The dominant theory of the evolution of moral cognition across a variety of fields is that moral cognition is a biological adaptation to foster social cooperation. This chapter argues, to the contrary, that moral cognition is likely an evolutionary exaptation: a form of cognition where neurobiological capacities selected for in our evolutionary history for a variety of different reasons—many unrelated to social cooperation—were put to a new, prosocial use after the fact through individual rationality, learning, and the development and transmission (...) of social norms. This chapter begins with a brief overview of the emerging behavioral neuroscience of moral cognition. It then outlines a novel theory of moral cognition that I have previously argued explains these findings better than alternatives. Finally, it shows how the evidence for this theory of moral cognition and human evolutionary history together suggest that moral cognition is likely not a biological adaptation. Instead, like reading sheet music or riding a bicycle, moral cognition is something that individuals learn to do—in this case, in response to sociocultural norms created in our ancestral history and passed down through the ages to enable cooperative living. (shrink)

Moral philosophers argue that mechanisms such as reciprocal altruism and indirect reciprocity can result in the evolution of shared interests and a ‘moral sense’ in humans. This article discusses the need to broaden that view when considering the consequences of genetic conflict, in particular, the conflict associated with mate selection. An alternative application of evolutionary arguments to morality has been suggested by biologists such as Richard Alexander, who argue that ethical, moral and legal questions arise purely out of conflicts of (...) interest, and that moral systems (consisting of societal rules or laws) exist to ameliorate those conflicts. Following Alexander, a novel societal rule is proposed that could lessen the negative consequences to men of reproductive conflicts with women. (shrink)

Much of the excitement and concern with virtual reality (VR) has to do with the impact of virtual experiences on our moral conduct in the “real world”. VR technologies offer vivid simulations that may impact prosocial dispositions and abilities or emotions related to morality. Whereas some experiences could facilitate particular moral behaviors, VR could also inculcate bad moral habits or lead to the surreptitious development of nefarious moral traits. In this chapter, I offer an overview of the ethical debate about (...) using VR to improve morality. I start by clarifying the rationale of using VR for good, drawing on moral enhancement literature, branches of the science of morality, and the specific potentials of this technology. Then, I will briefly focus on three prominent domains of socio-moral improvement: the use of VR for enhancing empathy, reducing implicit biases, and improving pro-environmental behavior. After that, I shall consider three ethical objections to the enthusiasm for using VR in order to improve human morality. Finally, I will recapitulate the main points of the chapter and provide a few concluding thoughts on future avenues of discussion on how VR can make us act (morally) better. (shrink)

The neuroscience of ethics is allegedly having a double impact. First, it is transforming the view of human morality through the discovery of the neurobiological underpinnings that influence moral behavior. Secondly, some neuroscientific findings are radically challenging traditional views on normative ethics. Both claims have some truth but are also overstated. In this article, the author shows that they can be understood together, although with different caveats, under the label of ‘neurofoundationalism’. Whereas the neuroscientific picture of human morality is undoubtedly (...) valuable if we avoid neuroessentialistic portraits, the empirical disruption of normative ethics seems less plausible. The neuroscience of morality, however, is providing relevant evidence that any empirically-informed ethical theory needs to critically consider. Although neuroethics is not going to bridge the is-ought divide, it may establish certain facts that require us to rethink the way we achieve our ethical aspirations. (shrink)

¿Puede la inteligencia artificial (IA) hacernos más morales o ayudarnos a tomar decisiones más éticas? El libro Más (que) humanos. Biotecnología, inteligencia artificial y ética de la mejora, editado por Francisco Lara y Julian Savulescu (2021), puede inspirarnos filosóficamente sobre este debate contemporáneo. En esta nota crítica, contextualizo la aportación general del volumen y analizo los dos últimos capítulos de Monasterio-Astobiza y de Lara y Deckers, quienes argumentan a favor del uso de la IA para hacernos mejores agentes morales. El (...) objetivo es ampliar y matizar críticamente algunas cuestiones clave sobre cómo la IA puede asistirnos para tomar decisiones más éticas. (shrink)

Natural language provides a mechanism for cultural evolution by ensuring the persistent heredity of variations in both cultural information and information about its own construction. In the process, it not only facilitates but also limits our thinking to the ways its vocabulary and structures make possible. But the human capacity for metarepresentation frees cultural information from the restrictions of any one medium or language, and has also propelled the evolution of artefactual languages, which provide evolutionary mechanisms for specialist areas of (...) culture. And cooperation between diverse cultural specialists can stimulate further, innovative competition between the cultural information that they share. (shrink)

Human cooperation and group living are based on societies in which individuals not only care about their own interests but share common norms and values – such as morality and prosocial behavior. As early as the 18th century, Immanuel Kant postulated autonomy as the key to human morality. Kant explained that a rational agent with a free will would necessarily make moral – not immoral – decisions. However, the fundamental question of how moral behavior acquires normative weight remains unresolved until (...) the present day, especially when moral behavior entails personal costs for the individual. This dissertation builds on Kant’s thesis and aims to investigate important building blocks of moral autonomy at preschool age. Therefore, children’s own prosocial decisions as well as their normative and descriptive expectations about others’ prosocial actions are assessed and linked to fundamental underlying mechanisms such as cultural learning and collective intentionality. Study 1 assessed whether preschoolers enforce agreed-upon prosocial ver-sus selfish sharing norms in a group dictator game. Three- and 5-year-old children and two hand puppets had the opportunity to agree on how to distribute re-sources between themselves and a group of passive recipients. The findings sug-gest that preschoolers understand prosocial, but not selfish, agreements as binding even though prosocial sharing norms are associated with personal costs. Study Set 2 assessed in two experiments whether observed choice increases the children’s own prosocial sharing behavior. In Experiment 1, children observed an adult model who was provided with costly choice, non-costly choice, or no choice. As a next step, children were given the opportunity to decide how many stickers they would like to share with a sad animal puppet. Experiment 2 aimed to investigate possible age effects. The study design was reduced to condition and, a second test trial was added. Taken together, the results of Study Set 2 suggest that 5-year-old’s prosocial sharing behavior increases when previously having observed someone who intentionally acts prosocially at a personal cost. Study 3 investigated preschoolers’ descriptive expectations about the causal agent of prosocial and selfish actions, based on agents’ prior history of voluntary versus involuntary prosocial behavior. The results show that children at the age of 5.5 years use information about the circumstances and intentions of previous actions to generate descriptive expectations about other’s future prosocial behavior. From 4 years of age, children distinguish between an agent who shares voluntarily and an agent who shares only involuntarily. Taken together, this dissertation shows that preschool aged children infer and enforce prosocial – but not selfish – sharing norms. They engage in prosocial sharing which is affected by observed choice and they form descriptive expectations about others tendency to behave prosocial or selfish on the base of knowledge about the agents prosocial versus selfish intentions. (shrink)

AI systems are bringing an augmentation of human capabilities to shape the world. They may also drag a replacement of human conscience in large chunks of life. AI systems can be designed to leave moral control in human hands, to obstruct or diminish that moral control, or even to prevent it, replacing human morality with pre-packaged or developed ‘solutions’ by the ‘intelligent’ machine itself. Artificial Intelligent systems (AIS) are increasingly being used in multiple applications and receiving more attention from the (...) public and private organisations. The purpose of this article is to offer a mapping of the technological architectures that support AIS, under the specific focus of the moral agency. Through a literature research and reflection process, the following areas are covered: a brief introduction and review of the literature on the topic of moral agency; an analysis using the BDI logic model (Bratman 1987); an elemental review of artificial ‘reasoning’ architectures in AIS; the influence of the data input and the data quality; AI systems’ positioning in decision support and decision making scenarios; and finally, some conclusions are offered about regarding the potential loss of moral control by humans due to AIS. This article contributes to the field of Ethics and Artificial Intelligence by providing a discussion for developers and researchers to understand how and under what circumstances the ‘human subject’ may, totally or partially, lose moral control and ownership over AI technologies. The topic is relevant because AIS often are not single machines but complex networks of machines that feed information and decisions into each other and to human operators. The detailed traceability of input-process-output at each node of the network is essential for it to remain within the field of moral agency. Moral agency is then at the basis of our system of legal responsibility, and social approval is unlikely to be obtained for entrusting important functions to complex systems under which no moral agency can be identified. (shrink)