On the whole, the US Algorithmic Accountability Act of 2022 (US AAA) is a pragmatic approach to balancing the benefits and risks of automated decision systems. Yet there is still room for improvement. This commentary highlights how the US AAA can both inform and learn from the European Artificial Intelligence Act (EU AIA).

With the rapid advances in science and technology, Artificial Intelligence (AI) has been developing exponentially and transforming the world in ways we could never have envisioned. Its applications...

This study contributes to the constantly accumulating evidence on the effects of customer incivility (CI) on service employee exhaustion. Previous research has demonstrated that surface acting (SA) acts as a mediating variable in the relationship between CI and exhaustion. This study extended prior findings in two ways. The results of Study 1 (315 retail sales employees, 62.2% female) demonstrated that SA mediates the positive relationship between CI and exhaustion while controlling for employees’ trait positive and negative affectivity (NA). The results (...) of Study 2 (292 customer service representatives, 51% female) supported a moderated mediation model demonstrating that trait emotional intelligence (EI) buffers the direct and indirect (through SA) effects of CI on exhaustion. Specifically, it was found that employees exposed to many uncivil customer behaviors but high in trait EI reported using less SA and, thus, experienced fewer exhaustion symptoms than their low in trait EI counterparts. These results highlight EI as an important personal resource that mitigates the adverse effects of CI on service employees’ exhaustion, and suggest that organizations should consider implementing EI training programmes for their frontline service employees. (shrink)

Hauser considers John Searle's attempt to distinguish acts from movements. On Searle's account, the difference between me raising my arm and my arm's just going up (e.g., if you forcibly raise it), is the causal involvement of my intention to raise my arm in the former, but not the latter, case. Yet, we distinguish a similar difference between a robot's raising its arm and its robot arm just going up (e.g., if you manually raise it). Either robots are rightly credited (...) with intentions or it's not intention that distinguishes action from mere movement. In either case acts are attributable to robots. Since the truth of such attributions depends not on the speaker's "intentional stance" but on "intrinsic" features of the things they are not merely figurative "as if" attributions. Gunderson allows that internally propelled programmed devices (Hauser Robots) do act but denies that they have the mental properties such acts seem to indicate. Rather, given our intuitive conviction that these machines lack consciousness, such performances evidence the dementalizability of acts.Hauser replies that the performances in question provide prima facie warrant for attributions of mental properties that considerations of consciousness are insufficient to override. (shrink)

This paper describes a study of the effects of two acts of social intelligence, namely mimicry and social praise, when used by an artificial social agent. An experiment ( N = 50) is described which shows that social praise—positive feedback about the ongoing conversation—increases the perceived friendliness of a chat-robot. Mimicry—displaying matching behavior—enhances the perceived intelligence of the robot. We advice designers to incorporate both mimicry and social praise when their system needs to function as a social actor. Different ways (...) of implementing mimicry and praise by artificial social actors in an ambient persuasive scenario are discussed. (shrink)

By introducing the concept of “mental data,” Palermos (2023) highlights an underappreciated aspect of data ethics that policymakers would do well to heed. Sweeping artificial intelligence (AI) legi...

Artificial intelligence research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI technologies to facilitate criminal acts, term in this article AI-Crime. AIC is theoretically feasible thanks to published experiments in automating fraud targeted at social media users, as well as demonstrations of AI-driven manipulation of simulated markets. However, because AIC is still a relatively young and inherently (...) interdisciplinary area—spanning socio-legal studies to formal science—there is little certainty of what an AIC future might look like. This article offers the first systematic, interdisciplinary literature analysis of the foreseeable threats of AIC, providing ethicists, policy-makers, and law enforcement organisations with a synthesis of the current problems, and a possible solution space. (shrink)

In a paper that recently appeared in this journal, we proposed a model that aims at providing a comprehensive account of our ability to intelligently use tools, bridging sensorimotor and reasoning-based explanations of this ability. Central to our model is the notion of generalized motor programs for tool use, which we defined as a synthesis between classic motor programs, as described in the scientific literature, and Peircean habits. In his commentary, Osiurak proposes a critique of the notion of generalized motor (...) program, and suggests that the limitations of our model can be solved by integrating it with the view that motor programs are generated by a previous mechanical reasoning, independent from sensorimotor knowledge. Here we reply that while on the one hand our reference to Peircean habits gets over the temptation to consider motor programs as fixed internal entities, it also rejects the view, endorsed by Osiurak, that intelligent practice is a mixture of antecedent abstract reasoning and subsequent motor execution. (shrink)

Human oversight has become a key mechanism for the governance of artificial intelligence (“AI”). Human overseers are supposed to increase the accuracy and safety of AI systems, uphold human values, and build trust in the technology. Empirical research suggests, however, that humans are not reliable in fulfilling their oversight tasks. They may be lacking in competence or be harmfully incentivised. This creates a challenge for human oversight to be effective. In addressing this challenge, this article aims to make three contributions. (...) First, it surveys the emerging laws of oversight, most importantly the European Union’s Artificial Intelligence Act (“AIA”). It will be shown that while the AIA is concerned with the competence of human overseers, it does not provide much guidance on how to achieve effective oversight and leaves oversight obligations for AI developers underdefined. Second, this article presents a novel taxonomy of human oversight roles, differentiated along whether human intervention is constitutive to, or corrective of a decision made or supported by an AI. The taxonomy allows to propose suggestions for improving effectiveness tailored to the type of oversight in question. Third, drawing on scholarship within democratic theory, this article formulates six normative principles which institutionalise distrust in human oversight of AI. The institutionalisation of distrust has historically been practised in democratic governance. Applied for the first time to AI governance, the principles anticipate the fallibility of human overseers and seek to mitigate them at the level of institutional design. They aim to directly increase the trustworthiness of human oversight and to indirectly inspire well-placed trust in AI governance. (shrink)

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

In How We Get Along, J. David Velleman argues for two related theses: first, that ‘making sense’ of oneself to oneself and others is a constitutive aim of action; second, that this fact about action grounds normativity. Examining each thesis in turn, I argue against the first that an agent may deliberately act in ways which make sense in terms of neither her self-conception nor others' conceptions of her. Against the second thesis, I argue that some vices are such that (...) the agents concerned would make more sense to neither themselves nor others if they were to reform, and, furthermore, that an agent may make more sense to herself and others by becoming more, rather than less, vicious. I conclude that both theses should be rejected. (shrink)

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

Artificial Intelligence research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI technologies to facilitate criminal acts, term in this chapter AI-Crime. AIC is theoretically feasible thanks to published experiments in automating fraud targeted at social media users, as well as demonstrations of AI-driven manipulation of simulated markets. However, because AIC is still a relatively young and inherently (...) interdisciplinary area—spanning socio-legal studies to formal science—there is little certainty of what an AIC future might look like. This chapter offers the first systematic, interdisciplinary literature analysis of the foreseeable threats of AIC, providing ethicists, policy-makers, and law enforcement organisations with a synthesis of the current problems, and a possible solution space. (shrink)

Departing from popular imaginations around artificial intelligence (AI), this article engages in the I in the AI acronym but from perspectives outside of mathematics, computer science and machine learning. When intelligence is attended to here, it most often refers to narrow calculating tasks. This connotation to calculation provides AI an image of scientificity and objectivity, particularly attractive in societies with a pervasive desire for numbers. However, as is increasingly apparent today, when employed in more general areas of our messy socio-cultural (...) realities, AI- powered automated systems often fail or have unintended consequences. This article will contribute to this critique of AI by attending to Nicholas of Cusa and his treatment of intelligence. According to him, intelligence is equally dependent on an ability to handle the unknown as it unfolds in the present moment. This suggests that intelligence is organic which ties Cusa to more contemporary discussions in tech philosophy, neurology, evolutionary biology, and cognitive sciences in which it is argued that intelligence is dependent on having—and acting through—an organic body. Understanding intelligence as organic thus suggests an oxymoronic relationship to artificial. (shrink)

Traditionally, most of the research on occupational burnout has focused on organizational stressors, such as workload and time pressure, and has overlooked the emotional nature of customer service work and its effect on burnout. This study was designed to examine the effects of individuals’ affective traits and affective states on burnout. The main hypothesis of this study was that emotional intelligence acts as a moderator in the relationship between negative emotions felt by employees during their interactions with clients and emotional (...) exhaustion. A total of 137 service sector employees rated the extent to which they felt four positive emotions and four negative emotions while interacting with clients. The results indicated that negative affectivity was significantly associated with higher levels of emotional exhaustion, whereas high positive affectivity showed the reverse pattern. It was also observed that employees who declared greater intensity of negative emotions reported more symptoms of emotional exhaustion. However, as predicted, this effect was observed only among employees who were low in the trait of emotional intelligence. Negative emotions and emotional exhaustion were unrelated among employees who were high in trait emotional intelligence. (shrink)

Speech acts are a staple of everyday communicative life, but only became a topic of sustained investigation, at least in the English-speaking world, in the middle of the Twentieth Century.[1] Since that time “speech act theory” has been influential not only within philosophy, but also in linguistics, psychology, legal theory, artificial intelligence, literary theory and many other scholarly disciplines.[2] Recognition of the importance of speech acts has illuminated the ability of language to do other things than describe reality. In the (...) process the boundaries among the philosophy of language, the philosophy of action, the philosophy of mind and even ethics have become less sharp. In addition, an appreciation of speech acts has helped lay bare an implicit normative structure within linguistic practice, including even that part of this practice concerned with describing reality. Much recent research aims at an accurate characterization of this normative structure underlying linguistic practice. (shrink)

Accountability is a cornerstone of the governance of artificial intelligence (AI). However, it is often defined too imprecisely because its multifaceted nature and the sociotechnical structure of AI systems imply a variety of values, practices, and measures to which accountability in AI can refer. We address this lack of clarity by defining accountability in terms of answerability, identifying three conditions of possibility (authority recognition, interrogation, and limitation of power), and an architecture of seven features (context, range, agent, forum, standards, process, (...) and implications). We analyse this architecture through four accountability goals (compliance, report, oversight, and enforcement). We argue that these goals are often complementary and that policy-makers emphasise or prioritise some over others depending on the proactive or reactive use of accountability and the missions of AI governance. (shrink)

Marina Sbisà has long advocated that we think of the illocutionary force of a speech act in terms of the act’s (predictable) systematic effects on the normative relationship between a speaker and her audience. Building on this idea, I argue that the hypothesis of distinctive speech act norms can be used to explain how participants in a conversation coordinate the normative expectations they have of one another in conversation. Such an explanation earns its keep by explaining how speakers render themselves (...) illocutionarily intelligible to their audiences—thereby enabling us to articulate the sense of mutuality that characterizes speech exchanges. One important upshot of my reflections is that we should reject both Austin’s thesis that the successful performance of an illocutionary act depends on audience uptake and Sbisà’s claim that Austin’s thesis is required if we are to make sense of the illocutionary dimension of speech in terms of an act’s systematic effects on participants’ normative expectations of one another. (shrink)

What kind of activity are non-human animals capable of? A venerable tradition insists that lack of language confines them to ‘mere behaviour’. This article engages with this ‘lingualism’ by developing a positive, bottom-up case for the possibility of animal agency. Higher animals cannot just act, they can act intelligently, rationally, intentionally and for reasons. In developing this case I draw on the interplay of behaviour, cognition and conation, the unduly neglected notion of intelligence and its connection to rationality, the need (...) to recognize that reasons are objective conditions, and the difference between the ability to act for reasons and the capacity to reflect on reasons. (shrink)

Wittgenstein’s Private Language Argument holds that language requires rule-following, rule following requires the possibility of error, error is precluded in pure introspection, and inner mental life is known only by pure introspection, thus language cannot exist entirely within inner mental life. Fodor defends his Language of Thought program against the Private Language Argument with a dilemma: either privacy is so narrow that internal mental life can be known outside of introspection, or so broad that computer language serves as a counter-example. (...) I suggest that the developing field of artificial intelligence (deep learning neural networks) tends to vitiate Fodor’s defense and hence vindicate the Private Language Argument. The first horn of Fodor’s dilemma requires language to encompass genuinely internal mental life, i.e. non-projected intentional states, which are not exhibited in classical machine learning but only by deep learning neural networks (artificial intelligence). Such networks act as black boxes, however, whose state cannot be understood by tracking the changes in their supervenience bases without shared context, and that shared context introduces the possibility of error. The language of artificial intelligence is not private. (shrink)

Droit et complexité. Le rapprochement de ces deux mots pourrait passer pour incongru. L'idéal du droit ne tend-il pas, en effet, à la rigueur et à la clarté garantes de certitudes et d'efficacité? Cet ouvrage, tiré des travaux du colloque tenu à Brest en mars 2006 a pris un parti inverse en faisant le choix, d'une certaine façon pascalien, de dialoguer avec l'incertitude dans des échanges très ouverts qui ont confirmé l'ampleur du changement de perspectives sur le droit. Un changement (...) que traduit bien le vocabulaire : régulation, pluralisation des ordres normatifs, dissémination dans des réseaux, internormativité, droit de coordination, procéduralisation, ajustement, négociation, expérimentation, flexibilité d'un droit devenu " droit souple ", voire " droit soluble "... Le système semble s'être converti à la modestie en perdant non de sa massivité comme l'a récemment souligné le Conseil d'Etat, mais en perdant de sa monumentalité pyramidale intimidante au profit d'un plasma de normes de plus en plus imbriquées dans des rapports de complémentarité, de négociation, de synergie déployés dans la dimension horizontale. La frontière entre les différentes catégories de normes persiste certes, mais elle se brouille, vire au " flou ". Si bien que là où prévalaient des distinctions nettes et des normes chimiquement pures, stables, s'imposent désormais des alliages, des rapports d'interdépendance analogues aux fils de trame d'un tissu. Edgar Morin aime à rappeler que le mot complexe signifie " tisser ensemble " et il définit la complexité comme " un tissu [...] de constituants hétérogènes inséparablement associés ". (shrink)

In the debate on whether to ban LAWS, moral arguments are mainly used. One of these arguments, proposed by Sparrow, is that the use of LAWS goes hand in hand with the responsibility gap. Together with the premise that the ability to hold someone responsible is a necessary condition for the admissibility of an act, Sparrow believes that this leads to the conclusion that LAWS should be prohibited. In this article, it will be shown that Sparrow’s argumentation for both premises (...) is not convincing. If one interprets the thesis that responsibility (first premise) is necessary in a descriptive sense, this assertion clashes with military theory and practice. And even if you focus on the normative interpretation, that claim does not stand. The second premise for Sparrow’s conclusion, namely that you cannot hold anyone responsible for LAWS’ (mis)deeds, is based on the idea that control is a necessary condition for responsibility. It will be shown that this idea too is not correct, which means that Sparrow’s control argument does not do the work it should do. From this, we can conclude that Sparrow’s justification for his claim that LAWS should be banned is insufficient, and neither can we conclude that the thesis of a responsibility gap has in any case been undermined. However, it will also be argued that someone may be responsible for the actions of LAWS, or that it cannot be excluded that one can be held responsible. (shrink)

The EU Artificial Intelligence Act (AIA) defines four risk categories for AI systems: unacceptable, high, limited, and minimal. However, it lacks a clear methodology for the assessment of these risks in concrete situations. Risks are broadly categorized based on the application areas of AI systems and ambiguous risk factors. This paper suggests a methodology for assessing AI risk magnitudes, focusing on the construction of real-world risk scenarios. To this scope, we propose to integrate the AIA with a framework developed by (...) the Intergovernmental Panel on Climate Change (IPCC) reports and related literature. This approach enables a nuanced analysis of AI risk by exploring the interplay between (a) risk determinants, (b) individual drivers of determinants, and (c) multiple risk types. We further refine the proposed methodology by applying a proportionality test to balance the competing values involved in AI risk assessment. Finally, we present three uses of this approach under the AIA: to implement the Regulation, to assess the significance of risks, and to develop internal risk management systems for AI deployers. (shrink)

In emphasising improvement, smooth coping and success over variability and regression, skill theory has overlooked the processes performers at all levels develop and rely on for managing bodily and affective fluctuations, and their impact on skilled performance. I argue that responding to the instability and variability of unique bodily capacities is a vital feature of skilled action processes. I suggest that embodied intelligence – a term I use to describe a set of abilities to perceptively interpret and make use of (...) information from body, mind, environment and task requirements, and to modulate one’s focus, awareness and action strategies accordingly – is critical for performing well-learned skills in vulnerable situations. It is critical for staying safe. To investigate these components of skilled action, I employ a cognitive ethnographic method, combined with apprenticeship on the static trapeze, to produce two ‘experience near’ case studies. These document in-situ experiences of awareness, self-regulation and embodied intelligence. Both reveal strong connections between a reflective awareness of bodily vulnerability and variability, and self-regulatory processes – specifically, the down- and up-regulation of anxiety. I then reflect on these case studies in relation to a prospective sense of agency, the awareness of control acts that may lead to performance outcomes. With increased clarity on these features of embodied intelligence and attention during action, other researchers can build on this study to further probe and map the maintenance and functions of embodied intelligence in dealing with the instability of skills. (shrink)

Resumen: El presente trabajo analiza si los Sistemas de apoyo a la decisión (DSSs) y otros asistentes para su uso, como las Reflection machines o los Personal Assistants that Learn (PAL), contribuyen de hecho a una mejora cognitiva, como habitualmente se tiende a asumir. Es decir, se examina si su potencial para expandir e impulsar la acción de las facultades cognoscitivas se ve efectivamente actualizado y, en consecuencia, si sirven para reafirmar el sentido capacitante de la IA y la extensión (...) de la agencia del sujeto a través de ella. Para ello, se pone de manifiesto que el diseño y aplicación de estos sistemas están mediados por una comprensión del conocimiento que actúa a modo de marco que limita sus posibilidades de mejorar las capacidades cognoscitivas humanas. Se analizan las condiciones en que la mejora cognitiva es posible a través del uso de estos sistemas, que remiten a una aproximación integradora que no tiene en cuenta solo el factor tecnológico, sino que repara en cómo, en su uso, intervienen factores gnoseológicos, así como psicológicos y sociológicos, que median en la capacidad efectiva de estos sistemas de ampliar las facultades de conocimiento, y de los que las tecnologías se sirven para ejercer su influencia. Abstract: The present article questions whether Decision Support Systems (DSSs) and other assistants for their use, such as Reflection machines or Personal Assistants that Learn (PAL), do in fact contribute to cognitive enhancement, as it is usually taken for granted. In other words, it is analysed whether their potential to effectively expand or augment cognitive capacities is actualised and, therefore, if the capabilities and the agency of the person appear in fact extended through artificial intelligence. For that purpose, it is highlighted that the design and implementation of AI systems are dependent on a certain understanding of human knowledge that acts as a framework that limits their actual capacity to enhance the cognitive faculties of the mind. The conditions under which this cognitive enhancement is possible through these systems are analysed and require an integrative approach that not only takes technology into account but realises that, in its use, gnoseological, as well as psychological and sociological factors are involved and mediate in the actual capacity of these systems to extend cognitive functions. These factors are also crucial for these technologies to exert their influence. (shrink)

This paper explores aspects of GPT-3 that have been discussed as harbingers of artificial general intelligence and, in particular, linguistic intelligence. After introducing key features of GPT-3 and assessing its performance in the light of the conversational standards set by Alan Turing in his seminal paper from 1950, the paper elucidates the difference between clever automation and genuine linguistic intelligence. A central theme of this discussion on genuine conversational intelligence is that members of a linguistic community never merely respond “algorithmically” (...) to queries through a selective kind of pattern recognition, because they must also jointly attend and act with other speakers in order to count as genuinely intelligent and trustworthy. This presents a challenge for systems like GPT-3, because representing the world in a way that makes conversational common ground salient is an essentially collective task that we can only achieve jointly with other speakers. Thus, the main difficulty for any artificially intelligent model of conversation is to account for the communicational intentions and motivations of a speaker through joint attention. These joint motivations and intentions seem to be completely absent from the standard way in which systems like GPT-3 and other artificial intelligent systems work. This is not merely a theoretical issue. Since GPT-3 and future iterations of similar systems will likely be available for commercial use through application programming interfaces, caution is needed regarding the risks created by these systems, which pass for “intelligent” but have no genuine communicational intentions, and can thereby produce fake and unreliable linguistic exchanges. (shrink)

I argue that intending and acting belong to the same genus: intending is a kind of doing continuous in structure with intentional acting. Future-directed intending is not a truly separate phenomenon from either the intending in action or the acting itself. Ultimately, all intentions are in action, or better still, in extended courses of action. I show how the intuitive distinction between intending and acting is based on modeling the two phenomena on the extreme and limiting cases of an otherwise (...) continuous spectrum of the ways in which agents exercise rational active intelligent guidance in the pursuit of goals. I argue that diachronic intentional agency is better understood in terms of continuity and unity of courses of active and intelligent guidance, and that the distinction between intending to do something and doing it is only a derivative and context-dependent segmentation of these continuous courses of rational active intelligent guidance. (shrink)

The advancement of Artificial Intelligence (AI) poses challenges in the field of bioethics, especially concerning issues related to life and death. AI has permeated areas such as health and research, generating ethical dilemmas and questions about privacy, decision-making, and access to technology. Life and death have been recurring human concerns, particularly in connection with depression. AI has created systems like Thanabots or Deadbots, which digitally recreate deceased individuals and allow interactions with them. These systems rely on information generated by AI (...) users during their lifetime, raising ethical and emotional questions about the authenticity and purpose of these recreations. AI acts as a mediator between life, death, and the human being, enabling a new form of communication with the deceased. However, this raises ethical issues such as informed consent from users and the limits of digital recreation. Companies offer services like the Digital Resurrection of deceased individuals and the generation of hyper-realistic avatars. Still, concerns arise about the authenticity of these representations and their long-term emotional impact. Interaction with Thanabots may alter perceptions of death and finitude, leading to a potential “postmortal society” where death is no longer viewed as a definitive end. Nevertheless, this raises questions about the value of life and the authenticity of human experiences. AI becomes a bridge between the living and the dead, partially replacing rituals and mystical beliefs. As technology advances, there will be a need for greater transparency in interacting with AI systems and ethical reflections on the role of these technologies in shaping perceptions of life and death. Ultimately, the question arises of whether we should allow the dead to rest in peace and how to balance the pursuit of emotional relief with authenticity and respect for the memory of the deceased. A deeper ethical consideration is needed on how AI alters traditional notions of life, death, and communication in contemporary society. In this research, an interdisciplinary approach was utilized to conduct a comprehensive systematic review of the recent academic literature, followed by a detailed analysis of two key texts. Central ideas were extracted, and recurring themes were identified. Finally, a reflective analysis of the findings was conducted, yielding significant conclusions and recommendations for future research. (shrink)

In 2021, 193 Member States at UNESCO’s General Conference adopted the Recommendation on the Ethics of Artificial Intelligence as the first important step towards a future global standard-setting instrument on the subject. The text reflects an emerging consensus among the international community about the growing ethical concerns with artificial intelligence (AI). Among these concerns are also serious risks and dangers attributed to the manipulative effects of AI, which can be further exacerbated by the creative combination of AI with other innovative (...) technologies or applications, such as brain–computer interfaces (BCIs), functional magnetic resonance imaging (fMRI), robotics, and big data. The risks for individuals and society as a whole caused by manipulation through AI are already well known and have recently also been addressed by the European Union having released a proposal for an Artificial Intelligence Act (AIA). Among multiple risks related to AI, the AIA singles out the specific dangers related to AI systems that deploy “subliminal techniques beyond a person’s consciousness to materially distort a person’s behaviour in a manner that causes or is likely to cause that person or another person physical or psychological harm”. The present article thus aims to highlight the known and potential dangers related to AI systems manipulating human thoughts and behaviour through subliminal and supraliminal means and methods. To this end, it advocates the joint study of law and the senses captured by the concept of legal synaesthesia to correspond to the need for an interdisciplinary debate covering the complexity of the links between AI, related technologies, human perception based on the senses and the mind, as well as the role and instruments of law in the future organization of societies in this world. (shrink)

The EU proposal for the Artificial Intelligence Act (AIA) defines four risk categories: unacceptable, high, limited, and minimal. However, as these categories statically depend on broad fields of application of AI, the risk magnitude may be wrongly estimated, and the AIA may not be enforced effectively. This problem is particularly challenging when it comes to regulating general-purpose AI (GPAI), which has versatile and often unpredictable applications. Recent amendments to the compromise text, though introducing context-specific assessments, remain insufficient. To address this, (...) we propose applying the risk categories to specific AI scenarios, rather than solely to fields of application, using a risk assessment model that integrates the AIA with the risk approach arising from the Intergovernmental Panel on Climate Change (IPCC) and related literature. This model enables the estimation of the magnitude of AI risk by considering the interaction between (a) risk determinants, (b) individual drivers of determinants, and (c) multiple risk types. We use large language models (LLMs) as an example. (shrink)

Could an artificial intelligence become a legal person? As of today, this question is only theoretical. No existing computer program currently possesses the sort of capacities that would justify serious judicial inquiry into the question of legal personhood. The question is nonetheless of some interest. Cognitive science begins with the assumption that the nature of human intelligence is computational, and therefore, that the human mind can, in principle, be modelled as a program that runs on a computer. Artificial intelligence (AI) (...) research attempts to develop such models. But even as cognitive science has displaced behavioralism as the dominant paradigm for investigating the human mind, fundamental questions about the very possibility of artificial intelligence continue to be debated. This Essay explores those questions through a series of thought experiments that transform the theoretical question whether artificial intelligence is possible into legal questions such as, "Could an artificial intelligence serve as a trustee?" What is the relevance of these legal thought experiments for the debate over the possibility of artificial intelligence? A preliminary answer to this question has two parts. First, putting the AI debate in a concrete legal context acts as a pragmatic Occam's razor. By reexamining positions taken in cognitive science or the philosophy of artificial intelligence as legal arguments, we are forced to see them anew in a relentlessly pragmatic context. Philosophical claims that no program running on a digital computer could really be intelligent are put into a context that requires us to take a hard look at just what practical importance the missing reality could have for the way we speak and conduct our affairs. In other words, the legal context provides a way to ask for the "cash value" of the arguments. The hypothesis developed in this Essay is that only some of the claims made in the debate over the possibility of AI do make a pragmatic difference, and it is pragmatic differences that ought to be decisive. Second, and more controversially, we can view the legal system as a repository of knowledge-a formal accumulation of practical judgments. The law embodies core insights about the way the world works and how we evaluate it. Moreover, in common-law systems judges strive to decide particular cases in a way that best fits the legal landscape-the prior cases, the statutory law, and the constitution. Hence, transforming the abstract debate over the possibility of AI into an imagined hard case forces us to check our intuitions and arguments against the assumptions that underlie social decisions made in many other contexts. By using a thought experiment that explicitly focuses on wide coherence, we increase the chance that the positions we eventually adopt will be in reflective equilibrium with our views about related matters. In addition, the law embodies practical knowledge in a form that is subject to public examination and discussion. Legal materials are published and subject to widespread public scrutiny and discussion. Some of the insights gleaned in the law may clarify our approach to the artificial intelligence debate. (shrink)

With wit and intelligence, Leo Katz seeks to understand the basic rules and concepts underlying the moral, linguistic, and psychological puzzles that plague the criminal law. "_Bad Acts and Guilty Minds_... revives the mind, it challenges superficial analyses, it reminds us that underlying the vast body of statutory and case law, there is a rationale founded in basic notions of fairness and reason.... It will help lawyers to better serve their clients and the society that permits attorneys to hang out (...) their shingles."—Edward N. Costikyan, _New York Times Book Review_. (shrink)

We consider the Search for ExtraTerrestrial Intelligence (SETI) activities from a bioethical standpoint. In particular, we argue that there is a moral duty to search for other intelligent beings in the Universe. Some of them could – and are likely to be – morally enhanced in the sense that they are not only capable of unmistakable moral reasoning but are also capable of consistently acting upon the results of such deliberations. Even if the probability of finding such morally superior beings (...) is small, it is higher than zero in any case; in fact, our astrobiological knowledge suggests that this probability is significant. Hence, there are both deductive and inductive arguments for the proposition that our duty is to search for such morally superior extraterrestrial beings. In other words, there is a duty to undertake and support our SETI efforts. The argument to that effect runs parallel to some of the arguments deployed in current debates on human moral enhancement. (shrink)

This paper argues that intelligence can be approximated by the ability to produce accurate predictions. It is further argued that general intelligence can be approximated by context dependent predictive abilities combined with the ability to use working memory to abstract away contextual information. The flexibility associated with general intelligence can be understood as the ability to use selective attention to focus on specific aspects of sensory impressions to identify patterns, which can then be used to predict events in novel situations (...) and environments. The argumentation synthesizes Godfrey-Smith’s environmental complexity theory, adding the notion of niche broadness as well as changes concerning the view of cognition and control, and Hohwy’s predictive mind theory, making explicit the significance of accuracy as a composite of trueness and precision where the nervous system acts as a distributed controller motivating actions that keep the body in homeostasis. (shrink)

This paper argues that intelligence can be approximated by the ability to produce accurate predictions. It is further argued that general intelligence can be approximated by context dependent predictive abilities combined with the ability to use working memory to abstract away contextual information. The flexibility associated with general intelligence can be understood as the ability to use selective attention to focus on specific aspects of sensory impressions to identify patterns, which can then be used to predict events in novel situations (...) and environments. The argumentation synthesizes Godfrey-Smith’s environmental complexity theory, adding the notion of niche broadness as well as changes concerning the view of cognition and control, and Hohwy’s predictive mind theory, making explicit the significance of accuracy as a composite of trueness and precision where the nervous system acts as a distributed controller motivating actions that keep the body in homeostasis. (shrink)

""Catching Ourselves in the Act" is no less than an attempt to explain intelligence. Delightful how the author dismantles traditional views in.

In the classic Linguistic Communication and Speech Acts,Kent Bach and Robert M. Harnish advocated the idea that to perform an illocutionary actoften just means to express certain attitudes. The underlying definition of attitudeexpression, however, gives rise to serious problems because it requires intentions of a peculiarkind. Recently, Wayne Davis has proposed a different analysis of attitude expression whichis not subject to these difficulties and thus promises a more plausible account of illocutions.It will be shown, however, that this account is too (...) weak since it does not exclude cases wherethe utterer merely pretends to perform an illocutionary act. Davis' analysis also callsinto question a weaker doctrine widely held among speech act theorists by suggesting that, inorder to perform an illocutionary act, it is not even necessary to express mental states. (shrink)

Intelligent Transportation Systems are expected to automate how parking slots are booked by trucks. The intrinsic dynamic nature of this problem, the need of explanations and the inclusion of private data justify an agent-based solution. Agents solving this problem act with a Believe Desire Intentions reasoning, and are implemented with JASON. Privacy of trucks becomes protected sharing a list of parkings ordered by preference. Furthermore, the process of assigning parking slots takes into account legal requirements on breaks and driving time (...) limits. Finally, the agent simulations use the distances, the number of trucks and parkings corresponding to the proportions of the current European Union data. The performance of the proposed solution is tested in these simulations with three different distances against an alternative with complete knowledge. The difference in efficiency, the number of illegal breaks and the traveled distances are measured in them. Comparing the results, we can conclude that the nonprivate alternative is slightly better in performance while both alternatives do not produce illegal breaks. In this way the simulations show that the proposed privacy protection does not impose a relevant handicap in efficiency. (shrink)

Artificial intelligence and robotics is pervasive in daily life and set to expand to new levels potentially replacing human decision-making and action. Self-driving cars, home and healthcare robots, and autonomous weapons are some examples. A distinction appears to be emerging between potentially benevolent civilian uses of the technology (eg unmanned aerial vehicles delivering medicines), and potentially malevolent military uses (eg lethal autonomous weapons killing human com- batants). Machine-mediated human interaction challenges the philosophical basis of human existence and ethical conduct. Aside (...) from technical challenges of ensuring ethical conduct in artificial intelligence and robotics, there are moral questions about the desirability of replacing human functions and the human mind with such technology. How will artificial intelligence and robotics engage in moral reasoning in order to act ethically? Is there a need for a new set of moral rules? What happens to human interaction when it is mediated by technology? Should such technology be used to end human life? Who bears responsibility for wrongdoing or harmful conduct by artificial intelligence and robotics? -/- Whilst Kant may be familiar to international lawyers for setting restraints on the use of force and rules for perpetual peace, his foundational work on ethics provides an inclusive moral philosophy for assessing ethical conduct of individuals and states and, thus, is relevant to discussions on the use and development of artificial intelligence and robotics. His philosophy is inclusive because it incorporates justifications for morals and legitimate responses to immoral conduct, and applies to all human agents irrespective of whether they are wrongdoers, unlawful combatants, or unjust enemies. Humans are at the centre of rational thinking, action, and norm-creation so that the rationale for restraints on methods and means of warfare, for example, is based on preserving human dignity as well as ensuring conditions for perpetual peace among states. Unlike utilitarian arguments which favour use of autonomous weapons on the basis of cost-benefit reasoning or the potential to save lives, Kantian ethics establish non-consequentialist and deontological rules which are good in themselves to follow and not dependent on expediency or achieving a greater public good. -/- Kantian ethics make two distinct contributions to the debate. First, they provide a human-centric ethical framework whereby human exist- ence and capacity are at the centre of a norm-creating moral philosophy guiding our understanding of moral conduct. Second, the ultimate aim of Kantian ethics is practical philosophy that is relevant and applicable to achieving moral conduct. -/- I will seek to address the moral questions outlined above by exploring how core elements of Kantian ethics relate to use of artificial intelli- gence and robotics in the civilian and military spheres. Section 2 sets out and examines core elements of Kantian ethics: the categorical imperative; autonomy of the will; rational beings and rational thinking capacity; and human dignity and humanity as an end in itself. Sections 3-7 consider how these core elements apply to artificial intelligence and robotics with discussion of fully autonomous and human-machine rule-generating approaches; types of moral reasoning; the difference be- tween ‘human will’ and ‘machine will’; and respecting human dignity. (shrink)

Over the past five decades, I have been developing a distinctive view of free will according to which it requires that agents be to some degree ultimately responsible for the formation of their own wills. To act ‘of one's own free will’ in this sense is to act ‘from a will’ that is to some extent ‘of one's own free making’. A free will of this ultimate kind has been under attack in the modern era as obscure and unintelligible. In (...) this paper, I discuss the arguments for such a view and compare it to other contemporary views of free will and action. I then address criticisms that such a non‐determinist free will cannot be made intelligible or reconciled with modern science, does not allow sufficient agent control, reduces to mere chance or luck or randomness, leads to various regresses, or fails to account for moral responsibility, among other criticisms. (shrink)

When interacting with other people, we assume that they have their reasons for what they do and believe, and experience recognizable feelings and emotions. When people act from weakness of will or are otherwise irrational, what they do can still be comprehensible to us, since we know what it is like to fall for temptation and act against one’s better judgment. Still, when someone’s experiences, feelings and way of thinking is vastly different from our own, understanding them becomes increasingly difficult. (...) Delusions and psychosis are often seen as marking the end of intelligibility. In this paper, I argue first for the importance of seeing other people as intelligible as long as this is at all possible. Second, I argue, based on both previous literature and my own lived experience, that more psychotic phenomena than previously thought can be rendered at least somewhat intelligible. Besides bizarre experiences like illusions, hallucinations and intense feelings of significance, I also explain what it is like to lose one’s bedrock, and how this loss impacts which beliefs one has reason to reject. Finally, I give an inside account of some disturbances of reason, and show that there are important similarities between certain psychotic reasoning problems and common non-pathological phenomena. (shrink)

Descendre acheter le journal? Réflexion : vous délibérez, construisez un projet, argumentez. Décision prise, la volonté vous met debout. Alors, dès le premier pas, l'acte vient à la rencontre de l'action-projet qui agrégeait dans votre tête réflexion, délibération, argumentation, décision, volonté. L'acte est une aventure. Toute la réalité imprévisible du monde se trouvait là, en réserve, dont les créations intellectuelles de l'action escamotaient la part d'inconnu. On décide une action, c'est l'acte qu'on rencontre. Mais alors, pourquoi les deux mots sont-ils (...) communément employés l'un pour l'autre, obligeant à penser l'acte dans une réduction à l'action " dans la tête "? Tel est le sujet de ce livre magistral de Gérard Mendel qui prend la suite de La psychanalyse revisitée (1988) et La société n'est pas une famille (1992). A partir d'une lecture critique de l'œuvre des grands philosophes, d'Aristote à Habermas, en passant par Saint Augustin, Descartes ou Nietzsche, Gérard Mendel montre comment la naissance philosophique de l'être il y a vingt-cinq siècles a chassé l'acte de la réflexion intellectuelle. En s'appuyant sur une étude approfondie de l' " intelligence pratique " nourrie de son expérience de terrain sur le champ social et sur la relecture des travaux fondamentaux de Winnicott, il propose une nouvelle approche théorique du sujet et de l'acte. Loin du fantasme occidental d'une domination absolue de l'esprit sur la nature et la société, s'affirme alors l'idée d'un acte, pouvoir individuel et collectif en quête d'un rapport plus harmonieux avec la réalité qui, parce qu'elle résiste continûment, reste toujours aussi blessante pour le narcissisme humain. Cette réflexion passionnante, d'une écriture toujours claire, intéressera tous ceux qui ne se satisfont pas de la césure entre théorie et pratique dans la compréhension de l'activité humaine : psychanalystes, psychologues et philosophes, bien sûr, mais aussi travailleurs sociaux et sociologues. (shrink)