During the last decade a new utopian horizon has emerged from the radical left: that of a future postcapitalist society in which technological progress and renewable energy finally take care of our material needs while robots do most our work for us, making paid employment a thing of the past. Instead, we can focus on fulfilling our desires and dreaming up new ones, leading lives of luxury and ease. This utopia, often called “fully automated luxury (...) class='Hi'>communism," could be reached through opportunistically accelerating features of the existing neoliberal capitalist system. -/- However, behind this vision of a bright, sustainable future lurks a worrying political prospect. I show how the post-capitalist’s philosophical prejudice against work comes at a high political cost. By painting productive activity as mere drudgery that machines will emancipate us from, they also end up giving up on work as the root of radical democratic agency. The luxury communist proposal ends up resembling an extreme case of the neoliberal hegemony that it claims to be fighting against, a centrally ruled world completely focused on private enjoyment of luxury and devoid of any shared understanding of human flourishing on which democratic public life could thrive – a political dystopia. (shrink)

Artistic labour was exemplary for Utopian Socialist theories of 'attractive labour', and Marxist theories of 'nonalienated labour', but the rise of the anti-work movement and current theories of 'fully automated luxury communism' have seen art topple from its privileged place within the left's political imaginary as the artist has been reconceived as a prototype of the precarious 24/7 worker. 'Art and Postcapitalism' argues that art remains essential for thinking about the intersection of labour, capitalism and postcapitalism (...) not insofar as it merges work and pleasure but as an example of noncapitalist production. Reassessing the contemporary politics of work by revisiting debates about art, technology and in the nineteenth and twentieth century, Dave Beech challenges the aesthetics of labour in John Ruskin, William Morris and Oscar Wilde with a value theory of the supersession of capitalism that sheds light on the anti-work theory by Silvia Federici, Andre Gorz, Kathi Weeks and Maurizio Lazzarato, as well as the technological Cockayne of Srnicek and Williams and Paul Mason. Formulating a critique of contemporary postcapitalism, and developing a new understanding of art and labour within the political project of the supersession of value production, this book is essential for activists, scholars and anyone interested in the real and imagined escape routes from capitalism. (shrink)

As an idea, transhumanism has received increasing attention in recent years and across numerous domains. Despite presidential candidates such as Zoltan Istvan, who ran on an explicitly Transhumanist platform in 2016 but later dropped out to endorse Hillary Clinton, transhumanism has taken root more recently in the conspiratorial imaginations of the dark web. Given the philosophy’s central emphasis on technology as an inherent good, imaginations in supposed alt-right internet circles have criticised it as an ideological gateway to global, fully- (...) class='Hi'>automated Communism. This is not to say that such discussions on transhumanism are exclusively siloed and on the margins of society. Related discussions are happening at various well-known institutions and research centres such as the Institute for Ethics and Emerging Technologies, a non-profit think tank dedicated to techno-progressivism where I have been managing director for half a decade. What I mean to say here is that transhumanism is not monolithic. It is best described as multi-faceted and existing in different instantiations across multiple domains. James Michael MacFarlane’s recent book, Transhumanism as a New Social Movement: The Techno- Imagination, is an attempt to trace the history, meaning, and practices that characterise this variegated term. (shrink)

Robots are widely expected—and pushed—to transform open-field agriculture, but these visions remain wedded to optimizing monocultural farming systems. Meanwhile there is little pull for automation from ecology-based, diversified farming realms. Noting this gap, we here explore the potential for robots to foster an agroecological approach to crop production. The research was situated in The Netherlands within the case of _pixel cropping_, a nascent farming method in which multiple food and service crops are planted together in diverse assemblages employing agroecological practices (...) such as intercropping and biological pest control. Around this case we engaged with a variety of specialists in discussion groups, workshops, and design challenges to explore the potential of field robots to meet the multifaceted demands of highly diverse agroecological cropping systems. This generated a spectrum of imaginations for how automated tools might—or might not—be appropriately used, ranging from fully automated visions, to collaborative scenarios, to fully analogue prototypes. We found that automating agroecological cropping systems requires finding ways to imbue the ethos of agroecology into designed tools, thereby seeking to overcome tensions between production aims and other forms of social and ecological care. We conclude that a rethinking of automation is necessary for agroecological contexts: not as a blueprint for replacing humans, but making room for analogue and hybrid forms of agricultural work. These findings highlight a need for design processes which include a diversity of actors, involve iterative design cycles, and incorporate feedback between designers, practitioners, tools, and cropping systems. (shrink)

IntroductionCognition generally declines gradually over time due to progressive degeneration of the brain, leading to dementia and eventual loss of independent functions. The rate of regression varies among the six cognitive domains. Current modality of cognitive assessment using neuropsychological paper-and-pencil screening tools for cognitive impairment such as the Montreal Cognitive Assessment has limitations and is influenced by age. Virtual reality is considered as a potential alternative tool to assess cognition. A novel, fully immersive automated VR system has been (...) developed to assess the six cognitive domains. As cognition is associated with age, VR performance is postulated to vary with age using this system.AimsThis is a feasibility study to evaluate the VR performance of cognitively healthy adults aged between 35 and 74 years old, based on the performance score and completion time using the CAVIRE system.MethodsConducted in a public primary care clinic in Singapore, 25 multi-ethnic Asian adults were recruited in each of the four age groups in years: 35–44; 45–54; 55–64, and 65–74. The eligibility criteria included a MoCA score of 26 or higher to reflect normal cognition and understanding English instructions. They completed common daily activities ranging from brushing teething to shopping, across 13 VR segments. Their performances scores and completion time were automatically computed by the CAVIRE system. These VR performance indices were compared across the four age groups using one-way ANOVA, F-test of the hypothesis, followed by pair-wise comparisons in the event of a significant F-test.ResultsOne participant dropped out from Group 1. The demographic characteristics of 99 participants were similar across the 4 age groups. Overall, younger participants in Groups 1 and 2 attained higher VR performance scores and shorter completion time, compared to those in Groups 3 and 4, in all six cognitive domains.ConclusionThe CAVIRE VR performance scores and completion time significantly differ between the younger and older Asian participants with normal cognition. Enhancements to the system are needed to establish the age-group specific normal performance indices. (shrink)

Having lost much of its political clout and theoretical power, communism no longer represents an appealing alternative to capitalism. In its original Marxist formulation, communism promised an ideal of development, but only through a logic of war, and while a number of reformist governments still promote this ideology, their legitimacy has steadily declined since the fall of the Berlin wall. Separating communism from its metaphysical foundations, which include an abiding faith in the immutable laws of history and (...) an almost holy conception of the proletariat, Gianni Vattimo and Santiago Zabala recast Marx's theories at a time when capitalism's metaphysical moorings--in technology, empire, and industrialization--are buckling. While Michael Hardt and Antonio Negri call for a return of the revolutionary left, Vattimo and Zabala fear this would lead only to more violence and failed political policy. Instead, they adopt an antifoundationalist stance drawn from the hermeneutic thought of Martin Heidegger, Jacques Derrida, and Richard Rorty. Hermeneutic communism leaves aside the ideal of development and the general call for revolution; it relies on interpretation rather than truth and proves more flexible in different contexts. Hermeneutic communism motivates a resistance to capitalism's inequalities yet intervenes against violence and authoritarianism by emphasizing the interpretative nature of truth. Paralleling Vattimo and Zabala's well-known work on the weakening of religion, _Hermeneutic Communism_ realizes the fully transformational, politically effective potential of Marxist thought. (shrink)

The majority of studies of post-communism – habitually grouped under the heading of 'transitology' – understand the transition ultimately as a political and cultural convergence of the ex-communist societies with Western Europe. Even those critical approaches that regard the post-communist transition as a relatively unique phenomenon (as in the approaches of path dependency and neo-classical sociology) tend to conflate normative prescriptions with empirical descriptions and to move within an overall framework of what Michael Kennedy has aptly called 'transition culture'. (...) This article argues instead that the transition's nature can only be fully grasped if a case-specific and historical-contextual approach is taken. In theoretical terms, a three-step movement to grasp diversity in Central and Eastern Europe is proposed: (1) the acknowledgement of the plurality of modernizing agency and its creativity; (2) the acknowledgement of multi-interpretability and difference as primary elements of modernity; and (3) a sensitivity to the resulting institutional variety in societal constellations. In substantive terms, it is argued that diversity is a distinctive mark of Europe that is bound to persist in an enlarged Europe, despite the spirit of assimilation in the accession process. (shrink)

Large language models and other generative artificial intelligence systems are achieving increasingly impressive results, though the quality of those results still seems dull and uninspired. This paper argues that this poor quality can be linked to the philosophical notion of inauthenticity as presented by Kierkegaard, Nietzsche, and Heidegger, and that this inauthenticity is fundamentally grounded in the design and structure of such systems by virtue of the way they statistically level down the materials on which they are trained. Although it (...) seems possible to create the conditions for authenticity in these systems, the resulting authenticity would be grounded in machine intelligence, not human intelligence. The argument extends the criticisms of artificial intelligence articulated by Hubert Dreyfus, updated to account for recent developments in machine learning and artificial neural networks. While more optimistic concerning the prospects for successfully creating artificial intelligence than Dreyfus had been, this paper argues that the resulting intelligence may not align well with human intelligence and may not be desirable for humans, if it is fully authentic. (shrink)

Having lost much of its political clout and theoretical power, communism no longer represents an appealing alternative to capitalism. In its original Marxist formulation, communism promised an ideal of development, but only through a logic of war, and while a number of reformist governments still promote this ideology, their legitimacy has steadily declined since the fall of the Berlin wall. Separating communism from its metaphysical foundations, which include an abiding faith in the immutable laws of history and (...) an almost holy conception of the proletariat, Gianni Vattimo and Santiago Zabala recast Marx's theories at a time when capitalism's metaphysical moorings -- in technology, empire, and industrialization -- are buckling. While Michael Hardt and Antonio Negri call for a return of the revolutionary left, Vattimo and Zabala fear this would lead only to more violence and failed political policy. Instead, they adopt an antifoundationalist stance drawn from the hermeneutic thought of Martin Heidegger, Jacques Derrida, and Richard Rorty. Hermeneutic communism leaves aside the ideal of development and the general call for revolution; it relies on interpretation rather than truth and proves more flexible in different contexts. Hermeneutic communism motivates a resistance to capitalism's inequalities yet intervenes against violence and authoritarianism by emphasizing the interpretative nature of truth. Paralleling Vattimo and Zabala's well-known work on the weakening of religion, _Hermeneutic Communism_ realizes the fully transformational, politically effective potential of Marxist thought. (shrink)

In this paper I critique the ethical implications of automating CCTV surveillance. I consider three modes of CCTV with respect to automation: manual, fully automated, and partially automated. In each of these I examine concerns posed by processing capacity, prejudice towards and profiling of surveilled subjects, and false positives and false negatives. While it might seem as if fully automated surveillance is an improvement over the manual alternative in these areas, I demonstrate that this is (...) not necessarily the case. In preference to the extremes I argue in favour of partial automation in which the system integrates a human CCTV operator with some level of automation. To assess the degree to which such a system should be automated I draw on the further issues of privacy and distance. Here I argue that the privacy of the surveilled subject can benefit from automation, while the distance between the surveilled subject and the CCTV operator introduced by automation can have both positive and negative effects. I conclude that in at least the majority of cases more automation is preferable to less within a partially automated system where this does not impinge on efficacy. (shrink)

Fully automated vehicles (AVs) hold promise toward providing numerous societal benefits including reducing road fatalities. However, we are uncertain about how individuals’ perceptions will influence their ability to accept and adopt AVs. The 28-item Automated Vehicle User Perception Survey (AVUPS) is a visual analog scale that was previously constructed, with established face and content validity, to assess individuals’ perceptions of AVs. In this study, we examined construct validity, via exploratory factor analysis and subsequent Mokken scale analyses. Next, (...) internal consistency was assessed via Cronbach’s alpha (α) and 2-week test–retest reliability was assessed via Spearman’s rho (ρ) and intraclass correlation coefficient (ICC). The Mokken scale analyses resulted in a refined 20-item AVUPS and three Mokken subscales assessing specific domains of adults’ perceptions of AVs: (a)Intention to use; (b)perceived barriers; and (c)well-being. The Mokken scale analysis showed that all item-coefficients of homogeneity (H) exceeded 0.3, indicating that the items reflect a single latent variable. The AVUPS indicated a strong Mokken scale (Hscale= 0.51) with excellent internal consistency (α = 0.95) and test–retest reliability (ρ = 0.76, ICC = 0.95). Similarly, the three Mokken subscales ranged from moderate to strong (rangeHscale= 0.47–0.66) and had excellent internal consistency (range α = 0.84–0.94) and test–retest reliability (range ICC = 0.84–0.93). The AVUPS and three Mokken subscales of AV acceptance were validated in a moderate sample size (N= 312) of adults living in the United States. Two-week test–retest reliability was established using a subset of Amazon Mechanical Turk participants (N= 84). The AVUPS, or any combination of the three subscales, can be used to validly and reliably assess adults’ perceptions before and after being exposed to AVs. The AVUPS can be used to quantify adults’ acceptance of fully AVs. (shrink)

Automated technologies and robots make decisions that cannot always be fully controlled or predicted. In addition to that, they cannot respond to punishment and blame in the ways humans do. Therefore, when automated cars harm or kill people, for example, this gives rise to concerns about responsibility-gaps and retribution-gaps. According to Sven Nyholm, however, automated cars do not pose a challenge on human responsibility, as long as humans can control them and update them. He argues that (...) the agency exercised in automated cars should be understood in terms of human–robot collaborations. This brief note focuses on the problem that arises when there are multiple people involved, but there is no obvious shared collaboration among them. Building on John Danaher’s discussion of command responsibility, it is argued that, although Nyholm might be right that autonomous cars cannot be regarded as acting on their own, independently of any human beings, worries about responsibility-gaps and retribution-gaps are still justified, because it often remains unclear how to allocate or distribute responsibility satisfactorily among the key humans involved after they have been successfully identified. (shrink)

The applications of machine learning and deep learning to the natural sciences has fostered the idea that the automated nature of algorithmic analysis will gradually dispense human beings from scientific work. In this paper, I will show that this view is problematic, at least when ML is applied to biology. In particular, I will claim that ML is not independent of human beings and cannot form the basis of automated science. Computer scientists conceive their work as being a (...) case of Aristotle’s poiesis perfected by techne, which can be reduced to a number of straightforward rules and technical knowledge. I will show a number of concrete cases where at each level of computational analysis, more is required to ML than just poiesis and techne, and that the work of ML practitioners in biology needs also the cultivation of something analogous to phronesis, which cannot be automated. But even if we knew how to frame phronesis into rules, still this virtue is deeply entrenched in our biological constitution, which computers lack. Whether computers can fully perform scientific practice independently of humans is an ill-posed question. (shrink)

The principles of automation in animal development, as previously inferred from the concept of Cell Sociology do not fit in well with the current concept of sequential gene derepression. A more adequate explanation for those principles has been found in the literature dealing with the biochemical aspects of differentiation. Since oocytes and embryonic cells contain a greater variety of mRNAs than differentiated cells, as well as many tissue-specific (luxury) substances, it is concluded that the diversification of tissues consists of (...) a progressive selection of specific metabolic strategies, mediated by cell-to-cell contacts, from a broad range of pre-existing strategies. For each tissue, prior to its final determination, one luxury metabolic strategy is progressively intensified and becomes dominant. The others are either suppressed or maintained as latent metabolic strategies. The latter may on occasion become dominant again (transdifferentiation). These phenomena require a theory which considers gene regulation as the activation of otherwise repressed genes by specific activator RNAs. The high (apparently maximal) transcriptional activity on the lampbrush chromosomes may represent the synthesis of all the kinds of activator RNAs which are required for the reactivation of the genes during early development. A general conception is propounded of the automatism and programming of animal development, as inferred from the confrontation of these ideas with the concept of Cell Sociology. (shrink)

By analysing the policies and ideas of German social democracy, the British Labour Party and the Italian Communist Party, this article explores their attitude towards science and their imagination of the future in the 1950s. Deeply different, social democrats and communists shared a positivist attitude in favour of scientific progress and high modernity. This painted their attitude towards the space race, peaceful nuclear power and automation. Science was conceived as a neutral power to be supported, but it required political guidance (...) to harness it and turned it into social progress. Thus, their disagreement was over the political implications for capitalist societies experiencing growing prosperity. Science was also a powerful rhetorical argument to castigate the conservatives for failing the nation and allowing it to decline and fall behind its competitors. The article combines comparison and transnational history, innovating the latter by introducing the concepts of horizontal, vertical and antagonistic transnationalism. (shrink)

The use of predictive machine learning algorithms is increasingly common to guide or even take decisions in both public and private settings. Their use is touted by some as a potentially useful method to avoid discriminatory decisions since they are, allegedly, neutral, objective, and can be evaluated in ways no human decisions can. By (fully or partly) outsourcing a decision process to an algorithm, it should allow human organizations to clearly define the parameters of the decision and to, in (...) principle, remove human biases. Yet, in practice, the use of algorithms can still be the source of wrongful discriminatory decisions based on at least three of their features: the data-mining process and the categorizations they rely on can reconduct human biases, their automaticity and predictive design can lead them to rely on wrongful generalizations, and their opaque nature is at odds with democratic requirements. We highlight that the two latter aspects of algorithms and their significance for discrimination are too often overlooked in contemporary literature. Though these problems are not all insurmountable, we argue that it is necessary to clearly define the conditions under which a machine learning decision tool can be used. We identify and propose three main guidelines to properly constrain the deployment of machine learning algorithms in society: algorithms should be vetted to ensure that they do not unduly affect historically marginalized groups; they should not systematically override or replace human decision-making processes; and the decision reached using an algorithm should always be explainable and justifiable. (shrink)

Communist successor parties in Central and Eastern Europe have adapted to the new realities according to a popular model differentiating between pragmatic reform and leftist retreat. The Bulgarian Socialist Party, which succeeded the ruling Communists, seems to diverge from this model, neither fully transforming into a Western European social democratic formation nor remaining a Communist one while keeping elements of both. The reasons behind this ambivalent position are examined according to the party’s orientation toward its own past in its (...) three dimensions: program messages, voters’ attitudes and commemoration of Communist legacy. (shrink)

Means of transportation are changing through advances in automation. One issue to be considered in this development is public opinion regarding these systems, yet existing studies of automated transportation do not provide theoretical or methodological means for exploring public imagination, even though this would be relevant in exploring public acceptance of future technologies. Applied for studying public views on a future automated metro system, a method was devised that includes quantitative and qualitative analysis of media and questionnaire data. (...) Although supportive arguments dominated media discussion, people’s attitudes were negative. The two most prominent models of media influence, repetition and cultural resonance, could not fully explain the results; therefore, public imagination, which reflected daily experiences and science fiction, was explored with reference to social representations literature. It is suggested in general that public imagination, along with media discourses and societal settings that contribute to explanations, should be considered in the design and study of automated systems. It is also discussed that the social representations approach could be beneficial for media frame studies by providing explications as to why certain frames might have or lack cultural resonance. (shrink)

Adapting gross motor movement to match the tempo of auditory rhythmic stimulation is a complex skill with a long developmental trajectory. Drumming tasks have previously been employed with infants and young children to measure the emergence of rhythmic entrainment, and may provide a tool for identification of those with atypical rhythm perception and production. Here we describe a new protocol for measuring infant rhythmic movement that can be employed at scale. In the current study, 50 two-year-olds drummed along with the (...) audiovisual presentation of four steady rhythms, using videos of isochronous drumming at 400, 500, 600, and 700 ms IOI, and provided their spontaneous motor tempo by drumming in silence. Toddlers’ drumming is observed from video recordings made in participants’ own homes, obtained via the Lookit platform for online infant studies. We use OpenPose deep-learning model to generate wireframe estimates of hand and body location for each video. The vertical displacement of the hand was extracted, and the power and frequency of infants’ rhythmic entrainment quantified using Fast Fourier Transforms. We find evidence for age-appropriate tempo-flexibility in our sample. Our results demonstrate the feasibility of a fully digital approach to measuring rhythmic entrainment from within the participant’s home, from early in development. (shrink)

During Socialism, the “women’s issue” was among the key state policies in Albania. The emancipation issue followed a pattern similar to other socialist countries, called the “women’s emancipation model”. It was part both of the state rhetoric and the general need to include women in the “socialist transformative processes”. This involved policies that supported women’s participation in the productive labour force, as well as the introduction of new laws that promoted the equality between men and women. A reconfiguration of gender (...) roles and the gender division of tasks occurred during socialism. In Albania, this process had two distinct phases. From 1944 onward women’s emancipation was thought of in terms of their participation as an additional force in the post-war reconstruction effort, even though sporadic and aligned with the primary political needs of the regime. The second phase occurred during the ‘60s following the Party’s directive “For the complete emancipation of women”. This phase was considered strategic as it coincided with the efforts to industrialize the country and to eventually fully centralize the control over the territory. This paper aims to investigate the entanglements between gender propaganda and gender practices. For this purpose, we analyse various party speeches and policies as well as examples of “heroines” and propaganda movies. A thorough analysis of State Archives and other documents was undertaken to substantiate this investigation. (shrink)

Could translation be fully automated? We must first acknowledge the complexity, ambiguity, and diversity of natural languages. These aspects of natural languages, when combined with a particular dilemma known as the computational dilemma, appear to imply that the machine translator faces certain obstacles that a human translator has already managed to overcome. At the same time, science has not yet solved the problem of how human brains process natural languages and how human beings come to acquire natural language (...) understanding. We will then distinguish between the task of translation and the responsibility of the translator. Thereafter, we will conduct a survey of the methods of machine translation (viz. RBMT, SMT, NMT, foundation models or large language models). These methods will then be critically evaluated both in general and relative to Bar-Hillel’s hypothesis about the impossibility of fully automatic, high-quality machine translation (F ahqmt ). Some concluding remarks will be made about the scope, prospects, and limits of machine translation. (shrink)

In preference aggregation a set of individuals express preferences over a set of alternatives, and these preferences have to be aggregated into a collective preference. When preferences are represented as orders, aggregation procedures are called social welfare functions. Classical results in social choice theory state that it is impossible to aggregate the preferences of a set of individuals under different natural sets of axiomatic conditions. We define a first-order language for social welfare functions and we give a complete axiomatisation for (...) this class, without having the number of individuals or alternatives specified in the language. We are able to express classical axiomatic requirements in our first-order language, giving formal axioms for three classical theorems of preference aggregation by Arrow, by Sen, and by Kirman and Sondermann. We explore to what extent such theorems can be formally derived from our axiomatisations, obtaining positive results for Sen’s Theorem and the Kirman-Sondermann Theorem. For the case of Arrow’s Theorem, which does not apply in the case of infinite societies, we have to resort to fixing the number of individuals with an additional axiom. In the long run, we hope that our approach to formalisation can serve as the basis for a fully automated proof of classical and new theorems in social choice theory. (shrink)

Social bots – partially or fully automated accounts on social media platforms – have not only been widely discussed, but have also entered political, media and research agendas. However, bot detection is not an exact science. Quantitative estimates of bot prevalence vary considerably and comparative research is rare. We show that findings on the prevalence and activity of bots on Twitter depend strongly on the methods used to identify automated accounts. We search for bots in political discourses (...) on Twitter, using three different bot detection methods: Botometer, Tweetbotornot and “heavy automation”. We drew a sample of 122,884 unique user Twitter accounts that had produced 263,821 tweets contributing to five political discourses in five Western democracies. While all three bot detection methods classified accounts as bots in all our cases, the comparison shows that the three approaches produce very different results. We discuss why neither manual validation nor triangulation resolves the basic problems, and conclude that social scientists studying the influence of social bots on communication and discourse dynamics should be careful with easy-to-use methods, and consider interdisciplinary research. (shrink)

This paper argues that even though massive technological unemployment will likely be one of the results of automation, we will not need to institute mass-scale redistribution of wealth to deal with its consequences. Instead, reasons are given for cautious optimism about the standards of living the newly unemployed workers may expect in the fully-automated future. It is not claimed that these predictions will certainly bear out. Rather, they are no less likely to come to fruition than the predictions (...) of those authors who predict that massive technological unemployment will lead to the suffering of the masses on such a scale that significant redistributive policies will have to be instituted to alleviate it. Additionally, the paper challenges the idea that the existence of a moral obligation to help the victims of massive unemployment justifies the coercive taking of anyone else’s property. (shrink)

Since the launch of applications such as DALL-E, Midjourney, and Stable Diffusion, generative artificial intelligence has been controversial as a tool for creating artwork. While some have presented longtermist worries about these technologies as harbingers of fully automated futures to come, more pressing is the impact of generative AI on creative labour in the present. Already, business leaders have begun replacing human artistic labour with AI-generated images. In response, the artistic community has launched a protest movement, which argues (...) that AI image generation is a kind of theft. This paper analyzes, substantiates, and critiques these arguments, concluding that AI image generators involve an unethical kind of labour theft. If correct, many other AI applications also rely upon theft. (shrink)

Causal reasoning is an aspect of learning, reasoning, and decision-making that involves the cognitive ability to discover relationships between causal relata, learn and understand these causal relationships, and make use of this causal knowledge in prediction, explanation, decision-making, and reasoning in terms of counterfactuals. Can we fully automate causal reasoning? One might feel inclined, on the basis of certain groundbreaking advances in causal epistemology, to reply in the affirmative. The aim of this paper is to demonstrate that one still (...) has good skeptical grounds for resisting any conclusions in favour of the automation of causal reasoning. If by causal reasoning is meant the entirety of the process through which we discover causal relationships and make use of this knowledge in prediction, explanation, decision-making, and reasoning in terms of counterfactuals, then one relies besides on tacit knowledge, as might be constituted by or derived from the epistemic faculty virtues and abilities of the causal reasoner, the value systems and character traits of the causal reasoner, the implicit knowledge base available to the causal reasoner, and the habits that sustain our causal reasoning practices. While certain aspects of causal reasoning may be axiomatized and formalized and algorithms may be implemented to approximate causal reasoning, one has to remain skeptical about whether causal reasoning may be fully automated. This demonstration will involve an engagement with Meno’s Paradox. (shrink)

Individuality and collectivity are central concepts in sociological inquiry. Incorporating cultural history, social theory, urban and economic sociology, Borch proposes an innovative rethinking of these key terms and their interconnections via the concept of the social avalanche. Drawing on classical sociology, he argues that while individuality embodies a tension between the collective and individual autonomy, certain situations, such as crowds and other moments of group behaviour, can subsume the individual entirely within the collective. These events, or social avalanches, produce an (...) experience of being swept away suddenly and losing one's sense of self. Cities are often on the verge of social avalanches, their urban inhabitants torn between de-individualising external pressure and autonomous self-presentation. Similarly, Borch argues that present-day financial markets, dominated by computerised trading, abound with social avalanches and the tensional interplay of mimesis and autonomous decision-making. Borch argues that it is no longer humans but fully automated algorithms that avalanche in these markets. (shrink)

Machines will attain human levels of intelligence by the year 2040, predicts robotics expert Hans Moravec. And by 2050, they will have far surpassed us. In this mind-bending new book, Hans Moravec takes the reader on a roller coaster ride packed with such startling predictions. He tells us, for instance, that in the not-too-distant future, an army of robots will displace workers, causing massive, unprecedented unemployment. But then, says Moravec, a period of very comfortable existence will follow, as humans benefit (...) from a fully automated economy. And eventually, as machines evolve far beyond humanity, robots will supplant us. But if Moravec predicts the end of the domination by human beings, his is not a bleak vision. Far from railing against a future in which machines rule the world, Moravec embraces it, taking the startling view that intelligent robots will actually be our evolutionary heirs. "Intelligent machines, which will grow from us, learn our skills, and share our goals and values, can be viewed as children of our minds." And since they are our children, we will want them to outdistance us. In fact, in a bid for immortality, many of our descendants will choose to transform into "ex humans," as they upload themselves into advanced computers. We will become our children and live forever. In his provocative new book, the highly anticipated follow-up to his bestselling volume Mind Children, Moravec charts the trajectory of robotics in breathtaking detail. A must read for artificial intelligence, technology, and computer enthusiasts, Moravec's freewheeling but informed speculations present a future far different than we ever dared imagine. (shrink)

ABSTRACTIn keeping with the dominant view that skills are largely automatic, the standard view of memory systems distinguishes between a representational declarative system associated with cognitive processes and a performance-based procedural system. The procedural system is thought to be largely responsible for the performance of well-learned skilled actions. Here we argue that most skills do not fully automate, which entails that the declarative system should make a substantial contribution to skilled performance. To support this view, we review evidence showing (...) that the declarative system does indeed play a number of roles in skilled action. (shrink)

Algorithmic decision-making based on profiling may significantly affect people’s destinies. As a rule, however, explanations for such decisions are lacking. What are the chances for a “right to explanation” to be realized soon? After an exploration of the regulatory efforts that are currently pushing for such a right it is concluded that, at the moment, the GDPR stands out as the main force to be reckoned with. In cases of profiling, data subjects are granted the right to receive meaningful information (...) about the functionality of the system in use; for fully automated profiling decisions even an explanation has to be given. However, the trade secrets and intellectual property rights (IPRs) involved must be respected as well. These conflicting rights must be balanced against each other; what will be the outcome? Looking back to 1995, when a similar kind of balancing had been decreed in Europe concerning the right of access (DPD), Wachter et al. (2017) find that according to judicial opinion only generalities of the algorithm had to be disclosed, not specific details. This hardly augurs well for a future right of access let alone to explanation. Thereupon the landscape of IPRs for machine learning (ML) is analysed. Spurred by new USPTO guidelines that clarify when inventions are eligible to be patented, the number of patent applications in the US related to ML in general, and to “predictive analytics” in particular, has soared since 2010—and Europe has followed. I conjecture that in such a climate of intensified protection of intellectual property, companies may legitimately claim that the more their application combines several ML assets that, in addition, are useful in multiple sectors, the more value is at stake when confronted with a call for explanation by data subjects. Consequently, the right to explanation may be severely crippled. (shrink)

We present a computer-supported approach for the logical analysis and conceptual explicitation of argumentative discourse. Computational hermeneutics harnesses recent progresses in automated reasoning for higher-order logics and aims at formalizing natural-language argumentative discourse using flexible combinations of expressive non-classical logics. In doing so, it allows us to render explicit the tacit conceptualizations implicit in argumentative discursive practices. Our approach operates on networks of structured arguments and is iterative and two-layered. At one layer we search for logically correct formalizations for (...) each of the individual arguments. At the next layer we select among those correct formalizations the ones which honor the argument’s dialectic role, i.e. attacking or supporting other arguments as intended. We operate at these two layers in parallel and continuously rate sentences’ formalizations by using, primarily, inferential adequacy criteria. An interpretive, logical theory will thus gradually evolve. This theory is composed of meaning postulates serving as explications for concepts playing a role in the analyzed arguments. Such a recursive, iterative approach to interpretation does justice to the inherent circularity of understanding: the whole is understood compositionally on the basis of its parts, while each part is understood only in the context of the whole. We summarily discuss previous work on exemplary applications of human-in-the-loop computational hermeneutics in metaphysical discourse. We also discuss some of the main challenges involved in fully-automating our approach. By sketching some design ideas and reviewing relevant technologies, we argue for the technological feasibility of a highly-automated computational hermeneutics. (shrink)

The issue of how to identify the liability of subjects after a traffic accident takes place remains a puzzle regarding the SAE classification system. The SAE system is not good at dealing with the problem of responsibility evaluation; therefore, building a new classification system for self-driving cars from the perspective of the subject's liability is a possible way to solve this problem. This new system divides automated driving into three levels: i) assisted driving based on the will of drivers, (...) ii) automated driving based on the will of the manufacturers, and iii) fully automated driving based on social will. The corresponding responsible subjects for level one, level two, and level three are the drivers, the manufacturers, and society, respectively. (shrink)

Autonomous vehicles have the potential to save tens of thousands of lives, but legal and social barriers may delay or even deter manufacturers from offering fully automated vehicles and thereby cost lives that otherwise could be saved. Moral philosophers use “thought experiments” to teach us about what ethics might say about the ethical behavior of AVs. If a manufacturer designing an AV decided to make what it believes is an ethical choice to save a large group of lives (...) by steering away from the large group towards a single individual, could the manufacturer be liable to that single individual? I believe the answer is yes. This article discusses famous “trolley problem” thought experiments in moral philosophy, which news articles have recently applied to AVs. After establishing a hypothetical case, applying product liability law to AV behavior may show a way, in some jurisdictions, that will permit a manufacturer to implement an ethical choice without triggering liability, but liability risk remains. I then turn to possible traditional defenses to see if they prevent liability for a manufacturer making what it believes is an ethical design choice—necessity, defense of self, and the sudden emergency doctrine. None of them provides an effective defense. Under current law, maximizing collision avoidance appears to minimize legal risk. I conclude that the only way to provide effective protection to a manufacturer seeking to implement ethical choices about AV behavior is through special legislation or regulation. (shrink)

In the literature, the term code-mixing/switching refers to instances of language mixing in which speakers/signers combine properties of two or more languages in their utterances. Such a linguistic behavior is typically discussed in the context of multilinguals, and experts commonly focus on the form of language mixing/switching and its cross-linguistic commonalities. Not much is known, however, about how the knowledge of code-mixing comes about. How come any speaker/signer having access to more than one externalization channel (spoken or signed) code-mixes spontaneously? (...) Likewise, why do both neurotypical speakers/signers and certain neuro-atypical speakers/signers produce structurally similar mixing types? This paper offers some answers to these questions arguing that the cognitive process underlying code-mixing is a basic property of the human learning device: recombination, a fully automated cognitive process. Recombination is innate: it allows learners to select relevant linguistic features from heterogeneous inputs, and recombine then into new syntactic objects as part of their mental grammars whose extensions, arguably individual idiolects, represents what Aboh (2015a, 2019a, b) characterizes as hybrid grammars. (shrink)

ABSTRACTComputers are now able to automatically generate metaphors, but some automatically generated metaphors are more well received than others. In this article, we showed participants a series of “A is B” type metaphors that were either generated by humans or taken from the Twitter account “MetaphorIsMyBusiness”, which is linked to a fully automated metaphor generator. We used these metaphors to assess linguistic factors that drive metaphor appreciation and understanding, including the role of novelty, word frequency, concreteness, and emotional (...) valence of the topic and vehicle terms. We additionally assessed how these metaphors were understood in three languages, including English, Spanish, and Mandarin Chinese, and whether participants thought they had been generated by a human or a computer. We found that meaningfulness, appreciation, speed in finding meaning, and humanness ratings were reliably correlated with each other in all three languages, which we interpret to indicate a mor... (shrink)

In this paper, we study the effects of using an algorithm-based risk assessment instrument (RAI) to support the prediction of risk of violent recidivism upon release. The instrument we used is a machine learning version of RiskCanvi used by the Justice Department of Catalonia, Spain. It was hypothesized that people can improve their performance on defining the risk of recidivism when assisted with a RAI. Also, that professionals can perform better than non-experts on the domain. Participants had to predict whether (...) a person who has been released from prison will commit a new crime leading to re-incarceration, within the next two years. This user study is done with (1) general participants from diverse backgrounds recruited through a crowdsourcing platform, (2) targeted participants who are students and practitioners of data science, criminology, or social work and professionals who work with RisCanvi. We also run focus groups with participants of the targeted study, including people who use RisCanvi in a professional capacity, to interpret the quantitative results. Among other findings, we observe that algorithmic support systematically leads to more accurate predictions from all participants, but that statistically significant gains are only seen in the performance of targeted participants with respect to that of crowdsourced participants. Among other comments, professional participants indicate that they would not foresee using a fully-automated system in criminal risk assessment, but do consider it valuable for training, standardization, and to fine-tune or double-check their predictions on particularly difficult cases. We found that the revised prediction by using a RAI increases the performance of all groups, while professionals show a better performance in general. And, a RAI can be considered for extending professional capacities and skills along their careers. (shrink)

A discussion concerning whether to conceive Artificial Intelligence systems as responsible moral entities, also known as “artificial moral agents”, has been going on for some time. In this regard, we argue that the notion of “moral agency” is to be attributed only to humans based on their autonomy and sentience, which AI systems lack. We analyze human responsibility in the presence of AI systems in terms of meaningful control and due diligence and argue against fully automated systems in (...) medicine. With this perspective in mind, we focus on the use of AI-based diagnostic systems and shed light on the complex networks of persons, organizations and artifacts that come to be when AI systems are designed, developed, and used in medicine. We then discuss relational criteria of judgment in support of the attribution of responsibility to humans when adverse events are caused or induced by errors in AI systems. (shrink)

Development-oriented funding schemes such as the UK Global Challenges Research Fund (GCRF) have opened up opportunities for collaborations between low-middle income countries (LMICs) and high-income country (HIC) researchers. In particular, funding for medical technology research has seen a rise in previously under-represented disciplines such as physics and engineering. These collaborations have considerable potential to advance healthcare in LMICs, yet can pose challenges experienced to researchers undertaking these collaborations. Key challenges include a lack of tradition of HIC/LMIC collaborations within participating departments, (...) lack of experience with development agendas, designing contextually-appropriate technologies and ensuring long-term viability of research outputs. This paper reflects on these key challenges, using the experiences of the authors on the Open Laboratory Instrumentation (OLI) project as a focalizing lens. This project was a GCRF-funded collaboration between physicists in the UK and engineers in Tanzania to develop an open-source, 3D-printed, fully-automated laboratory microscope. The paper highlights key ethics lessons learnt. (shrink)

Development-oriented funding schemes such as the UK Global Challenges Research Fund (GCRF) have opened up opportunities for collaborations between low-middle income countries (LMICs) and high-income country (HIC) researchers. In particular, funding for medical technology research has seen a rise in previously under-represented disciplines such as physics and engineering. These collaborations have considerable potential to advance healthcare in LMICs, yet can pose challenges experienced to researchers undertaking these collaborations. Key challenges include a lack of tradition of HIC/LMIC collaborations within participating departments, (...) lack of experience with development agendas, designing contextually-appropriate technologies and ensuring long-term viability of research outputs. This paper reflects on these key challenges, using the experiences of the authors on the Open Laboratory Instrumentation (OLI) project as a focalizing lens. This project was a GCRF-funded collaboration between physicists in the UK and engineers in Tanzania to develop an open-source, 3D-printed, fully-automated laboratory microscope. The paper highlights key ethics lessons learnt. (shrink)

Development-oriented funding schemes such as the UK Global Challenges Research Fund (GCRF) have opened up opportunities for collaborations between low-middle income countries (LMICs) and high-income country (HIC) researchers. In particular, funding for medical technology research has seen a rise in previously under-represented disciplines such as physics and engineering. These collaborations have considerable potential to advance healthcare in LMICs, yet can pose challenges experienced to researchers undertaking these collaborations. Key challenges include a lack of tradition of HIC/LMIC collaborations within participating departments, (...) lack of experience with development agendas, designing contextually-appropriate technologies and ensuring long-term viability of research outputs. This paper reflects on these key challenges, using the experiences of the authors on the Open Laboratory Instrumentation (OLI) project as a focalizing lens. This project was a GCRF-funded collaboration between physicists in the UK and engineers in Tanzania to develop an open-source, 3D-printed, fully-automated laboratory microscope. The paper highlights key ethics lessons learnt. (shrink)

:Any space program involving long-term human missions will have to cope with serious risks to human health and life. Because currently available countermeasures are insufficient in the long term, there is a need for new, more radical solutions. One possibility is a program of human enhancement for future deep space mission astronauts. This paper discusses the challenges for long-term human missions of a space environment, opening the possibility of serious consideration of human enhancement and a fully automated space (...) exploration, based on highly advanced AI. The author argues that for such projects, there are strong reasons to consider human enhancement, including gene editing of germ line and somatic cells, as a moral duty. (shrink)

In the age of artificial intelligence, writing machines or robot authors have already begun to produce narrative texts in a variety of genres, including short stories and poetry, as well as journalistic articles. This article is based on the prospect that the narrative ecosystem is in a transitional period of decisive disconnection as it enters the era of artificial intelligence. The primary force driving this transition is the formidable execution of artificial intelligence algorithms, which fully automate narrative communication and (...) narrative works. This article attempts to lay the groundwork for building a new paradigm of post-narrativity through a critical examination of several detailed themes in narrative semiotics and non-anthropocentric narratology. The process of narrative creation based on artificial intelligence algorithms is a key condition that constitutes post-narrativity. This presupposes a non-anthropocentric view. In the landscape of post-narrativity, human writers, paper books, computer screens, and invisible narrative algorithms are all agents with equal influence. Automated narrative production by algorithms accelerates the repositioning of other existing media and actors, and changes the narrative ecosystem by incorporating new elements into activities such as production, distribution, and reception of narratives. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Spirometer, Whale, Slave:Breathing Emergencies, c. 1850John Durham Peters (bio)Breath dramatically starts with a slap at birth and ceases with death and yet we typically ignore it until it is under duress. Unlike marine mammals such as whales and dolphins who can never fully automate breathing—they sleep one brain hemisphere at a time so as to keep conscious watch, like yogis, over their respiration—we humans are mostly somnambulists with (...) regard to breath. Unlike our briny cousins, we won't drown if we neglect our breath. Our relatively accommodating habitat at the fold of lithosphere and atmosphere enables a Lethe of oblivion, though many elements of our world are hostile to breath: water, fire, earth, extremes of height, heat, or cold. Nothing could be more fundamental for aerobic terrestrial creatures than breathing. So its routine cloaking in impercipience must somehow be functional and require a great deal of nervous expenditure. (It always takes a lot of work to make an infrastructure invisible.)Breathing is a good test case for the notion, common to many variants of critical theory, that nature for humans is always second nature: what would it mean to find culture, history, and politics in something that is so relentlessly universal and given? The intensity of the urge for drink, food, sex, or sleep pales compared to that of taking a breath withheld or expelling a breath too long held. Here, it seems, desire and need converge. Breathing morphs into awareness, art and artifice when threat, absence or curiosity rouse it from its slumber—when we swim, have a coughing fit, sing, or challenge someone to a breath-holding contest. Under the earth in a mine, high in the air on a mountain or airplane, ill with a respiratory disease, or in other extreme situations, we need techniques and technologies to breathe. Like everything supposedly natural, we can't leave breathing in peace. We mold breath in techniques of speech, song, and prayer and in technologies of diving, medicine, and air travel. A full accounting of such would form a full encyclopedia of human ingenuity.1 [End Page 85]With typical flamboyance, Peter Sloterdijk declared that the atmosphere first ceased to be taken for granted, i.e., became technical, a matter of art, on 22 April 1915, with the German deployment of poison gas in World War I. On a world-historical scale, he takes this weaponization of the environment as an "air-quake" that launched modern air-conditioning in its most literal sense of climatization (as French and German has it) and not just interior cooling (Sloterdijk 89-110 passim). We need a history of comparative breathing emergencies! Every era, like every life, has its encounters with the precarity of breathing, even if not as conveniently dated or climate-change prognostic as 22 April 1915. The urban concentration of human population starting a few thousand years ago, for instance, made people co-breathers (con-spirators) in new ways and thus more prone to the contagious respiratory illnesses that have long ravaged our species.I want to look at one such moment—one marked by a deadly global respiratory illness, new instruments for producing data, worries about radical alterations to the atmosphere, comparative interest in nonhuman forms of life, and the politicization of breathing. 1850, like 2020, was a moment when breath awoke from its autonomic quiet. The nineteenth century was the great age of tuberculosis, the tragic and romantic lung disease. It was a time of fog, smoke, and mud, of climate-changing volcanic eruptions and a year without a summer, and of a mysterious, brooding "storm-cloud" that John Ruskin complained of so bitterly. Medical instruments, the whaling industry, and struggles for the abolition of slavery all brought the lungs into the foreground.SpirometerThe nineteenth century was also the great age of instrumentation. Light and sound were only the two most famous dynamic processes to yield to new graphic methods of inscription such as photography and phonography. The spirometer was one of many devices designed to render visual data of physiological functions, such as the myograph, the flame manometer, sphygmomanometer, and the kymograph. Many of them are still in use. The invention... (shrink)

Fifty years of effort in artificial intelligence (AI) and the formalization of legal reasoning have produced both successes and failures. Considerable success in organizing and displaying evidence and its interrelationships has been accompanied by failure to achieve the original ambition of AI as applied to law: fully automated legal decision-making. The obstacles to formalizing legal reasoning have proved to be the same ones that make the formalization of commonsense reasoning so difficult, and are most evident where legal reasoning (...) has to meld with the vast web of ordinary human knowledge of the world. Underlying many of the problems is the mismatch between the discreteness of symbol manipulation and the continuous nature of imprecise natural language, of degrees of similarity and analogy, and of probabilities. (shrink)

The use of the Internet in conducting psychological research has become increasingly common over the past few decades, as Internet access has become more widespread. Although web-based work has a number of benefits, including lower cost, easy access to large samples, and strict standardization of administration, the limitations must also be considered. Among these limitations are the ethics concerns related to conducting psychological research online. These concerns include limitations in maintaining confidentiality, conducting thorough informed consent, and conducting valid assessment. Particular (...) focus is given to the limitations inherent in conducting a fully automated online study. All of these limitations are discussed in detail through both a review of existing literature and the brief review of a recent study. The recent study identified areas in which participants struggled with completing a fully automated online task. This article discusses the ethics implications of Internet research as well as offering suggestions for researchers who intend to conduct web-based research, and thoughts on future directions as psychology moves forward in web-based research and assessment. (shrink)

Science is increasingly becoming automated. Tasks yet to be fully automated include the conjecturing, modifying, extending and testing of hypotheses. At present scientists have an array of methods to help them carry out those tasks. These range from the well-articulated, formal and unexceptional rules to the semi-articulated and variously understood rules-of-thumb and intuitive hunches. If we are to hand over at least some of the aforementioned tasks to machines, we need to clarify, refine and make formal, not (...) to mention computable, even the more obscure of the methods scientists successfully employ in their inquiries. The focus of this essay is one such less-than-transparent methodological rule. I am here referring to the rule that ad hoc hypotheses ought to be spurned. This essay begins with a brief examination of some notable conceptions of ad hoc-ness in the philosophical literature. It is pointed out that there is a general problem afflicting most such conceptions, namely the intuitive judgments that are supposed to motivate them are not universally shared. Instead of getting bogged down in what ad hoc-ness exactly means, I shift the focus of the analysis to one undesirable feature often present in alleged cases of ad hoc-ness. I call this feature the ‘monstrousness’ of a hypothesis. A fully articulated formal account of this feature is presented by specifying what it is about the internal constitution of a hypothesis that makes it monstrous. Using this account, a monstrousness measure is then proposed and somewhat sketchily compared with the minimum description length approach. (shrink)