In recent years, artificial intelligence has made significant progress, leading to a wide variety of applications, such as speech recognition, product recommendations, language translation, and many other applications. Although gender equality and artificial intelligence can be considered separate fields, they are closely related and mutually influence each other. The purpose of this paper is to outline various aspects of relationship between gender equality and artificial intelligence, to identify interrelationship between them, and to present challenges and (...) possible solutions to problems arising from their connection. This text will present the issue of gender equality in the development of artificial intelligence, but also the impact of artificial intelligence on gender equality; challenges and possible solutions, successful examples and case studies, legislation and policies supporting gender balance in artificial intelligence, the impact of gender equality on quality and innovation in artificial intelligence; the future of dynamics of development of relationship of gender equality and artificial intelligence. (shrink)

The original edition of What Computers Can't Do comprised three roughly equal parts: (i) a harsh critical survey of the history and state of the art in AI, circa 1970; (ii) a brilliant philosophical expose of four hidden assumptions shoring up AI's rmsplaced optimism; and (iii) a much more tentative exploration of ways to think, about intelligence without those assumptions. Part I, because it was the most combative (and also the easiest to understand), got most of the attention. Also, (...) since that discussion was the most timely — hence the most quickly obsolete — it is what the excellent substantive introductions to the later editions.. (shrink)

Name any valued human trait—intelligence, wit, charm, grace, strength—and you will find an inexhaustible variety and complexity in its expression among individuals. Yet we insist that such diversity does not provide grounds for differential treatment at the most basic level. Whatever merit, blame, praise, love, or hate we receive as beings with a particular past and a particular constitution, we are always and everywhere due equal respect merely as persons. -/- But why? Most who attempt to answer this question (...) appeal to the idea that all human beings possess an intrinsic dignity and worth—grounded in our capacities, for example, to reason, reflect, or love—that raises us up in the order of nature. Andrea Sangiovanni rejects this predominant view and offers a radical alternative. -/- To understand our commitment to basic equality, Humanity without Dignity argues that we must begin with a consideration not of equality but of inequality. Rather than search for a chimerical value-bestowing capacity possessed to an equal extent by each one of us, we ought to ask: Why and when is it wrong to treat others as inferior? Sangiovanni comes to the conclusion that our commitment to moral equality is best explained by a rejection of cruelty rather than a celebration of rational capacity. He traces the impact of this fundamental shift for our understanding of human rights and the norms of anti-discrimination that underlie it. (shrink)

:Both egalitarianism and prioritarianism give value to equality. Prioritarianism has an additively separable value function whereas egalitarianism does not. I show that in some cases prioritarianism and egalitarianism necessarily have different implications: I describe two alternatives G and H such that egalitarianism necessarily implies G is better than H whereas prioritarianism necessarily implies G and H are equally good. I also raise a doubt about the intelligibility of prioritarianism.

Conversational artificial intelligence (CAI) presents many opportunities in the psychotherapeutic landscape—such as therapeutic support for people with mental health problems and without access to care. The adoption of CAI poses many risks that need in-depth ethical scrutiny. The objective of this paper is to complement current research on the ethics of AI for mental health by proposing a holistic, ethical, and epistemic analysis of CAI adoption. First, we focus on the question of whether CAI is rather a tool or (...) an agent. This question serves as a framework for the subsequent ethical analysis of CAI focusing on topics of (self-) knowledge, (self-)understanding, and relationships. Second, we propose further conceptual and ethical analysis regarding human-AI interaction and argue that CAI cannot be considered as an equal partner in a conversation as is the case with a human therapist. Instead, CAI’s role in a conversation should be restricted to specific functions. (shrink)

Democracy is valuable not only because it treats us equally but because it is intelligent. Democracies can make effective use of knowledge, engage in experimentation, utilise societal diversity, all the while motivating political leaders towards the common good. It is against the emergence of a new democratic scepticism, however, that this book defends the intelligence of democracy. Whether it be due to ignorant voters, irrational public debate, or disconnected politicians, a growing number now argue that democracies are destined to (...) make bad decisions. While these democratic sceptics see epistemic concerns as reasons for giving up on democracy, this book argues they are reasons to embrace it. Intelligent Democracy develops the first systemic account of democracy's epistemic value. Unlike approaches which focus on single institutions, this view conceptualises democracy as a network of actors which work together to produce epistemic benefits at the system level. While any one democratic body will be limited, this book analyses the divisions of labour within a broader deliberative system, and how best to combine inclusive elections, deliberative assemblies, random sortition, and the open public sphere. This systemic approach is shown to better explain democracy's epistemic value, while more adeptly responding to the challenges posed by the new democratic scepticism. It can demonstrate democracy's intelligence over regimes of epistocracy and political meritocracy which empower only the knowledgeable, but also overlooked proposals for granting greater powers to markets or polycentric governance. The result is a unique epistemic justification of democracy and a robust reply to democracy's critics. (shrink)

Egalitarians must address two questions: i. What should there be an equality of, which concerns the currency of the ‘equalisandum’; and ii. How should this thing be allocated to achieve the so-called equal distribution? A plausible initial composite answer to these two questions is that resources should be allocated in accordance with choice, because this way the resulting distribution of the said equalisandum will ‘track responsibility’ — responsibility will be tracked in the sense that only we will be responsible (...) for the resources that are available to us, since our allocation of resources will be a consequence of our own choices. But the effects of actual choices should not be preserved until the prior effects of luck in constitution and circumstance are first eliminated. For instance, people can choose badly because their choice-making capacity was compromised due to a lack of intelligence (i.e. due to constitutional bad luck), or because only bad options were open to them (i.e. due to circumstantial bad luck), and under such conditions we are not responsible for our choices. So perhaps a better composite answer to our two questions (from the perspective of tracking responsibility) might be that resources should be allocated so as to reflect people’s choices, but only once those choices have been corrected for the distorting effects of constitutional and circumstantial luck, and on this account choice preservation and luck elimination are two complementary aims of the egalitarian ideal. Nevertheless, it is one thing to say that luck’s effects should be eliminated, but quite another to figure out just how much resource redistribution would be required to achieve this outcome, and so it was precisely for this purpose that in 1981 Ronald Dworkin developed the ingenuous hypothetical insurance market argumentative device (HIMAD), which he then used in conjunction with the talent slavery (TS) argument, to arrive at an estimate of the amount of redistribution that would be required to reduce the extent of luck’s effects. However recently Daniel Markovits has cast doubt over Dworkin’s estimates of the amount of redistribution that would be required, by pointing out flaws with his understanding of how the hypothetical insurance market would function. Nevertheless, Markovits patched it up and he used this patched-up version of Dworkin’s HIMAD together with his own version of the TS argument to reach his own conservative estimate of how much redistribution there ought to be in an egalitarian society. Notably though, on Markovits’ account once the HIMAD is patched-up and properly understood, the TS argument will also allegedly show that the two aims of egalitarianism are not necessarily complementary, but rather that they can actually compete with one another. According to his own ‘equal-agent’ egalitarian theory, the aim of choice preservation is more important than the aim of luck elimination, and so he alleges that when the latter aim comes into conflict with the former aim then the latter will need to be sacrificed to ensure that people are not subordinated to one another as agents. I believe that Markovits’ critique of Dworkin is spot on, but I also think that his own positive thesis — and hence his conclusion about how much redistribution there ought to be in an egalitarian society — is flawed. Hence, this paper will begin in Section I by explaining how Dworkin uses the HIMAD and his TS argument to estimate the amount of redistribution that there ought to be in an egalitarian society — this section will be largely expository in content. Markovits’ critique of Dworkin will then be outlined in Section II, as will be his own positive thesis. My critique of Markovits, and my own positive thesis, will then make a fleeting appearance in Section III. Finally, I will conclude by rejecting both Dworkin’s and Markovits’ estimates of the amount of redistribution that there ought to be in an egalitarian society, and by reaffirming the responsibility-tracking egalitarian claim that choice preservation and luck elimination are complementary and not competing egalitarian aims. (shrink)

The book’s core argument is that an artificial intelligence that could equal or exceed human intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical reasons impossible. It offers two specific reasons for this claim: Human intelligence is a capability of a complex dynamic system—the human brain and central nervous system. Systems of this sort cannot be modelled mathematically in a way that allows them to operate inside a computer. In supporting their claim, the authors, Jobst Landgrebe and (...) Barry Smith, marshal evidence from mathematics, physics, computer science, philosophy, linguistics, and biology, setting up their book around three central questions: What are the essential marks of human intelligence? What is it that researchers try to do when they attempt to achieve "artificial intelligence" (AI)? And why, after more than 50 years, are our most common interactions with AI, for example with our bank’s computers, still so unsatisfactory? Landgrebe and Smith show how a widespread fear about AI’s potential to bring about radical changes in the nature of human beings and in the human social order is founded on an error. There is still, as they demonstrate in a final chapter, a great deal that AI can achieve which will benefit humanity. But these benefits will be achieved without the aid of systems that are more powerful than humans, which are as impossible as AI systems that are intrinsically "evil" or able to "will" a takeover of human society. (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)

Many artificial intelligence (AI) systems currently used for decision-making are opaque, i.e., the internal factors that determine their decisions are not fully known to people due to the systems’ computational complexity. In response to this problem, several researchers have argued that human decision-making is equally opaque and since simplifying, reason-giving explanations (rather than exhaustive causal accounts) of a decision are typically viewed as sufficient in the human case, the same should hold for algorithmic decision-making. Here, I contend that this (...) argument overlooks that human decision-making is sometimes significantly more transparent and trustworthy than algorithmic decision-making. This is because when people explain their decisions by giving reasons for them, this frequently prompts those giving the reasons to govern or regulate themselves so as to think and act in ways that confirm their reason reports. AI explanation systems lack this self-regulative feature. Overlooking it when comparing algorithmic and human decision-making can result in underestimations of the transparency of human decision-making and in the development of explainable AI that may mislead people by activating generally warranted beliefs about the regulative dimension of reason-giving. (shrink)

There are two opposing equally well-argued views on the emergence and development of all things: either the evolution of the world that led to the emergence of life and intelligence is something natural, or everything happened quite by accident and could have been different. It determines the aim and the tasks which are the emergence of intelligence can be considered as a certain stage of such a naturally unfolding evolutionary process, or it is the result of a coincidence. (...) Research methods are complex and is based on philosophicalanthropological and philosophical-cultural analysis of the problems of global evolutionism and the development of human intelligence in their dialectical unity.The principles of systematicity, objectivity, ascent from the abstract to the concrete, etc. are also used to solve specific research tasks. Research results: Analysis of the process of universal evolutionism shows that the general direction of the development of existence is the movement from the appearance of simple objects to the formation of the highest of the material structures known today, which are the bearer of intelligence in its biological forms. The author argues the position that further evolution, with a high probability, will occur as a transition from intelligence on organic carriers - the human mind - to artificial intelligence based on inorganics. Together or separately from the human mind, artificial intelligence has the ability to give a new impetus to the development of earthly civilization, penetration into deep space and the development of its limitless possibilities.Discussion. Opponents of the concept of global evolutionism were limited to the planetary scale and for the most part considered the universe as a whole infinite and stationary, and therefore devoid of history. However, it is more attractive to think that the development of the biosphere embodies a number of trends that affected long before the formation of the Earth and the solar system, and this direction is focused on creating an integrated theory of the past from the Big Bang to the present. Conclusion. The global evolution of all things moves in the direction from inorganics to organics - in the form of life and mind, and then - again to inorganics - in the form of artificial intelligence. There is a kind of denial of denial, the further steps of which, and even more so, the end result, can only be guessed. (shrink)

In our book, Why Machines Will Never Rule the World, Jobst Landgrebe and I argue that we can engineer machines that can emulate the behaviours only of simple systems, which means: only of those systems whose behaviour we can predict mathematically. The human brain is an example of a complex system, and thus its behaviour cannot be emulated by a machine. We use this argument to debunk the claims of those who believe that large language models are poised to achieve (...) a level of intelligence that will equal or even surpass that of the human brain. The essay was published under the title "Why Machines Will Never Rule the World". (shrink)

Our society is in the middle of the AI revolution. We discuss several applications of AI, in particular medical causality, where deep-learning neural networks screen through big data bases, extracting associations between a patient’s condition and possible causes. While beneficial in medicine, several questionable AI trading strategies have emerged in finance. Though advantages in many aspects of our lives, serious threats of AI exist. We suggest several regulatory measures to reduce these threats. We further discuss whether ‘full AI robots’ should (...) be programmed with a virtual consciousness and conscience. While this would reduce AI threats via motivational control, other threats such as the desire for AI—human socioeconomic equality could prove detrimental. (shrink)

Received by the British press with equal acclaim and indignation, this book sets out to define and defend high culture against the world of pop, corn, and popcorn. It shows just why culture matters in an age without faith, and gives an extended argument, drawing on philosophy, criticism, and anthropology, against the "post-modernist" world-view. Scruton offers a penetrating attack on deconstruction, on Foucault, on Nietzschean self-indulgence, and on the "culture of repudiation" which has infected the modern academy. But his book (...) is not only negative. It is a celebration of the true heroes of modern culture and a call to the higher life. The American edition of this famous and notorious work has been revised to take account of the controversy which it has inspired, and contains new material specially directed to Americans. (shrink)

This paper investigates the nature of dispositional properties in the context of artificial intelligence systems. We start by examining the distinctive features of natural dispositions according to criteria introduced by McGeer (2018) for distinguishing between object-centered dispositions (i.e., properties like ‘fragility’) and agent-based abilities, including both ‘habits’ and ‘skills’ (a.k.a. ‘intelligent capacities’, Ryle 1949). We then explore to what extent the distinction applies to artificial dispositions in the context of two very different kinds of artificial systems, one based on (...) rule-based classical logic and the other on reinforcement learning. Here we defend three substantive claims. First, we argue that artificial systems are not equal in the kinds of dispositional properties they instantiate. In particular, we show that logical systems instantiate merely object-centered dispositions whereas reinforcement learning systems allow for the instantiation of agent-based abilities. Second, we explore the similarities and differences between the agent-centered abilities of artificial systems and those of humans, especially as relates to the important distinction made in the human case between habits and skills/intelligent capacities. The upshot is that the agent-centered abilities of truly intelligent artificial systems are distinctive enough to constitute a third type of agent-based ability — blended agent-based ability — raising substantial questions as to how we understand the nature of their agency. Third, we explore one aspect of this problem, focussing on whether systems of this type are properly considered ‘responsible agents’, at least in some contexts and for some purposes. The ramifications of our analysis will turn out to be directly relevant to various ethical concerns of artificial intelligence. (shrink)

Using automated systems to avoid the need for human discretion in government contexts – a scenario we call ‘rule by automation’ – can help us achieve the ideal of a free and equal society. Drawing on relational theories of freedom and equality, we explain how rule by automation is a more complete realization of the rule of law and why thinkers in these traditions have strong reasons to support it. Relational theories are based on the absence of human domination (...) and hierarchy, which automation helps us achieve. Nevertheless, there is another understanding of relational theories where what matters is the presence of valuable relationships with those in power. Exploring this further might help us see when and why we should accept human discretion. (shrink)

Digital health and welfare technologies and artificial intelligence are proposed to revolutionise healthcare systems around the world by enabling new models of care. Digital health and welfare technologies enable remote monitoring and treatments, and artificial intelligence is proposed as a means of prediction instead of reaction to individuals’ health and as an enabler of proactive care and rehabilitation. The digital transformation not only affects hospital and primary care but also how the community meets older people's needs. Community care (...) is often provided by informal and formal care‐givers, most of whom are women. Gender equality is at the heart of many national strategies, but do all genders have equal rights, responsibilities and opportunities when it comes to community care and its digital transformation? The digital transformation of community care is entangled with how care is provided to older people and the working conditions of community‐care professionals. Current and, even more so, future community‐care systems are and will be partly constituted by networks of technological artefacts. These health and welfare technological artefacts and the discourse surrounding them mediate and constitute social relations and community care. This article looks into how health and welfare technology and artificial intelligence‐based devices and systems mediate and constitute gender relations in community care and presents an argument for reflexivity, embodiment, pluralism, participation and ecology as an alternative strategy to treating community care as one‐size‐fit‐all and being blind to gender‐related issues. (shrink)

This article links three rarely considered dimensions related to the implementation of artificial intelligence (AI)-based technologies in the form of predictive policing and discusses them in relation to liberal democratic societies. The three dimensions are the theoretical embedding and the workings of AI within anomic conditions (1), potential normative disorders emerging from them in the form of thinking errors and discriminatory practices (2) as well as the consequences of these disorders on the psychosocial, and emotional level (3). Against this (...) background, AI-induced anomie is conceptualized as a field of tension that refers to a systematic deterioration of democratic norms that are supposed to create ‘normative orders’, but which, when implemented through AI-supported measures, can reproduce existing discriminations, and establish new kinds of discriminatory relations. In future, these AI-based measures have the potential to lead to opposing normative disorders by emerging in the form of false social norms to an equally false Second Nature. They deprive persons involved of the possibility of individual appropriation of social norms and the specific emotional development associated with it. (shrink)

Uncovering the world’s ethnic inequalities is hampered by a lack of ethnicity-annotated datasets. Name-ethnicity classifiers (NECs) can help, as they are able to infer people’s ethnicities from their names. However, since the latest generation of NECs rely on machine learning and artificial intelligence (AI), they may suffer from the same racist and sexist biases found in many AIs. Therefore, this paper offers an algorithmic fairness audit of three NECs. It finds that the UK-Census-trained EthnicityEstimator displays large accuracy biases with (...) regards to ethnicity, but relatively less among gender and age groups. In contrast, the Twitter-trained NamePrism and the Wikipedia-trained Ethnicolr are more balanced among ethnicity, but less among gender and age. We relate these biases to global power structures manifested in naming conventions and NECs’ input distribution of names. To improve on the uncovered biases, we program a novel NEC, N2E, using fairness-aware AI techniques. We make N2E freely available at www.name-to-ethnicity.com. (shrink)

Background The twenty first- century marked the exponential growth in the use of intelligent robots and artificial intelligent in nursing compared to the previous decades. To the best of our knowledge, this article is first in responding to question, “Can nurses in clinical practice ascribe responsibility to intelligent robots and artificial intelligence when they commit errors?”. Purpose The objective of this article is to present two worldviews (anthropocentrism and biocentrism) in responding to the question at hand chosen based on (...) the roles of the entities involved in the use of intelligent robots and artificial intelligence in nursing. Methods The development of this article was motivated by the immense discoveries, the current landscape, and nurses’ role in relation to advanced technologies in healthcare. The paper begins the discussion by situating the use of intelligent robots and artificial intelligence in nursing and healthcare and presenting its ethical and moral implications. Then, we presented the two worldviews: anthropocentrism and biocentrism which are used to respond to the task at hand. Results Anthropocentrism puts humans in the center in terms of moral standing and thus responsibility rests on them alone. Biocentrism declares that all creations deserve moral consideration and thus responsibility is equally allocated to all entities. Within these two worldviews, consensus development was offered to resolve these issues. Consensus provides clarity and democracy between and among the societies. Conclusions The findings of this article can be basis in (1) instituting mechanisms of robust peer review and a rigorous series of simulation before adopting or implementing intelligent robots and artificial intelligence in clinical practice; (2) education and training of highly specialized nurse practitioners who can be focal persons in responding to ethical and moral issues with regard to these advanced technologies; and (3) harmonization of robotics research, manufacturing, and clinical practice. (shrink)

All humans have an equal basic moral status. They possess the same fundamental rights, and the comparable interests of each person should count the same in calculations that determine social policy. Neither supposed racial differences, nor skin color, sex, sexual orientation, ethnicity, intelligence, nor any other differences among humans negate their fundamental equal worth and dignity. These platitudes are virtually universally affirmed. A white supremacist racist or an admirer of Adolf Hitler who denies them is rightly regarded as beyond (...) the pale of civilized dialogue. However, a very simple line of argument developed by Peter Singer challenges our understanding of these platitudes and forces us to rethink the basis and nature of the moral equality of all humans. What I call the “Singer Problem” arises if one accepts that the morally significant cognitive capacities that are relevant to the determination of the fundamental moral status of a being vary from individual to individual by degree. The problem is to specify a moral principle determining fundamental moral status that assigns a superior status to humans compared to other animals on the basis of the superior cognitive capacities of humans but also assigns all human persons an equal fundamental moral status regardless of their differing cognitive capacities. More broadly posed, the problem is to specify moral principles that yield intuitively satisfactory implications for the treatment of human individuals and other individual animals given that cognitive capacities differ across species and individuals. A search for a resolution of the Singer problem leads to disappointing results. (shrink)

Construction cost estimation is one of the essential processes in construction management. Project cost is a complex engineering problem due to various factors affecting the construction industry. Accurate cost estimation is important in construction management and significantly impacts project performance. Artificial intelligence models have been effectively implemented in construction management studies in recent years owing to their capability to deal with complex problems. In this research, extreme gradient boosting is developed as an advanced input selector algorithm and coupled with (...) three AI models, including random forest, artificial neural network, and support vector machine for cost estimation. Datasets were gathered based on a survey conducted on 90 building projects in Iraq. Statistical indicators and graphical methods were used to evaluate the developed models. Several input predictors were used, and XGBoost highlighted inflation as the most crucial parameter. The results indicated that the best prediction was attained by XGBoost-RF using six input parameters, with r-squared and the mean absolute percentage error equal to 0.87 and 0.25, respectively. The comparison results revealed that all AI models showed good prediction performance when applied to datasets affected by more than two parameters. The outcomes of this research revealed an optimistic strategy that can help decision makers select the influencing parameters in the early phases of project management. Also, developing a prediction model with high precision results can assist the project’s estimators in decreasing the errors in the cost estimation process. (shrink)

There exists a significant disparity within society between individuals in terms of intelligence. While intelligence varies naturally throughout society, the extent to which this impacts on the life opportunities it affords to each individual is greatly undervalued. Intelligence appears to have a prominent effect over a broad range of social and economic life outcomes. Many key determinants of well-being correlate highly with the results of IQ tests, and other measures of intelligence, and an IQ of 75 (...) is generally accepted as the most important threshold in modern life. The ability to enhance our cognitive capacities offers an exciting opportunity to correct disabling natural variation and inequality in intelligence. Pharmaceutical cognitive enhancers, such as modafinil and methylphenidate, have been shown to have the capacity to enhance cognition in normal, healthy individuals. Perhaps of most relevance is the presence of an ‘inverted U effect’ for most pharmaceutical cognitive enhancers, whereby the degree of enhancement increases as intelligence levels deviate further below the mean. Although enhancement, including cognitive enhancement, has been much debated recently, we argue that there are egalitarian reasons to enhance individuals with low but normal intelligence. Under egalitarianism, cognitive enhancement has the potential to reduce opportunity inequality and contribute to relative income and welfare equality in the lower, normal intelligence subgroup. Cognitive enhancement use is justifiable under prioritarianism through various means of distribution; selective access to the lower, normal intelligence subgroup, universal access, or paradoxically through access primarily to the average and above average intelligence subgroups. Similarly, an aggregate increase in social well-being is achieved through similar means of distribution under utilitarianism. In addition, the use of cognitive enhancement within the lower, normal intelligence subgroup negates, or at the very least minimises, several common objections to cognitive enhancement. Subsequently, this paper demonstrates that there is a compelling case for cognitive enhancement use in individuals with lower, normal intelligence. (shrink)

Peter Königs recently argued that, while autonomous robots generate responsibility gaps, such gaps need not be considered problematic. I argue that Königs’ compromise dissolves under analysis since, on a proper understanding of what “responsibility” is and what “gap” (metaphorically) means, their joint endorsement must repel an attitude of indifference. So, just as “calamities that happen but don’t bother anyone” makes no sense, the idea of “responsibility gaps that exist but leave citizens and ethicists unmoved” makes no sense.

This study examined 4-year-olds’ problem-solving under different social conditions. Children had to use water in order to extract a buoyant object from a narrow tube. When faced with the problem ‘cold’ without cues, nearly all children were unsuccessful. But when a solution-suggesting video was pedagogically delivered prior to the task, most children succeeded. Showing children the same video in a non-pedagogical manner did not lift their performance above baseline and was less effective than framing it pedagogically. The findings support ideas (...) central to natural pedagogy, 148–153, 2009). They also challenge the Cultural Intelligence hypothesis, according to which only humans’ social, but not their physical, cognition differs qualitatively from that of great apes. A more radical, transformative variant of the Cultural Intelligence hypothesis is suggested according to which humans’ physical cognition is shaped by their social nature and must therefore be recognized as equally distinctive as their social cognition. (shrink)

Hélène Landemore ,Aude Bandini | : Cet article présente les bases d’un argument épistémique en faveur de la démocratie définie comme procédure de décision collective. Il explore également les implications d’un tel argument épistémique par rapport à d’autres justifications établies de la démocratie, par rapport aux explications scientifiques de ses succès empiriques, et en termes de politiques publiques à mener. En ce qui concerne l’argument épistémique proprement dit, il repose sur le concept de « raison démocratique », autrement dit l’ (...) class='Hi'>intelligence collective des individus dans le domaine politique, et propose, de manière contre-intuitive, que la raison démocratique est davantage tributaire de la diversitécognitive des individus qui prennent par aux décisions que de leurs aptitudes personnelles. Généralement, l’argument de la raison démocratique complète les arguments procéduraux basés sur l’équité et l’égalité pour offrir une explication fonctionnaliste complète de la démocratie. Pour finir, cet article défend l’idée de réformes institutionnelles favorisant la participation citoyenne dans le processus de prise de décision collective. | : This paper presents the foundations of a systematic epistemic case for democracy as a collective decision-rule and explores the implications of this epistemic claim for normative justifications of democracy, scientific explanations of its empirical success, and policy reforms. As far as the epistemic case is concerned, the paper proposes an account based on the concept of “democratic reason,” or the collective intelligence of the people in politics. The paper argues that, counter-intuitively, democratic reason is more a function of the cognitive diversity of the individuals taking part in the decision than of their individual ability. As an account of democracy’s epistemic benefits, the argument from democratic reason supplements procedural accounts based on fairness and equality to provide a complete functionalist explanation of democracy. Finally, the argument supports policy reforms increasing citizens’ participation in the collective decision-process. (shrink)

Determining the agency-status of machines and AI has never been more pressing. As we progress into a future where humans and machines more closely co-exist, understanding hallmark features of agency affords us the ability to develop policy and narratives which cater to both humans and machines. This paper maintains that decision-making processes largely underpin agential action, and that in most instances, these processes yield good results in terms of making good choices. However, in some instances, when faced with two (or (...) more) choices, an agent may find themselves with equal reasons to choose either - thus being presented with a tie. This paper argues that in the event of a tie, the ability to create a voluntarist reason is a hallmark feature of agency, and second, that AI, through current tie-breaking mechanisms does not have this ability, and thus fails at this particular feature of agency. (shrink)

Artificial Intelligence (AI) is set to bring changes to legal systems. These technologies may have positive practical implications when it comes to access, efficiency, and accuracy in Justice. However, there are still many uncertainties and challenges associated with the implementation of AI in the legal space. In this research, we surveyed Judges on critical challenges related to the Judging Profession in the AI paradigm; Automated Adjudication; and Legal Principles. Our results suggest that (i) Judges are hesitant about changes in (...) their profession. They signal the need for adequate training that fosters legal literacy in AI, but are less open to changes in legal writing or their social and institutional role; (ii) Judges believe higher levels of automation only lead to fair outcomes if used in earlier phases of adjudication; (iii) Judges believe and are concerned about AI leading to Techno-Legal Positivism; and (iv) Judges consider that Legal AI technologies may have a positive impact in some legal principles, as long as everyone has equal access to those technologies and cybersecurity and judge on the loop safeguards are in place; and (v) Judges are strongly concerned about the de-humanization of Justice. They consider that assessing evidence, analyzing arguments, and deciding on a legal case should be inherently human. By surveying these practitioners, we aim to foster a responsible, inclusive, and transparent innovation in Justice. (shrink)

Adolescents have increasing discretionary income, expenditures, and purchasing power. Inventory shrinkage costs $123.4 billion globally to retail outlets. Adolescents are disproportionately responsible for theft and shoplifting. Both parents and peers significantly influence adolescents’ monetary values, materialism, and dishonesty as consumers. In this study, we develop a theoretical model involving teenagers’ social attachment and their consumer ethics, treat adolescents’ money attitude in the context of youth materialism as a mediator, and simultaneously examine the direct and indirect paths. Results of 1018 adolescents (...) illustrate that social attachment discourages unethical beliefs directly, but encourages it indirectly through monetary values. Our multi-group analyses demonstrate a novel paradox: The correlation between parental and peer attachments is smaller in France than in China, but similar across gender. Parents contribute more than peers to social attachment in France, but both carry equal weight in China. There is a negative direct path for the Chinese sample and for girls. Indirectly, parental attachment prevents French teenagers’ unethical beliefs, whereas peer attachment promotes boys’ unethical intention, supporting the notion—bad company corrupts good morals. Across both culture and gender, monetary attitude excites dishonesty consistently for all adolescents. A negative direct path exists for Chinese boys only. Overall, social attachment reduces unethical beliefs. Parental and peer supports shape teenagers’ monetary intelligence and ethical or unethical decision making, differently, across culture and gender. We provide theoretical, empirical, and practical implications to ethical parenting, peer attachment, monetary values, and business ethics. (shrink)

Despite evidence from cognitive psychology that men and women are equal in measured intelligence, gender differences in self-estimated intelligence are widely reported with males providing systematically higher estimates than females. This has been termed the male hubris, female humility effect. The present study explored personality factors that might explain this. Participants provided self-estimates of their general IQ and for Gardner’s multiple intelligences, before completing the Cattell Culture Fair IQ test as an objective measure of intelligence. They also (...) completed the Bem Sex Role Inventory as a measure of sex-role identification, and measures of general and academic self-esteem. Both gender and sex-role differences were observed for SEI, with males and participants of both genders who scored high in masculinity offering higher self-estimates. By comparing estimated and observed IQ, we were able to rule out gender differences in overall accuracy but observed a pattern of systematic underestimation in females. An hierarchical multiple regression showed significant independent effects of gender, masculinity, and self-esteem. Mixed evidence was observed for gender differences in the estimation of multiple intelligences, though moderately sized sex-role differences were observed. The results offer a far more nuanced explanation for the male hubris, female humility effect that includes the contribution of sex role identification to individual and group differences. (shrink)

Conversational interfaces (CIs) enabled by artificial intelligence (AI) technologies promise to reconfigure our relationship with computers through human speech and language as a more natural form of human-machine communication. Using the philosophy of technopersons, the text explores how CIs are promoted by digital platforms to advance a reconfiguration of the social domain upon the possibilities presented by AI technologies for the expansion of their power. This reconfiguration also involves changes into human language and the associated development of technoinequalities. In (...) other words, inequalities reinforced, facilitated and amplified by technology. Four areas of technoinequality associated with the development of CI are identified in terms of linguistic diversity, gender equality, labour precarity and exploitation, and environmental sustainability. (shrink)

Artificial intelligence tools used in employment decision-making cut across the multiple stages of job advertisements, shortlisting, interviews and hiring, and actual and potential bias can arise in each of these stages. One major challenge is to mitigate AI bias and promote fairness in opaque AI systems. This paper argues that the equal opportunity merit principle is an ethical approach for fair AI employment decision-making. Further, explainable AI can mitigate the opacity problem by placing greater emphasis on enhancing the understanding (...) of reasonable users and affected persons as to the AI output. Both the equal opportunity merit principle and explainable AI should be integrated in the design and implementation of AI employment decision-making systems so as to ensure, as far as possible, that the AI output is arrived at through a fair process. (shrink)

The present study aimed to investigate the effects of type of noise, age and gender on children’s speech intelligibility and sentence comprehension. The experiment was conducted with 171 children between 11 and 13 years old in ecologically-valid conditions (collective presentation in real, reverberating classrooms). Two standardized tests were used to assess speech intelligibility (SI) and sentence comprehension (SC). The two tasks were presented in three listening conditions: quiet; traffic noise; and classroom noise (non-intelligible noise with the same spectrum and temporal (...) envelope of speech, plus typical classroom sound events). Both task performance accuracy and listening effort were considered in the analyses, the latter tracked by recording the response time using a single-task paradigm. Classroom noise was found to have the worst effect on both tasks (worsening task performance accuracy and slowing response times), due to its spectro-temporal characteristics. A developmental effect was seen in the range of ages (11-13 years), which depended on the task and listening condition. Gender effects were also seen in both tasks, girls being more accurate and quicker to respond in most listening conditions. A significant interaction emerged between type of noise, age and task, indicating that classroom noise had a greater impact on response times for SI than for SC. Overall, these results indicate that, for 11- to 13-year-old children, performance in SI and SC tasks is influenced by aspects relating to both the sound environment and the listener (age, gender). The presence of significant interactions between these factors and the type of task suggests that the acoustic conditions that guarantee optimal SI might not be equally adequate for SC. Our findings have implications for the development of standard requirements for the acoustic design of classrooms. (shrink)

We investigated the influence of social status on behavior in a modified dictator game. Since the DG contains an inherent dominance gradient, we examined the relationship between dictator decisions and recipient status, which was operationalized by three social identities and an artificial intelligence. Additionally, we examined the predictive value of social dominance orientation on the behavior of dictators toward the different social and non-social hierarchical recipients. A multilevel model analysis showed that recipients with the same status as the dictator (...) benefited the most and the artificial intelligence the least. Furthermore, SDO, regardless of social status, predicted behavior toward recipients in such a way that higher dominance was associated with lower dictator offers. In summary, participants treated other persons of higher and lower status equally, those of equal status better and, above all, an algorithm worst. The large proportion of female participants and the limited variance of SDO should be taken into account with regard to the results of individual differences in SDO. (shrink)

This article analyses the limits of legal norms and institutions in holding to account the emerging power of Artificial Intelligence (AI) and Machine Learning. It demonstrates how a symbiosis of capitalism and new forms of digital power is mutating to produce novel and dangerous styles of organised irresponsibility that go beyond the reach of conventional legal mechanisms. It draws on the work of Pashukanis, Baudrillard, and Alain Supiot to show how this transformation is taking place. Referring to the role (...) of AI in the spread of Financial Technologies, it introduces a new term – ‘venture legalism’ – to describe how unprecedented risks are currently being created. It concludes by observing how ethical and democratic registers are equally implausible modes of accountability. (shrink)

A new class of program-oriented logical formalisms is investigated – renominative logics with extended renominations, equality predicates, and predicate complement composition. Composition algebras and languages of such logics are described; their semantic properties are investigated. For these logics, a number of logical consequence relations are proposed and investigated, in particular, the logical consequence relations with undefinedness conditions. Properties of these relations form the semantic basis for further construction of sequent-type calculi for the proposed logics.

Over the past decade, significant progress in artificial intelligence (AI) has spurred the adoption of its algorithms, addressing previously daunting challenges. Alongside these remarkable strides, there has been a simultaneous increase in model complexity and reliance on opaque AI models, lacking transparency. In numerous scenarios, the systems themselves may necessitate making decisions entailing ethical dimensions. Consequently, it has become imperative to devise solutions to integrate ethical considerations into AI system development practices, facilitating broader utilization of AI systems across various (...) domains. Research endeavors should explore innovative approaches to enhance ethical principles in AI systems, fostering greater transparency, accountability, and trustworthiness. Upholding fundamental individual rights, human dignity, autonomy, privacy, equality, and fairness, while mitigating potential harm, remains paramount. Considering ethical values and ensuring compliance with ethical requirements throughout the development lifecycle of autonomous and intelligent systems nurture trust and reliability in their utilization. Ethical considerations should be ingrained within organizational procedures guiding AI research activities, establishing robust frameworks that address ethical concerns and reflect the ethical implications of AI-based systems. This paper presents an overview of ethical approaches and processes aimed at integrating ethical considerations into AI system development practices. It underscores the significance of ethical frameworks in fostering ethical AI implementation and ensuring the ethical integrity of AI technologies. (shrink)

Research on attitudes toward artificial intelligence (AI) painting tools lacks an examination of gender differences among creative workers from the perspective of creative labor. This study used a mixed-methods explanatory sequential design to survey general attitudes toward AI painting tools among creative workers in the fields of animation and gaming, with a focus on gender differences and the underlying reasons for their viewpoints. Quantitative analysis (N = 376) showed no significant gender differences in general attitudes when controlling for computer (...) self-efficacy; however, female participants reported more negative general attitudes under comparable AI anxiety levels. Qualitative interviews (N = 10) confirmed that anxiety about being replaced by AI painting tools drives resistance. Despite equitable knowledge access and the absence of gender segregation in labor division, male interviewees received more technical support, experimental opportunities, and positive social feedback, leading to more positive general attitudes toward AI painting tools. Such disparities might exacerbate general attitude polarization and contribute to broader gender segregation in creative fields. The findings underscore the need for equal support and resources for male and female creative workers, which is crucial for promoting gender equality and ensuring the fair, inclusive use of AI technologies in creative labor. (shrink)

Recent brain imaging points to differences in brain structure that relate to intelligence, but how do we model their causal relationship within a coherent framework that circumvents classic dualist traps? A bottom-level nonlinear, dynamic, multifactor, multiplicative, multidimensional, molecular (ND4M) trait-covariance time-space model may accomplish this better than traditional approaches.