between real-life and literary narratives. He concludes that literature can (obliquely) aid our understanding of emotions like grief due to their shared processual nature, and self-understanding generally through its artificiality, the awareness of which allows us to recognize and correct fictionalizing narrative tendencies in our life-narratives. While I agree with Mikkonen’s conclusions, I believe they are too modest and that he provides the resources to claim even greater cognitive benefits from literature. Focusing on what it means to ‘have a self-narrative’ and describing narrative work as it occurs both unreflectively and through self-conscious reflection, this paper argues that that the selectivity, interpretation, and revision said to fictionalize life-narratives are in fact critical to self-understanding, which requires imaginative engagement of the sort Mikkonen sees as characteristic of the practice of literature. This suggests additional and more direct potential cognitive benefits of literature for self-understanding than Mikkonen describes, strengthening and supporting his broader position. (shrink)

Over the coming decades, Artificial Intelligence will profoundly impact the way we live, work, wage war, play, seek a mate, educate our young, and care for our elderly. It is likely to greatly increase our aggregate wealth, but it will also upend our labor markets, reshuffle our social order, and strain our private and public institutions. Eventually it may alter how we see our place in the universe, as machines pursue goals independent of their creators and outperform us in (...) domains previously believed to be the sole dominion of humans. Whether we regard them as conscious or unwitting, revere them as a new form of life or dismiss them as mere clever appliances, is beside the point. They are likely to play an increasingly critical and intimate role in many aspects of our lives. The emergence of systems capable of independent reasoning and action raises serious questions about just whose interests they are permitted to serve, and what limits our society should place on their creation and use. Deep ethical questions that have bedeviled philosophers for ages will suddenly arrive on the steps of our courthouses. Can a machine be held accountable for its actions? Should intelligent systems enjoy independent rights and responsibilities, or are they simple property? Who should be held responsible when a self-driving car kills a pedestrian? Can your personal robot hold your place in line, or be compelled to testify against you? If it turns out to be possible to upload your mind into a machine, is that still you? The answers may surprise you. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Artificial Minds and the Dilemma of Personal IdentityChristian Coseru (bio)Artificial You: AI and the Future of Your Mind. By Susan Schneider. Princeton: Princeton University Press, 2019.I. IntroductionAll diurnal organisms are stirred to action by light, but as entomologists have long known, for nocturnal insects the pull of its radiance can also spell doom. The image of a moth drawn to flame is suggestive of the sort of (...) self-destructive behavior that poets have long used to maximum rhetorical effect: "Thus had the candle singed the moth" proclaims Portia in the Merchant of Venice, pitying the fate that befell Arragon. The deceptive lure of artificial lights, however, is no longer mere fodder for the poetic imagination. Ecologists are warning us that species accustomed to navigating by moon or starlight, from beetles to seals and sea turtles, are getting confused, or worse.1 And medical science is beginning to establish a link between night-time light exposure and various sleep and metabolic disorders.2 Yet our Promethean ingenuity is a sight to behold: fueled by illumination tropes as metaphors for awareness and understanding, our mastery of light and of the electromagnetic wave spectrum has brought forth technologies, from CT scans and electromicrography to myoelectric sensors and solid-state lighting, that inspire utopian visions of genetically engineered and neurally enhanced post-humans alongside dystopian fantasies of runaway cyborgs. Among these technologies, AI stands out as the shiny new object commanding our attention.The future envisioned as a result of these technological advancements now includes the prospect of artificial minds, minds that, if they were to come anywhere close to resembling ours, let alone to surpassing human intelligence, would pose serious existential and ethical challenges for humanity. Or so the story goes, if Susan Schneider's compelling foray into AI research is any indication. Indeed, Artificial You: AI and the Future of Your Mind (Schneider 2019) offers a philosophically savvy investigation of the debates that animate much of the contemporary fascination with the prospect of machine intelligence, which by some of the more optimistic [End Page 281] measures could be achieved within the lifetime of most millennials.3 As books aimed at a general audience pondering the promises and perils of superintelligent AI go, Artificial You succeeds precisely where most others falter: it brings conceptual clarity to often vague and nebulous claims by techno optimists about the impending emergence of consciousness from computational complexity, while at the same time offering a sober reminder that the technology underlying, say, artificial neural networks is far more advanced than most AI skeptics realize.I will not address Schneider's survey of the state of the art in AI research, which is succinct, informative, and for the most part illustrative of the transhumanist ethos she appears to embrace. Instead, I will focus on the problem of personal identity and the seemingly insurmountable challenges it raises for the prospect of radical human enhancement and synthetic consciousness. Specifically, I will argue that conceptions of personal identity rooted in psychological continuity akin to those proposed by Parfit and the Buddha may not provide the sort of grounding that many transhumanists chasing the dream of life extension think that they do if they rest upon ontologies that assume an incompatibility between identity and change. I will also suggest that process ontologies that take change to be primary, such as those that align with contemporary systems biology, offer a better way out of the personal identity dilemma. But the solution in this case, which regards biological organisms as processes rather than things, may constrain the possibility of biologically inspired superintelligent aliens (BISAs), which Schneider (following Bostrom 2014) posits as possibly the most common form of (extraterrestrial) superintelligence in the universe.II. Enhancement Beyond RecognitionPerhaps the central leitmotif of transhumanism is the idea of enhancement by means of current technologies such as genetic engineering and information technology as well as future ones such as nanotechnology and artificial intelligence. The range of enhancement options includes the extension of the human lifespan, the elimination of disease, and most importantly the augmentation of human intellectual, physical, and affective capacities (Bostrom 2003b). Further down the line, enhancement may move beyond merely augmenting existing... (shrink)

This chapter speculatively addresses the nature and effects of metaphorical views that a mind can intermittently use in thinking about itself and other minds, such as the view of mind as a physical space in which ideas have physical locations. Although such views are subjective, it is argued in this chapter that they are nevertheless part of the real nature of the conscious and unconscious mind. In particular, it is conjectured that if a mind entertains a particular (metaphorical) view at (...) a given time, then this activity could of itself cause that mind to become more similar in the short term to how it is portrayed by the view. Hence, the views are, to an extent, self-fulfilling prophecies. In these ways, metaphorical self-reflection, even when distorting and inaccurate, is speculatively an important aspect of the true nature of mind. The chapter also outlines a theoretical approach and related implemented system (ATT-Meta) that were designed for the understanding of metaphorical discourse but that have principles that could be at the core of metaphorical self-reflection in people or future artificial agents. (shrink)

Technology is part of all life forms. This does not mean that all technology is beneficial for life. Technological evolution in the human sphere holds promises to attain the status of singularity. This identifies the so-called Fourth Industrial Revolution. What is at stake includes the emergence of intelligent and conscious super computers and robots, conscious materialism, the possibility of human immortality and the emergence of the trans-human. In the ambit of a new artificial environment in which humans will live, (...) the question of being must be addressed again. How will all of this affect the question of being human and new conceptions of ‘self’? To what extent will the possibility of techno-religion replace traditional religions with its promise of eradicating poverty, illness and death? This article focuses on these and related issues to identify possibilities of a new artificially envisaged lifestyle. (shrink)

How are artificial intelligence and the strong claims made by their philosophical representatives to be understood and evaluated from a Kantian perspective? Conversely, what can we learn from AI and its functions about Kantian philosophy’s claims to validity? This volume focuses on various aspects, such as the self, the spirit, self-consciousness, ethics, law, and aesthetics to answer these questions.

The advent of the intelligent robot has occupied a significant position in society over the past decades and has given rise to new issues in society. As we know, the primary aim of artificial intelligence or robotic research is not only to develop advanced programs to solve our problems but also to reproduce mental qualities in machines. The critical claim of artificial intelligence advocates is that there is no distinction between mind and machines and thus they argue that (...) there are possibilities for machine ethics, just as human ethics. Unlike computer ethics, which has traditionally focused on ethical issues surrounding human use of machines, AI or machine ethics is concerned with the behaviour of machines towards human users and perhaps other machines as well, and the ethicality of these interactions. The ultimate goal of machine ethics, according to the AI scientists, is to create a machine that itself follows an ideal ethical principle or a set of principles; that is to say, it is guided by this principle or these principles in decisions it makes about possible courses of action it could takea. Thus, machine ethics task of ensuring ethical behaviour of an artificial agent. Although, there are many philosophical issues related to artificial intelligence, but our attempt in this paper is to discuss, first, whether ethics is the sort of thing that can be computed. Second, if we are ascribing mind to machines, it gives rise to ethical issues regarding machines. And if we are not drawing the difference between mind and machines, we are not only redefining specifically human mind but also the society as a whole. Having a mind is, among other things, having the capacity to make voluntary decisions and actions. The notion of mind is central to our ethical thinking, and this is because the human mind is self-conscious, and this is a property that machines lack, as yet. (shrink)

The Ouroboros Model features a biologically inspired cognitive architecture. At its core lies a self-referential recursive process with alternating phases of data acquisition and evaluation. Memory entries are organized in schemata. The activation at a time of part of a schema biases the whole structure and, in particular, missing features, thus triggering expectations. An iterative recursive monitor process termed "consumption analysis" is then checking how well such expectations fit with successive activations. Mismatches between anticipations based on previous experience and (...) actual current data are highlighted and used for controlling the allocation of attention. In case no directly fitting filler for an open slot is found, activation spreads more widely and includes data relating to the actor, and Higher-Order Personality Activation, HOPA, ensues. It is briefly outlined how the Ouroboros Model produces many diverse characteristics and thus addresses established criteria for consciousness. Coarse-grained relationships to selected previous conceptualizations of consciousness and a sketch of how the Ouroboros Model could shed light on current research themes in artificial general intelligence and consciousness conclude this paper. (shrink)

How does your mind work? How does your brain give rise to your mind? These are questions that all of us have wondered about at some point in our lives, if only because everything that we know is experienced in our minds. They are also very hard questions to answer. After all, how can a mind understand itself? How can you understand something as complex as the tool that is being used to understand it? This book provides an introductory and (...) self-contained description of some of the exciting answers to these questions that modern theories of mind and brain have recently proposed. Stephen Grossberg is broadly acknowledged to be the most important pioneer and current research leader who has, for the past 50 years, modelled how brains give rise to minds, notably how neural circuits in multiple brain regions interact together to generate psychological functions. This research has led to a unified understanding of how, where, and why our brains can consciously see, hear, feel, and know about the world, and effectively plan and act within it. The work embodies revolutionary Principia of Mind that clarify how autonomous adaptive intelligence is achieved. It provides mechanistic explanations of multiple mental disorders, including symptoms of Alzheimer's disease, autism, amnesia, and sleep disorders; biological bases of morality and religion, including why our brains are biased towards the good so that values are not purely relative; perplexing aspects of the human condition, including why many decisions are irrational and self-defeating despite evolution's selection of adaptive behaviors; and solutions to large-scale problems in machine learning, technology, and Artificial Intelligence that provide a blueprint for autonomously intelligent algorithms and robots. Because brains embody a universal developmental code, unifying insights also emerge about shared laws that are found in all living cellular tissues, from the most primitive to the most advanced, notably how the laws governing networks of interacting cells support developmental and learning processes in all species. The fundamental brain design principles of complementarity, uncertainty, and resonance that Grossberg has discovered also reflect laws of the physical world with which our brains ceaselessly interact, and which enable our brains to incrementally learn to understand those laws, thereby enabling humans to understand the world scientifically. Accessibly written, and lavishly illustrated, Conscious Mind/Resonant Brain is the magnum opus of one of the most influential scientists of the past 50 years, and will appeal to a broad readership across the sciences and humanities. (shrink)

I survey four categories of factors that might give a digital mind, such as an upload or an artificial general intelligence, an advantage over humans. Hardware advantages include greater serial speeds and greater parallel speeds. Self-improvement advantages include improvement of algorithms, design of new mental modules, and modification of motivational system. Co-operative advantages include copyability, perfect co-operation, improved communication, and transfer of skills. Human handicaps include computational limitations and faulty heuristics, human-centric biases, and socially motivated cognition. The shape (...) of hardware growth curves, as well as the ease of modifying minds, are found to have a major impact on how quickly a digital mind may take advantage of these factors. (shrink)

The function of the brain is intricately woven into the fabric of time. Functions such as (i) storing and accessing past memories, (ii) dealing with immediate sensorimotor needs in the present, and (iii) projecting into the future for goal-directed behavior are good examples of how key brain processes are integrated into time. Moreover, it can even seem that the brain generates time (in the psychological sense, not in the physical sense) since, without the brain, a living organism cannot have the (...) notion of past nor future. When combined with an evolutionary perspective, this seemingly straightforward idea that the brain enables the conceptualization of past and future can lead to deeper insights into the principles of brain function, including that of consciousness. In this paper, we systematically investigate, through simulated evolution of artificial neural networks, conditions for the emergence of past and future in simple neural architectures, and discuss the implications of our findings for consciousness and mind uploading. (shrink)

Consciousness has long been a subject of interest in philosophy and religion but only relatively recently has it become subject to scientific investigation. Now, more than ever before, we are beginning to understand this mental state. Developmental psychologists understand when we first develop a sense of self; neuropsychologists see which parts of the brain activate when we think about ourselves and which parts of the brain control that awareness. Cognitive scientists have mapped the circuitry that allows machines to (...) have some form of self awareness, and neuroscientists investigate similar circuitry in the human brain. Research that once was separate inquiries in discreet disciplines is converging. List serves and small conferences focused on consciousness are proliferating. New journals have emerged in this field. A huge number of monographs and edited treatises have recently been published on consciousness, but there is no recognized entry point to the field, no comprehensive summary. This encyclopedia is that reference. Organized alphabetically by topic, coverage encompasses a summary of major research and scientific thought regarding the nature of consciousness, the neural circuitry involved, how the brain, body, and world interact, and our understanding of subjective states. The work includes contributions covering neuroscience, psychology, philosophy, and artificial intelligence to provide a comprehensive backdrop to recent and ongoing investigations into the nature of conscious experience from a philosophical, psychological, and biological perspective. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Consciousness and Machines:A Commentary Drawing on Japanese PhilosophyS. D. Noam Cook (bio)Viewed from within the great unity of consciousness, thinking is a wave on the surface of a great intuition.Kitarō NishidaIntroductionRecent developments in AI have made the long-standing debate about what computers can and can't do a major public concern. What we understand the properties of such machines to be, and consequently how we design [End Page (...) 305] and deploy them, will increasingly shape how we live and how we understand ourselves. Thus, there is an urgent need for better understanding of these issues.Susan Schneider, in her book Artificial You: AI and the Future of Your Mind, offers an exceptionally careful and insightful examination of key issues entailed in how we understand AI and ourselves. One of her central concerns is how we might test for machine consciousness. Given the variations in design and function among current and projected AIs, Schneider sees no likely one-size-fits-all test. So, she offers a battery of different tests that she believes together will make such testing more reliable. This seems a wise approach, and reflects the conceptual and pragmatic care Schneider takes throughout the book.Similarly, it seems to me that the question of machine consciousness should also include various understandings of consciousness itself. What consciousness is taken to be has varied widely both historically and culturally. No commonly accepted single understanding has emerged, and may never emerge. Just as having a battery of tests might help us better assess possible machine consciousness, having different understandings of consciousness might give us a better understanding of what we are testing for. The two should work in tandem, each gauging and shaping the other.Like the development of computers themselves, the predominant thinking about AI has been shaped, in part, by key presuppositions of a scientific worldview, with its origins in Western thought and culture. Among these presuppositions are materialism, reductionism, and a primary focus on objective behavior. These are reflected in the common concern with observable behavior of physical aspects of the brain in efforts to understand human consciousness, which in turn has become a familiar model for work on machine consciousness. All this is important and valuable work. But, in the spirit of Schneider's cautions, it should not be taken as one-size-fits-all. Accordingly, I offer one view of consciousness from a different perspective.In what follows, I sketch out an understanding of consciousness that draws on Japanese philosophy, particularly that of the highly influential early twentieth-century Japanese philosopher Kitarō Nishida (1870–1945). I then explore how the tests for machine consciousness that Schneider proposes might be viewed from that perspective.Consciousness: A Perspective from Japanese PhilosophyConsciousness was a central concern for Nishida, whose philosophy is deeply informed by Japanese culture and by Zen theory and practice. As one might expect from such a philosopher, Nishida's exploration of consciousness is not concerned with properties of the brain, but with what we might discern through disciplined reflection on the experience of our own consciousness. Ultimately, he views consciousness as an organic whole [End Page 306] of systemically organized interrelationships of activities and sensations within our subjective experience. This may be understood by first considering 'nothingness'.For Nishida, nothingness does not suggest an ultimate and absolute vacuity, as is often understandably assumed. In Nishida's sense, it is a singular "place" that mirrors the multifaceted world of our common experience. In understanding this, I am told by native Japanese speakers that the English word 'nothingness' has an advantage over the Japanese equivalent, 'mu', in that 'nothingness' can usefully be broken down as 'nothing-ness'. This suggests that nothingness is a state of consciousness where what we commonly experience as distinct (self, other, world, blue, ache, joy, etc.) is indistinct, a state of unified experience. This is consciousness without our finding or discriminating in it the myriad "things" of common experience, but rather a "pure experience" of a singular whole. Nishida introduces his concept of "pure experience" as follows:To experience means to know facts just as they are, to know in accordance with facts by completely relinquishing one... (shrink)

This paper relates to a formal statement of the mechanisms that are thought minimally necessary to underpin consciousness. This is expressed in the form of axioms. We deem this to be useful if there is ever to be clarity in answering questions about whether this or the other organism is or is not conscious. As usual, axioms are ways of making formal statements of intuitive beliefs and looking, again formally, at the consequences of such beliefs. The use of this (...) style of exposition does not entail a claim to provide a mathematically rigorous formal deductive system. Conventional mathematical notation is used to achieve clarity, although this is elaborated with natural language in an attempt to reduce terseness. In our view, making the approach axiomatic is synonymous with building clear usable tests for consciousness and is therefore a central feature of the paper. The extended scope of this approach is to lay down some essential properties that should be considered when designing machines that could be said to be conscious. In the broader discussion about the nature of consciousness and its neurological mechanisms, it may seem to some that axiomatisation is premature and continues to beg many questions. However, the approach is meant to be open- ended so that others can build further axiomatic clarifications that address the very large number of questions which, in the search for a formal basis for consciousness, still remain to be answered. Of course, in discussions about consciousness many will also argue that the subject is not one that may ever be formally addressed by means of axioms. The view taken in this paper is 'let's try to do it and see how far it gets'. (shrink)

The study of consciousness has today moved beyond neurobiology and cognitive models. In the past few years, there has been a surge of research into various newer areas. The present article looks at the non-neurobiological and non-cognitive theories regarding this complex phenomenon, especially ones that self-psychology, self-theory, artificial intelligence, quantum physics, visual cognitive science and philosophy have to offer. Self-psychology has proposed the need to understand the self and its development, and the ramifications of (...) the self for morality and empathy, which will help us understand consciousness better. There have been inroads made from the fields of computer science, machine technology and artificial intelligence, including robotics, into understanding the consciousness of these machines and their implications for human consciousness. These areas are explored. Visual cortex and emotional theories along with their implications are discussed. The phylogeny and evolution of the phenomenon of consciousness is also highlighted, with theories on the emergence of consciousness in fetal and neonatal life. Quantum physics and its insights into the mind, along with the implications of consciousness and physics and their interface are debated. The role of neurophilosophy to understand human consciousness, the functions of such a concept, embodiment, the dark side of consciousness, future research needs and limitations of a scientific theory of consciousness complete the review. The importance and salient features of each theory are discussed along with certain pitfalls, if present. A need for the integration of various theories to understand consciousness from a holistic perspective is stressed. (shrink)

I show how a robot with what looks like a hard problem of consciousness might emerge from the earnest attempt to make a robot that is smart and self-reflective. This problem arises independently of any assumption to the effect that the robot is conscious, but deserves to be thought of as related to the human problem in virtue of the fact that (1) the problem is one the robot encounters when it tries to naturalistically reduce its own subjective (...) states (2) it seems incredibly difficult from the robot’s own naturalist perspective and, most importantly, (3) it invites the robot to engage in the exact same metaphysical responses as humans offer to the problem of consciousness. Despite the fact that it invites the robot to consider extravagant metaphysical solutions, the problem I explore is purely algorithmic. The robot cannot complete its naturalist physicalist reduction as a matter of algorithmic fact, whether or not the naturalist physicalist reduction would be correct as a matter of metaphysical fact. It is hoped that by reproducing the familiar seeming problem in an artificial context, a greater understanding of the human problem of consciousness can be achieved. (shrink)

C. A. J. Littlewood approaches Seneca's tragedies as Neronian literature rather than as reworkings of Attic drama, and emphasizes their place in the Roman world and in the Latin literary corpus. The Greek tragic myths are for Seneca mediated by non-dramatic Augustan literature. In literary terms Phaedra's desire, Hippolytus' innocence, and Hercules' ambivalent heroism look back through allusion to Roman elegy, pastoral, and epic respectively. Ethically, the artificiality of Senecan tragedy, the consciousness that its own dramatic worlds, events, and (...) people are literary constructs, responds to the contemporary Stoical dismissal of the public world as mere theatre. (shrink)