The aim of the article is reflecting on a fundamental epistemological issue which characterises our present technological progress: where are we heading to, as humankind, while we are progressively externalising our most crucial decision processes towards algorithms, from which decisive data, coming from human experience and mind, are left out? By reflecting on some cases, I shall try to argue that the most puzzling issue which engineers and philosophers should be aware that they have to jointly challenge may be that (...) what we are actually doing through algorithmic automatisation is developing a novel human condition, according to which: we are progressively thinking that algorithmic abstraction is always better than mental abstraction, because, at least in the Western culture, we come from a history of a progressive restriction of the best use of our minds to the realm of rationality, first, then to the realm of computation, second, and then to the realm of algorithmic automatisation, third, which finally exceeds our minds and in doing so, we are progressively externalising not only human contents, but also human abilities, i.e., we are progressively atrophying ourselves, by becoming creatures who are progressively delegating the core of their very essence, which has always included the epistemological ability, together with the ethical courage, of making complex decisions on both our lives and the others’ lives. (shrink)

Unentwegt werden neue technische Produkte gestaltet. Doch was macht die technische Gestaltung aus? Wie lässt sich ihr Gegenstand - (noch) nicht existierende Artefakte - adäquat auf den Begriff bringen? Michael Kuhn begreift technische Ideen vor ihrer Realisierung als Fiktionen. Er bietet eine fiktionstheoretische Rekonstruktion der Gestaltungstätigkeit und entwickelt hieraus eine Ethik der Gestaltung. Der stark interdisziplinäre Zugang zwischen Technikphilosophie und Ingenieurwissenschaften liefert neue Erkenntnisse für beide Fachrichtungen und stellt wertvolle Grundlagen bereit.

As artificial intelligence (AI) thrives and propagates through modern life, a key question to ask is how to include humans in future AI? Despite human involvement at every stage of the production process from conception and design through to implementation, modern AI is still often criticized for its “black box” characteristics. Sometimes, we do not know what really goes on inside or how and why certain conclusions are met. Future AI will face many dilemmas and ethical issues unforeseen by their (...) creators beyond those commonly discussed (e.g., trolley problems and variants of it) and to which solutions cannot be hard-coded and are often still up for debate. Given the sensitivity of such social and ethical dilemmas and the implications of these for human society at large, when and if our AI make the “wrong” choice we need to understand how they got there in order to make corrections and prevent recurrences. This is particularly true in situations where human livelihoods are at stake (e.g., health, well-being, finance, law) or when major individual or household decisions are taken. Doing so requires opening up the “black box” of AI; especially as they act, interact, and adapt in a human world and how they interact with other AI in this world. In this article, we argue for the application of cognitive architectures for ethical AI. In particular, for their potential contributions to AI transparency, explainability, and accountability. We need to understand how our AI get to the solutions they do, and we should seek to do this on a deeper level in terms of the machine-equivalents of motivations, attitudes, values, and so on. The path to future AI is long and winding but it could arrive faster than we think. In order to harness the positive potential outcomes of AI for humans and society (and avoid the negatives), we need to understand AI more fully in the first place and we expect this will simultaneously contribute towards greater understanding of their human counterparts also. (shrink)

Human beings are in the midst of very powerful shifts in our understanding of what it means to be a human. There is a non-trivial chance that sometime in the future humanity will transform itself, leading to an emergence of posthumans with God-like qualities – Homo Deificatio. Such a transformation has great potential for both good and bad. Posthumanism seeks to improve human nature, increase the human life- and health-span, extend its cognitive and physical capacities, and broaden its mastery over (...) the environment. As such, the notion of posthumanism implies a radical breaking off from, and reconceptualisation of, the state of being human. As neuroscientists, we aim to bring a neuroscientific perspective to this debate. Current scientific and technologic developments (related to brain and its augmentation) clearly demonstrate that what was formerly considered to be science fiction is slowly but firmly becoming a scientific reality. (shrink)

In this paper, we view creativity through the lens of innovation, a concept familiar to archaeologists across a range of contexts and theoretical perspectives. Most attempts to understand ancient innovation thus far, we argue, have been limited by their lack of capacity to cope with the multiple scales of innovation: Those that track widespread changes, like the beginnings of metallurgy, fail to account for the changes experiences by individual craftspeople; those that do justice to the details of the micro-scale, with (...) ‘thick’ description, cannot well explain the regional adoption of new practices. Here we develop an intermediary position, at the meso-scale, which we hope can serve to integrate these different scales. It is based on the notions that all innovation entails learning (and hence cognitive transformations) and that learning is very often supported at this meso-scale, through ‘communities of practice’. Drawing on the ethno-archaeological literature in particular, we emphasise how learning is a process of embodied cognition. Our archaeological case study is then drawn from the Bronze Age east Mediterranean, where a striking innovation in pottery making — the use of rotative kinetic energy via the potter’s wheel — sees a very uneven uptake from region to region over the course of many centuries. We propose certain differences in community organization from one region to another that might account for such variation in the adoption of an innovation, with the island of Crete in particular seeing a much more stable trajectory of adoption than many of its neighbouring areas. (shrink)

The role of speed in innovations needs to be explored more thoroughly. I advocate here that for innovations which rely on scarce materials, research into more abundant substitutes needs to be accelerated while a regulatory-driven extension of the product life should slow down the number of incremental innovations and reduce our overall footprint on scarce resources. Chemical elements need to be established as global commons whose overuse can be regulated if required. Part of the efficiency gains of innovations could be (...) used for research to offset the ‘rebound effect’ and provide the public with a return on early infrastructure investments. (shrink)

The nature and status of cultural evolution and its connection with biological evolution are controversial in part because of Richard Dawkin’s suggestion that the scientific study of culture should include “memetics,” an analog of genetics in which genes are replaced by “memes”—the hypothetical units of cultural evolution. Memetics takes different forms; I focus on its minimal form, which claims merely that natural selection shapes to some extent the evolution of some aspects of culture. Advocates and critics of memetics disagree about (...) the scientific status of memetics, but they agree that memetics must face the following fundamental problems. Problem 1: Cultural evolution differs too much from biological evolution. Problem 2: Culture is too complex. Problem 3: Memes are too difficult to identify and track. Problem 4: Memetics produces only trivial results. This paper examines these problems in the context of a minimal memetic analysis in one specific context: patented inventions. Technology is a special subset of culture, and patented inventions are a special subset of technology—not least because there is a detailed written record of every patent. I describe four recent empirical results on technological innovation derived from memetic analysis of the patent record. Result 1: Inkjet printing, PCR, and stents are key drivers of technological innovation. Result 2: Patent genealogies are tangled and incestuous. Result 3: Door-opening innovations drive the evolution of technology. Result 4: The evolving content of the drivers of innovation confirms the importance of inkjet printing, PCR, and stents, among other inventions. These results show that minimal memetics can provide a novel and illuminating analysis the evolution of patented technology. Furthermore, this memetic analysis can answer all of the main problems with memetics. Problem 1 can be dismissed because culture and biology can be quite disanalogous, provided that natural selection still operates in both. Problem 2 is a mirage, because memetic analysis of the patented inventions is consistent with the full richness and complexity of the evolution of technology. Problem 3 is easy to solve, because the patent record makes it trivial to identify and track patents and their key traits through lineages. Problem 4 can be fully answered only after memetic analysis becomes widespread, but the results reviewed here shows that minimal memetics does yield scientific results that are nontrivial and interesting. (shrink)

Whilst the Neoliberal alludes to an array of very real material practices and axioms of contemporary capitalism, the concept of Neoliberalism itself has arguably become moribund. Worse, perhaps it has become an asphyxiating and enervating monolith, a ‘ptolemization’ from which our critical thinking cannot escape. The key strategy of the article is to explore the Neoliberalism concept as a ‘mode of telling’, and how the constitutive moments of that concept have been discursively constructed into a hegemonic discursive formation. Whilst the (...) resultant paradigm of Neoliberalism has ironically been constituted out of the identity-thinking and the synthetic historicizing of its very critics, the article searches for alternative avenues of reconstitutive deconstruction, so as to offer both critical optimism and a more effective means of struggle against the material practices of contemporary capitalism. To this end, I shall indicate how overdetermination in conceptualization provides the opportunity to break down identity-thinking and how articulation can translate the material elements of contemporary capitalism into fresh moments of a counter-hegemonic discourse. (shrink)

We raise the new possibility that people diagnosed with developmental dyslexia (DD) are specialized in explorative cognitive search, and rather than having a neurocognitive disorder, play an essential role in human adaptation. Most DD research has studied educational difficulties, with theories framing differences in neurocognitive processes as deficits. However, people with DD are also often proposed to have certain strengths – particularly in realms like discovery, invention, and creativity – that deficit-centered theories cannot explain. We investigate whether these strengths reflect (...) an underlying explorative specialization. We re-examine experimental studies in psychology and neuroscience using the framework ofcognitive search, whereby many psychological processes involve a trade-off between exploration and exploitation. We report evidence of an explorative bias in DD-associated cognitive strategies. High DD prevalence and an attendant explorative bias across multiple areas of cognition suggest the existence of explorative specialization. An evolutionary perspective explains the combination of findings and challenges the view that individuals with DD have a disorder. In cooperating groups, individual specialization is favored when features that confer fitness benefits are functionally incompatible. Evidence for search specialization suggests that, as with some other social organisms, humans mediate the exploration–exploitation trade-off by specializing in complementary strategies. The existence of a system of collective cognitive search that emerges through collaboration would help to explain our species’ exceptional adaptiveness. It also aligns with evidence for substantial variability during our evolutionary history and the notion that humans are adapted not to a particular habitat but to variability itself. Specialization creates interdependence and necessitates balancing complementary strategies. Reframing DD therefore underscores the urgency of changing certain cultural practices to ensure we do not inhibit adaptation. Key improvements would remove cultural barriers to exploration and nurture explorative learning in education, academia, and the workplace, as well as emphasize collaboration over competition. Specialization in complementary search abilities represents a meta-adaptation; through collaboration, this likely enables human groups (as a species and as cultural systems) to successfully adapt. Cultural change to support this system of collaborative search may therefore be essential in confronting the challenges humanity now faces. (shrink)

Bioeconomy solutions potentially reduce the utilization demand of natural resources, and therefore, represent steps towards circular economy, but are not per se equivalent to sustainability. Thus, production may remain to be achieved against losses in natural resources or at other environmental costs, and materials produced by bioeconomy are not necessarily biodegradable. As a consequence, the assumption that emerging bioeconomy by itself provides an environmentally sustainable economy is not justified, as technologies do not necessarily become sustainable merely through their conversion to (...) using renewable resources for their production. A source of the above assumption is that the utility of bioeconomy is mostly assessed in interaction between technology developers and economists, resulting in biased assessment with private commercial technology benefits being included, but environmental costs, especially longer term ones, not being sufficiently considered in the economic models. A possible solution to this conceptual contradiction may come from bioethics, as a strong concept in environmental ethics is that no technological intervention can be imposed on nature beyond its receptive capacity. To achieve a better balanced analysis of bioeconomy, environmental and ecological, as well as non-economic social aspects, need to be included in the overall assessment. (shrink)

This essay is an attempt to construct an artificial dialog loosely modeled after that sought by Robert Maynard Hutchins who was a significant influence on many of us including and especially Robert Rosen. The dialog is needed to counter the deep and devastating effects of Cartesian reductionism on today’s world. The success of such a dialog is made more probable thanks to the recent book by A. Louie. This book makes a rigorous basis for a new paradigm, the one pioneered (...) by the late Robert Rosen. If we are to make such a paradigm shift happen, it has to be in the spirit of the dialog. The relationship between science, economics, technology and politics has to be openly recognized and dealt with. The message that Rosen sent to us has to be told outside small select circles of devotees. The situation has even been described by some as resembling a cult. This is no way for universal truths like these to be seen. The essay examines why this present situation has happened and identifies the systemic nature of the problem in terms of Rosen’s concepts about systems. The dialog involves works by George Lakoff, W. Brian Arthur, N. Katherine Hayles, Robert Reich and Dorion Sagan. These scholars each have their own approach to identifying the nature of the interacting systems that involve human activity and the importance of identifying levels of abstraction in analyzing systems. Pooling their insights into different facets of a complex system is very useful in constructing a model of the self referential system that humans and their technology have shaped. The role of the human component in the whole earth system is the goal of the analysis. The impact of the Cartesian reductionist paradigm on science and the related aspects of human activity are examined to establish an explanation for the isolation of Rosen’s paradigm. The possible way to proceed is examined in the conclusion. (shrink)

In the present techno-political moment it is clear that ignoring or dismissing the hype surrounding blockchain is unwise, and certainly for regulatory authorities and governments who must keep a grip on the technology and those promoting it, in order to ensure democratic accountability and regulatory legitimacy within the blockchain ecosystem and beyond. Blockchain is telling us something very important about the evolution of capital and neoliberal economic reason, and the likely impact in the near future on forms and patterns of (...) work, social organization, and, crucially, on communities and individuals who lack influence over the technologies and data that increasingly shape and control their lives. In this short essay I introduce some of the problems in the regulation of blockchain and offer counter-narratives aimed at cutting through the hype fuelling the ascendency of this most contemporary of technologies. (shrink)

Philosophy may relate to interdisciplinarity in two distinct ways On the one hand, philosophy may play an auxiliary role in the process of interdisciplinarity, typically through conceptual analysis, in the understanding that the disciplines themselves are the main epistemic players. This version of the relationship I characterise as ‘normal’ because it captures the more common pattern of the relationship, which in turn reflects an acceptance of the division of organized inquiry into disciplines. On the other hand, philosophy may be itself (...) the site for the production of interdisciplinary knowledge, understood as a kind of second-order understanding of reality that transcends the sort of knowledge that the disciplines provide, left to their own devices. This is my own position, which I dub ‘deviant’ and to which most of this article is devoted. I begin by relating the two types of interdisciplinarity to the organization of inquiry, especially their respective attitudes to the history of science. Underlying the two types are contrasting notions of what constitutes the ‘efficient’ pursuit of knowledge. This difference is further explored in terms of the organization of the university. The normal/deviant distinction was already marked in the institution’s medieval origins in terms of the difference between Doctors and Masters, respectively, an artefact of which remains in the postgraduate/undergraduate degree distinction. In the context of the history of the university, the prospects for deviant interdisciplinarity were greatest from the early sixteenth to the early nineteenth century—the period called ‘early modern’ in the philosophy curriculum. Towards the end of that period, due to Kant and the generation of idealists who followed him, philosophy was briefly the privileged site for deviant interdisciplinarity. After Hegel’s death, the mantle of deviant interdisciplinarity increasingly passed to some version of ‘biology’. I explore the ‘Natur-’ and ‘Geisteswissenschaft’ versions of that post-philosophical vision, which continue to co-exist within today’s biological science. I then briefly examine the chequered reputation of Jean-Baptiste Lamarck, someone who exemplified the promise and perils of deviant interdisciplinarity over the past 200 years. I conclude with an Epilogue that considers contemporary efforts to engage philosophy in interdisciplinary work, invoking William James as an exemplar. (shrink)

The history of innovation as a category is dominated by economists and by the contribution of J. A. Schumpeter. This paper documents the contribution of a neglected but influential author, the American sociologist William F. Ogburn. Over a period of more than 30 years, Ogburn developed pioneering ideas on three dimensions of technological innovation: origins, diffusion, and effects. He also developed the first conceptual framework for innovation studies—based on the concept of cultural lags—which led to studying and forecasting the impacts (...) of technological innovation on society. All in all, Ogburn has been as important to the sociology of technology as Robert K. Merton has been to the sociology of science and Schumpeter to the economics of technological innovation. (shrink)

This theoretical paper elucidates the nature of educational technology and, in the process, sheds light on a number of phenomena in educational systems, from the no-significant-difference phenomenon to the singular lack of replication in studies of educational technologies. Its central thesis is that we are not just users of technologies but coparticipants in them. Our participant roles may range from pressing power switches to designing digital learning systems to performing calculations in our heads. Some technologies may demand our participation only (...) to enact fixed, predesigned orchestrations correctly. Other technologies leave gaps that we can or must fill with novel orchestrations, which we may perform more or less well. Most are a mix of the two, and the mix varies according to context, participant, and use. This participative orchestration is highly distributed: in educational systems, coparticipants include the learner, the teacher, and many others, from textbook authors to LMS programmers, as well as the tools and methods they use and create. From this perspective, all learners and teachers are educational technologists. The technologies of education are seen to be deeply, fundamentally, and irreducibly human, complex, situated and social in their constitution, their form, and their purpose, and as ungeneralizable in their effects as the choice of paintbrush is to the production of great art. (shrink)

The cumulative open-endedness of human cultures represents a major break with the social traditions of nonhuman species. As traditions are altered and the modifications retained along the cultural lineage, human populations are capable of producing complex traits that no individual could have figured out on its own. For cultures to produce increasingly complex traditions, improvements and modifications must be kept for the next generations to build upon. High-fidelity transmission would thus act as a ratchet, retaining modifications and allowing the historical (...) buildup of complex traditions. Mechanisms acting against slippage are important, of course, but cultures also need to move forward for the ratchet to retain anything important. In this article, I argue that studies of modification-generating processes and the many ways they shape cumulative culture have been overlooked. Key to a better understanding of cultural modification processes is taking seriously that cultural traditions consist of complex, hierarchically structured recipes. Taking such structures seriously and assessing the different ways they can vary in cultural design space, a novel picture for the onset of cumulative cultural evolution emerges. I argue that a possible impediment for cumulative culture in nonhuman animals may in fact reside not so much in the fidelity of their social transmission but rather in the constraints, internal and external, on their capacity to modify complex, hierarchically structured cultural recipes. (shrink)

For too long, a majority of economic stories speak of perfectly informed, fully rational optimisation within a purely materialistic world – leaving a lack of evidence and explanation regarding human decision makers and entrepreneurs revolutionising the decision space. Strands like game theory and institutional economics have already adopted a more practical view. Evolutionary and behavioural economics were finally able to establish the necessary links to other disciplines – like psychology and informational science. This paper recaps selected parts of the literature (...) that favour a conceptional view of computational agents. Firstly, we invite economic modellers to question the microfoundation of their assumptions with regard to the individual or to an aggregate level of human behaviour that they truly refer to. Secondly, we illustrate the potential, as well as the limitations, that computational agents exhibit – with regard to the incorporation of creativity as the main source of innovative behaviour. Thirdly, this rather superficial collection of ideas serves as a position paper for future approaches. (shrink)