The problem of animal consciousness has profound implications on our concept of nature and of our place in the natural world. In philosophy of mind and cognitive neuroscience the problem of animal consciousness raises two main questions (Velmans, 2007): the distribution question (“are there conscious animals beside humans?”) and the phenomenological question (“what is it like to be a non-human animal?”). In order to answer these questions, many approaches take into account similarities and dissimilarities in animal and human behavior, e.g. (...) the use of language or tools and mirror self-recognition (Allen and Bekoff, 2007), however behavioral arguments don’t seem to be conclusive (Baars, 2005). Cognitive neuroscience is providing comparative data on structural and functional similarities, respectively called “homologies” and “analogies”. Many experimental results suggest that the thalamocortical system is essential for consciousness (Edelman and Tononi, 2000; Tononi, 2008). The argument from homology states that the general structure of thalamocortical system remained the same in the last 100-200 million years, for it is neuroanatomically similar in all the present and past mammals and it didn’t change much during phylogeny (Allen and Bekoff, 2007). The argument from analogy states that the key functional processes correlated with consciousness in humans are still present in all other mammals and many other animals (Baars, 2005). These processes are information integration through effective cortical connectivity (Massimini et al., 2005; Rosanova et al., 2012) and elaboration of information at a global level (Dehaene and Changeux, 2011). On this basis, the Cambridge Declaration on Consciousness states that all mammals, birds, and many other animals (such as octopuses) possess the neurological substrates of consciousness (Low et al., 2012). Conscious experience is private (Chalmers, 1995; Nagel, 1974) therefore the answer to the phenomenological question may be impossible. Nevertheless, cognitive neuroscience may provide an answer to the distribution question, showing that conscious experience is not limited to humans since it is a major biological adaptation going back millions of years. (shrink)

The online dating application has in recent years become a major avenue for meeting potential partners. But while the digital public sphere has gained the attention of political philosophers, a systematic normative evaluation of issues arising in the ‘digital sexual sphere’ is lacking. I provide a philosophical framework for assessing dating app corporation conduct, capturing why people use these apps and their experience so often is unsatisfactory. Identifying dating apps as agents intervening in a social institution necessary for the reproduction (...) of society, with immense power over people's lives, I ask if they exercise their power in line with individuals’ interests. Acknowledging that people have claims to non-interference, equal standing, and choice improvement relating to intimacy, I find that the traditional, non-digital, sexual sphere poses problems to their realisation, especially for sexual minorities. In this context, apps’ potential for justice in the sexual sphere is immense, but unfulfilled. (shrink)

John and Curran have convincingly shown that Scanlonian contractualism is a valuable resource for evaluating pandemic response policies, and that we should reject cost–benefit analysis in favour of a contractualist framework. However, they fail to consider the part of contractualism that Scanlon constructed precisely to deal with the question of when the state can restrict individuals from making choices that are harmful to themselves and others: the value of choice view. In doing so, they leave it open for opponents of (...) lockdowns to misuse contractualism to justify mistaken policies. This is because the most powerful contractualist objections to locking down are likely to be based on the VoC. When we apply the value of choice view, we see that a lockdown policy’s justifiability depends on the extent to which particular values of choice are found to be threatened by the policy in question, and what safeguards policy-makers have put in place to increase the value of choice and protect people from the harmful consequences of lockdown. Without the VoC, it is harder to explain why lockdowns, to be non-rejectable, must have certain features. With the VoC, the case for contractualism over cost benefit analysis can be made even stronger. (shrink)

The problem of free will is deeply linked with the causal relevance of mental events. The causal exclusion argument claims that, in order to be causally relevant, mental events must be identical to physical events. However, Gibb has recently criticized it, suggesting that mental events are causally relevant as double preventers. For Gibb, mental events enable physical effects to take place by preventing other mental events from preventing a behaviour to take place. The role of mental double preventers is hence (...) similar to what Libet names free won’t, namely the ability to veto an action initiated unconsciously by the brain. In this paper I will propose an argument against Gibb’s account, the causal irrelevance argument, showing that Gibb’s proposal does not overcome the objection of systematic overdetermination of causal relevance, because mental double preventers systematically overdetermine physical double preventers, and therefore mental events are causally irrelevant. (shrink)

How do social norms influence our choices? And does the presence of biased norms affect what we owe to each other? Looking at empirical research relating to PrEP rollout in HIV prevention policy, a...

Social norms regulating carework and social reproduction tend to be inegalitarian. At the same time, such norms often play a crucial role when we plan our lives. How can we criticise objectionable practices while ensuring that people can organise their lives around meaningful and predictable rules? Gerald Gaus argues that only ‘publicly justified’ rules, rules that everyone would prefer over ‘blameless liberty,’ should be followed. In this paper, we uncover the inegalitarian implications of this feature of Gaus's framework. We show (...) that because a society without clear social norms for how social reproduction and care work ought to be organised would be so unattractive, inegalitarian rules would pass Gaus's test. They would pass this test since they would nevertheless be better than ‘blameless liberty.’ Those who are disproportionately burdened by a rule are faced with the daunting task of showing that they would be better off under no rule, instead of merely having to show that they would be better off with a different rule. (shrink)

Sleep and dreaming are important daily phenomena that are receiving growing attention from both the scientific and the philosophical communities. The increasingly popular predictive brain framework within cognitive science aims to give a full account of all aspects of cognition. The aim of this paper is to critically assess the theoretical advantages of Predictive Processing (PP, as proposed by Clark 2013, Clark 2016; and Hohwy 2013) in defining sleep and dreaming. After a brief introduction, we overview the state of the (...) art at the intersection between dream research and PP (with particular reference to Hobson and Friston 2012; Hobson et al. 2014). In the following sections we focus on two theoretically promising aspects of the research program. First, we consider the explanations of phenomenal consciousness during sleep (i.e. dreaming) and how it arises from the neural work of the brain. PP provides a good picture of the peculiarity of dreaming but it can’t fully address the problem of how consciousness comes to be in the first place. We propose that Integrated Information Theory (IIT) (Oizumi et al. 2014; Tononi et al. 2016) is a good candidate for this role and we will show its advantages and points of contact with PP. After introducing IIT, we deal with the evolutionary function of sleeping and dreaming. We illustrate that PP fits with contemporary researches on the important adaptive function of sleep and we discuss why IIT can account for sleep mentation (i.e. dreaming) in evolutionary terms (Albantakis et al. 2014). In the final section, we discuss two future avenues for dream research that can fruitfully adopt the perspective offered by PP: (a) the role of bodily predictions in the constitution of the sleeping brain activity and the dreaming experience, and (b) the precise role of the difference stages of sleep (REM (Rapid eye movement), NREM (Non-rapid eye movement) in the constitution and refinement of the predictive machinery. (shrink)

Objective correlates—behavioral, functional, and neural—provide essential tools for the scientific study of consciousness. But reliance on these correlates should not lead to the ‘fallacy of misplaced objectivity’: the assumption that only objective properties should and can be accounted for objectively through science. Instead, what needs to be explained scientifically is what experience is intrinsically— its subjective properties—not just what we can do with it extrinsically. And it must be explained; otherwise the way experience feels would turn out to be magical (...) rather than physical. We argue that it is possible to account for subjective properties objectively once we move beyond cognitive functions and realize what experience is and how it is structured. Drawing on integrated information theory, we show how an objective science of the subjective can account, in strictly physical terms, for both the essential properties of every experience and the specific properties that make particular experiences feel the way they do. (shrink)

Modern life sciences research is increasingly relying on artificial intelligence (AI) approaches to model biological systems, primarily centered around the use of machine learning (ML) models. Although ML is undeniably useful for identifying patterns in large, complex data sets, its widespread application in biological sciences represents a significant deviation from traditional methods of scientific inquiry. As such, the interplay between these models and scientific understanding in biology is a topic with important implications for the future of scientific research, yet it (...) is a subject that has received little attention. Here, we draw from an epistemological toolkit to contextualize recent applications of ML in biological sciences under modern philosophical theories of understanding, identifying general principles that can guide the design and application of ML systems to model biological phenomena and advance scientific knowledge. We propose that conceptions of scientific understanding as information compression, qualitative intelligibility, and dependency relation modelling provide a useful framework for interpreting ML-mediated understanding of biological systems. Through a detailed analysis of two key application areas of ML in modern biological research – protein structure prediction and single cell RNA-sequencing – we explore how these features have thus far enabled ML systems to advance scientific understanding of their target phenomena, how they may guide the development of future ML models, and the key obstacles that remain in preventing ML from achieving its potential as a tool for biological discovery. Consideration of the epistemological features of ML applications in biology will improve the prospects of these methods to solve important problems and advance scientific understanding of living systems. (shrink)

Over the past decade or so, a new interdisciplinary field has emerged in the ground between, on the one hand, computer science – and artificial intelligence in particular – and, on the other, the area of philosophy concentrating on the language and structure of argument. There are now hundreds of researchers worldwide who would consider themselves a part of this nascent community. Various terms have been proposed for the area, including "Computational Dialectics," "Argumentation Technology," and "Argument-based Computing," but the term (...) that has stuck is simply Argument & Computation. It encompasses several specific strands of research, such as: . the use of theories of argument, and dialectic in particular, in the design and implementation of protocols for multi-agent action and communication; . the application of theories of argument and rhetoric in natural language processing and affective computing; . the use of argument-based structures for autonomous reasoning in artificial intelligence, and in particular, for defeasible reasoning; . computer-supported collaborative argumentation – the implementation of software tools for enabling online argument in domains such as education and e-government. These strands come together to form the core of a research field that covers parts of artificial intelligence (AI), philosophy, linguistics, and cognitive science, but, increasingly, is building an identity of its own. (shrink)

Responsible research and innovation imposes normative requirements on research and innovation processes resembling three successive steps, each more ambitious than its predecessor, with distinct features. For the research dimension the distinct features reflect the normative requirements of, first, credible research ; second, responsive research ; and third, responsible research. Equally distinct features reflect the requirements of credible innovation, responsive innovation, and responsible innovation.

Ethical, Legal and Social Aspects (ELSA) originated in the 4thEuropean Research Framework Programme (1994) andresponsible research and innovation (RRI) from the EC researchagenda in 2010. ELSA has received renewed attention inEuropean funding schemes and research. This raises the questionof how these two approaches to social responsibility relate toone another and if there is the possibility to align. There is aneed to evaluate the relationship/overlap between ELSA and RRIbecause there is a possibility that new ELSA research will (...) reinventthe wheel if it does not engage with the body of literaturealready present in RRI research. This provides unneeded extrabureaucracy, reformulations of research agendas, extrainvestment, and an overabundance of frameworks to implement,and ELSA research does not take advantage of the body ofresearch developed in RRI. This paper evaluates how ELSA andRRI diverge, are complementary, and can be aligned. (shrink)

Two decades ago, in 1994, in the context of the 4th EU Framework Programme, ELSA was introduced as a label for developing and funding research into the ethical, legal and social aspects of emerging sciences and technologies. Currently, particularly in the context of EU funding initiatives such as Horizon2020, a new label has been forged, namely Responsible Research and Innovation. What is implied in this metonymy, this semantic shift? What is so new about RRI in comparison to ELSA? (...) First of all, for both labels, the signifier was introduced in a top-down manner, well before the concept that was signified by it had acquired a clear and stable profile. In other words, the signifier preceded the research strategies actually covered by these labels. Moreover, the newness of RRI does not reside in its interactive and anticipatory orientation, as is suggested by authors who introduced the term, but rather in its emphases on social-economic impacts. (shrink)

Disney’s Frozen (2013) and Frozen 2 (2019) are among the highest-grossing films of all time (IMDb 2021) and are arguably among the most influential works of fantasy produced in the last decade in any medium. The films, based loosely on Hans Christensen Andersen’s “The Snow Queen” (Andersen 2014) focus on the adventures of the sisters Anna and Elsa as they, together with their companions, seek to safeguard their people both from external threats and (importantly) from Elsa’s inabilities to (...) control her magical abilities to summon ice and snow. While Anna’s choices drive much of the action of both films, Elsa has undoubtedly been the more influential and popular of the two characters, as indicated by measures such as merchandise sales (Ellen Byron and Paul Ziobro 2014), Google search data (Play Like Mum 2020), and even baby name choices (Wolfers 2015). -/- Despite her popularity, Elsa is in many ways a paradoxical sort of hero, as she finds her actions all but predetermined by both external and internal forces. This is particularly the case in the first film, where we meet an Elsa who has been born with a power she cannot control, and which appears more as a force of nature than as anything that “belongs” to Elsa. The film’s action is driven, in large part, precisely by Elsa’s failures to exert control over her emotions and abilities. She begins the film by accidentally injuring Anna. This, in turn, causes Elsa to become fearful and withdrawn and to isolate herself from her sister, even after their parents die on a quest to find a cure for Elsa. Elsa's fear and lack of control lead to an even more dire outcome when she inadvertently calls down winter on Arendelle and abandons her people for the mountains. It is only through Anna's devoted quest to rescue her sister, first by pursuing her to the mountains, and later by throwing herself in front of the villainous Hans’ sword attack on her sister, that Elsa (and Arendelle) are saved. Elsa's most active contribution to this is to appreciate the import of Anna's sacrifice and to discover the power of "love" to overcome her fear. -/- What then, are we to make of Elsa as a character? It is the younger sister Anna who corresponds most closely to Gerda, the unquestioned protagonist of Andersen’s original tale, and her character arc fits neatly with the well-known “Hero’s Journey” model for describing myth (Campbell 2020). It is Anna, for example, who goes on a quest, meets a group of motley companions (the human Kristoff, the reindeer Sven, and the magical snowman Olaf), accepts advice from wise elders (the trolls), undergoes a severe trial, and even gets the "reward" of romantic love at the end. All of this has led some scholars (Niemiec and Bretherton 2015; Heit 2019) to hold up Anna, rather than Elsa, as something like the hero of the story. Existing scholarship on Elsa, by contrast, has focused largely on issues related to her gender and sexuality (Law 2014; Lee 2015; Steinhoff 2017; Streiff and Dundes 2017; Dundes, Streiff, and Streiff 2018; Dundes 2020; Llompart and Brugué 2020). In what follows, I’ll be taking a closer look at Elsa’s unique status as a protagonist, and what her struggles with fate reveal about the nature of free will and ethical responsibility. I’ll argue that Elsa provides a useful model of a “Stoic hero” and that her strengths and weaknesses as a character provide valuable insight into an often-misunderstood school of philosophy. My argument will proceed in several stages. I’ll begin by describing the basic tenets of Stoic philosophy, paying special attention to the role of fate and nature. I’ll then move on to a more detailed treatment of Stoic ethics, as exemplified by Elsa’s own character development. I’ll close by considering the infamous “Lazy Argument” against. (shrink)

Book review of : Courant (Elsa), Poésie et cosmologie dans la seconde moitié du XIXe siècle : nouvelle mytholo-gie de la nuit à l’ère du positivisme. – Genève : Librairie Droz, 2020. – 808 p. – 1 vol. broché de 15 × 22 cm. – 46,45 €. – isbn 978-2-600-06026-4.

I will start my inaugural address by outlining the main argument of my lecture. First, I will identify the phenomenon that philosophers of technology research. This subject matter, in my view, consists not only of ethical issues that disruptive technologies raise but also of the disruption of the world in which we live and act by these technologies. I will illustrate this disruption by reflecting on the convergence of the physical and the virtual in the digital world, which is expected (...) to change the way we live together. I propose that philosophers of technology should research new disruptive technologies and the digital world in which they are embedded in an integrated manner. Subsequently, I will ask how the emergence of digital technologies disrupts the world’s design in the digital age. My hypothesis is that technological innovations themselves constitute the World in a non-anthropocentric and non-determinist manner. To make my case, I will first draw attention to the difference between technology and innovation and propose a philosophy of innovation. This will enable me to consider how innovation processes have an economic, social-political and ontological impact on the world. Based on historical and contemporary examples, I will illustrate the redesign of the world in the digital age. This broader understanding of the impact of digital technologies will subsequently enable me to articulate some of the critical questions I have regarding digitalisation, and how the philosophical tradition can be made fruitful to critically reflect on the elision between the physical and the virtual in the digital age. This criticism informs my engagement with ethical questions in ethics of technology, ELSA (Ethical, Legal and Social Aspects) and Responsible Innovation. As a final step, I open a progressive perspective on the emancipatory potential of disruptive innovations to set the world free. In times of climate change, we are urgently in need of an emancipation of the World. We need to move beyond the classical opposition between technophobia and technophilia and look for innovations that can set the World free and contribute to a sustainable future. I will illustrate the emancipatory potential of disruptive technological innovations by considering the shift from human-centred technology to bio-centred technology in biomimetic design. (shrink)

This paper examines how professionals (N = 32) working on artificial intelligence (AI) view structural AI ethics challenges like injustices and inequalities beyond individual agents' direct intention and control. This paper answers the research question: What are professionals’ perceptions of the structural challenges of AI (in the agri-food sector)? This empirical paper shows that it is essential to broaden the scope of ethics of AI beyond micro- and meso-levels. While ethics guidelines and AI ethics often focus on the responsibility of (...) designers and the competencies and skills of designers to take this responsibility, our results show that many structural challenges are beyond their reach. This result means that while ethics guidelines and AI ethics frameworks are helpful, there is a risk that they overlook more complicated, nuanced, and intersected structural challenges. In addition, it highlights the need to include diverse stakeholders, such as quadruple helix (QH) participants, in discussions around AI ethics rather than solely focusing on the obligations of AI developers and companies. Overall, this paper demonstrates that addressing structural challenges in AI is challenging and requires an approach that considers four requirements: (1) multi-level, (2) multi-faceted, (3) interdisciplinary, and (4) polycentric governance. (shrink)

The Centre for Society and Genomics (CSG) was established in 2004, funded by NGI (the Netherlands Genomics Initiative). Funding was continued in 2008. This report summarises the basic outcomes of almost a decade of interactive societal research, in close collaboration with the other centres of the NGI network. There are two reasons for presenting these results. First of all, at the end of this year, the CSG Next programme (2008-2013), encompassing more than 50 research projects conducted at 10 Dutch universities, (...) will be completed. Moreover, we are currently preparing ourselves for the years to come. The network of principal investigators, together with the research communities they represent and the societal and international networks they are involved in, have agreed to continue to work together, on the basis of mutual learning, transdisciplinary collaboration and collegial support. Notably, we offer our networks, experiences and expertise to help prepare the ground for promoting Responsible Research and Innovation (RRI) in the context of Horizon2020, together with our European colleagues. This report summarises what our type of research can achieve and how we want to continue our activities in the future. After a concise sketch of the life sciences landscape as it has evolved during the past seven decades or so, we explain how CSG came about and what kind of approach we have developed. Subsequently, we list our main results, notably in the form of project vignettes, so as to make the harvest of the CSG Next programme as tangible and concrete as possible. Finally, we explain how we see our role in the future. As is already indicated by the title: this is not merely a retrospective summary of our results (CSG harvest), but an invitation to readers (from academia, industry, policy and civil society) to reassemble and to optimally prepare ourselves for things to come, by strengthening and broadening our collaborative efforts, building on what we have achieved so far. (shrink)