Value Sensitive Design (VSD) is an established method for integrating values into technical design. It has been applied to different technologies and, more recently, to artificial intelligence (AI). We argue that AI poses a number of challenges specific to VSD that require a somewhat modified VSD approach. Machine learning (ML), in particular, poses two challenges. First, humans may not understand how an AI system learns certain things. This requires paying attention to values such as transparency, explicability, and accountability. Second, ML (...) may lead to AI systems adapting in ways that ‘disembody’ the values embedded in them. To address this, we propose a threefold modified VSD approach: 1) integrating a known set of VSD principles (AI4SG) as design norms from which more specific design requirements can be derived; 2) distinguishing between values that are promoted and respected by the design to ensure outcomes that not only do no harm but also contribute to good; and 3) extending the VSD process to encompass the whole life cycle of an AI technology in order to monitor unintended value consequences and redesign as needed. We illustrate our VSD for AI approach with an example use case of a SARS-CoV-2 contact tracing app. (shrink)

As the use of AI systems continues to increase, so do concerns over their lack of fairness, legitimacy and accountability. Such harmful automated decision-making can be guarded against by ensuring AI systems are contestable by design: responsive to human intervention throughout the system lifecycle. Contestable AI by design is a small but growing field of research. However, most available knowledge requires a significant amount of translation to be applicable in practice. A proven way of conveying intermediate-level, generative design knowledge is (...) in the form of frameworks. In this article we use qualitative-interpretative methods and visual mapping techniques to extract from the literature sociotechnical features and practices that contribute to contestable AI, and synthesize these into a design framework. (shrink)

A common complaint against the increasing privatization of research is that research that is conducted with the immediate purpose of producing applicable knowledge will not yield knowledge as valuable as that generated in more curiosity‐driven, academic settings. In this paper, I make this concern precise and reconstruct the rationale behind it. Subsequently, I examine the case of industry research on the giant magnetoresistance effect in the 1990s as a characteristic example of research undertaken under considerable pressure to produce applicable results. (...) The example permits one to arrive at a more optimistic assessment of the epistemic merits of private, application‐driven research. I attempt to specify the conditions that, in this case, advanced the production of interesting and reliable knowledge. (shrink)

The prevalence of optimality models in the literature of evolutionary biology is testimony to their popularity and importance. Evolutionary biologist R. C. Lewontin, whose criticisms of optimality models are considered here, reflects that "optimality arguments have become extremely popular in the last fifteen years, and at present represent the dominant mode of thought." Although optimality models have received little attention in the philosophical literature, these models are very interesting from a philosophical point of view. As will be argued, optimality models (...) are central to evolutionary thought, yet they are not readily accomodated by the traditional view of scientific theories. According to the traditional view, we would expect optimality models to employ general, empirical laws of nature, but they do not. Fortunately, the semantic view of scientific theories, a recent alternative to the traditional view, more readily accomodates optimality models. As we would expect on the semantic view, optimality models can be construed as specifications of ideal systems. These specifications may be used to describe empirical systems--that is, the specifications may have empirical instances. But the specifications are not empirical claims, much less general, empirical laws. Although philosophers have yet to discuss the general features and uses of optimality models, these topics have stimulated much recent discussion among evolutionary biologists. Their discussions raise a number of precautions concerning the proper use of optimality models. Moreover, many of their caveats can be interpreted as general reminders that 1) optimality models specify ideal systems whose empirical instantiations may be quite restricted, and that 2) optimality models should not be construed as general, empirical laws. As G. F. Oster and E. O. Wilson caution, "the prudent course is to regard optimality models as provisional guides to further empirical research and not necessarily as the key to deeper laws of nature." It seems, then, that the semantic view of theories is more sensitive to the nature and limitations of optimality models than is the more traditional view of theories. (shrink)

In this article, we develop the concept of Transparency by Design that serves as practical guidance in helping promote the beneficial functions of transparency while mitigating its challenges in automated-decision making environments. With the rise of artificial intelligence and the ability of AI systems to make automated and self-learned decisions, a call for transparency of how such systems reach decisions has echoed within academic and policy circles. The term transparency, however, relates to multiple concepts, fulfills many functions, and holds different (...) promises that struggle to be realized in concrete applications. Indeed, the complexity of transparency for ADM shows tension between transparency as a normative ideal and its translation to practical application. To address this tension, we first conduct a review of transparency, analyzing its challenges and limitations concerning automated decision-making practices. We then look at the lessons learned from the development of Privacy by Design, as a basis for developing the Transparency by Design principles. Finally, we propose a set of nine principles to cover relevant contextual, technical, informational, and stakeholder-sensitive considerations. Transparency by Design is a model that helps organizations design transparent AI systems, by integrating these principles in a step-by-step manner and as an ex-ante value, not as an afterthought. (shrink)

Applications of artificial intelligence/machine learning in health care are dynamic and rapidly growing. One strategy for anticipating and addressing ethical challenges related to AI/ml for health care is patient and public involvement in the design of those technologies – often referred to as ‘co-design’. Co-design has a diverse intellectual and practical history, however, and has been conceptualized in many different ways. Moreover, AI/ml introduces challenges to co-design that are often underappreciated. Informed by perspectives from critical data studies and critical digital (...) health studies, we review the research literature on involvement in health care, and involvement in design, and examine the extent to which co-design as commonly conceptualized is capable of addressing the range of normative issues raised by AI/ml for health care. We suggest that AI/ml technologies have amplified and modified existing challenges related to patient and public involvement, and created entirely new challenges. We outline three pitfalls associated with co-design for ethical AI/ml for health care and conclude with suggestions for addressing these practical and conceptual challenges. (shrink)

In this paper we argue that transparency of machine learning algorithms, just as explanation, can be defined at different levels of abstraction. We criticize recent attempts to identify the explanation of black box algorithms with making their decisions (post-hoc) interpretable, focusing our discussion on counterfactual explanations. These approaches to explanation simplify the real nature of the black boxes and risk misleading the public about the normative features of a model. We propose a new form of algorithmic transparency, that consists in (...) explaining algorithms as an intentional product, that serves a particular goal, or multiple goals (Daniel Dennet’s design stance) in a given domain of applicability, and that provides a measure of the extent to which such a goal is achieved, and evidence about the way that measure has been reached. We call such idea of algorithmic transparency “design publicity.” We argue that design publicity can be more easily linked with the justification of the use and of the design of the algorithm, and of each individual decision following from it. In comparison to post-hoc explanations of individual algorithmic decisions, design publicity meets a different demand (the demand for impersonal justification) of the explainee. Finally, we argue that when models that pursue justifiable goals (which may include fairness as avoidance of bias towards specific groups) to a justifiable degree are used consistently, the resulting decisions are all justified even if some of them are (unavoidably) based on incorrect predictions. For this argument, we rely on John Rawls’s idea of procedural justice applied to algorithms conceived as institutions. (shrink)

Currently, value sensitive design (VSD) does not commit to a particular ethical theory. Critiques contend that without such an explicit commitment, VSD lacks a methodology for distinguishing genuine moral values from mere stakeholders-preferences and runs the risk of attending to a set of values that is unprincipled or unbounded. We argue that VSD practitioners need to complement it with an ethical theory. We argue in favour of a mid-level ethical theory to fulfil this role.

The quality of the educational experience for students may be at risk if they are not taught in ways that are effective and pertinent. While educational institutions (administrators, faculty senates or a combination) may try to compel faculty members to gain knowledge of and utilize up-to-date learning and instructional design strategies, these faculty members may baulk at this mandate, citing academic freedom as their right to design their courses in any way they see fit. Following is a discussion exploring the (...) issue, suggesting that regardless of how academic freedom is interpreted, faculty members have an ethical obligation to deliver instruction in ways that do not violate students' rights to learn. Consequently, institutions have a right as well as a duty to compel their faculty members to follow through with this obligation. (shrink)

This, the third edition of Fundamentals of Experimental Design, has five added chapters - those on regression (Chapters 12, 14, and 15), multivariate analysis (Chapter 18), and the matrix algebra appropriate to the level of presentation of this material (Chapter 13). I have noted in the preface other additions in this third edition. The added material should enhance the value of the book as a textbook and a reference. Given these additions, however, alternative approaches in using the current edition as (...) a textbook may merit consideration. It may help to note that Chapters 16 and 17 (analysis of covariance, trend analysis) do not depend on the material in Chapters 12 through 15, although the student should know something about simple linear regression to be able to understand fully the material in Chapters 16 and 17. In any event, the instructor who wants to teach only the material in the first two editions can do so by dropping the added chapters - 12 through 15, and 18 - from the syllabus. (shrink)

Research design is fundamentally central to all scientific endeavors, at all levels and in all institutional settings. This book is a practical, short, simple, and authoritative examination of the concepts and issues in interpretive research design, looking across this approach's methods of generating and analyzing data. It is meant to set the stage for the more "how-to" volumes that will come later in the Routledge Series on Interpretive Methods, which will look at specific methods and the designs that they require. (...) It will, however, engage some very practical issues, such as ethical considerations and the structure of research proposals. Interpretive research design requires a high degree of flexibility, where the researcher is more likely to think of "hunches" to follow than formal hypotheses to test. Yanow and Schwartz-Shea address what research design is and why it is important, what interpretive research is and how it differs from quantitative and qualitative research in the positivist traditions, how to design interpretive research, and the sections of a research proposal and report. (shrink)

he design-based approach is a methodology for investigating mechanisms capable of generating mental phenomena, whether introspectively or externally observed, and whether they occur in humans, other animals or robots. The study of designs satisfying requirements for autonomous agency can provide new deep theoretical insights at the information processing level of description of mental mechanisms. Designs for working systems (whether on paper or implemented on computers) can systematically explicate old explanatory concepts and generate new concepts that allow new and richer interpretations (...) of human phenomena. To illustrate this, some aspects of human grief are analysed in terms of a particular information processing architecture being explored in our research group. We do not claim that this architecture is part of the causal structure of the human mind; rather, it represents an early stage in the iterative search for a deeper and more general architecture, capable of explaining more phenomena. However even the current early design provides an interpretative ground for some familiar phenomena, including characteristic features of certain emotional episodes, particularly the phenomenon of perturbance (a partial or total loss of control of attention). The paper attempts to expound and illustrate the design-based approach to cognitive science and philosophy, to demonstrate the potential effectiveness of the approach in generating interpretative possibilities, and to provide first steps towards an information processing account of `perturbant', emotional episodes. (shrink)

This article presents the framework Capability Sensitive Design (CSD), which consists of merging the design methodology Value Sensitive Design (VSD) with Martha Nussbaum's capability theory. CSD aims to normatively assess technology design in general, and technology design for health and wellbeing in particular. Unique to CSD is its ability to account for human diversity and to counter (structural) injustices that manifest in technology design. The basic framework of CSD is demonstrated by applying it to the hypothetical design case of a (...) therapy chatbot for mental health. By applying CSD to a design case, the merits of this new framework over the standard VSD approach become apparent. Also, the application demonstrates what a technology design would look like when attention is paid to capabilities right from the start of the design process. (shrink)

Autoinhibition is a design principle realized in many molecular mechanisms in biology. After explicating the notion of a design principle and showing that autoinhibition is such a principle, we focus on how researchers discovered instances of autoinhibition, using research establishing the autoinhibition of the molecular motors kinesin and dynein as our case study. Research on kinesin and dynein began in the fashion described in accounts of mechanistic explanation but, once the mechanisms had been discovered, researchers discovered that they exhibited a (...) second phenomenon, autoinhibition. The discovery of autoinhibition not only reverses the pattern in terms of which philosophers have understood mechanism discovery but runs counter to the one phenomenon-one mechanism principle assumed to relate mechanisms and the phenomena they explain. The ubiquity of autoinhibition as a design principle, therefore, necessitates a philosophical understanding of mechanisms that recognizes how they can participate in more than one phenomenon. Since mechanisms with this design are released from autoinhibition only when they are acted on by control mechanisms, we advance a revised account of mechanisms that accommodates attribution of multiple phenomena to the same mechanism and distinguishes them from other processes that control them. (shrink)

Fundamental questions in value sensitive design include whether and how high-tech products/artefacts could embody values and ethical ideals, and how plural and incommensurable values of ethical and social importance could be chosen rationally and objectively at a collective level. By using a humanitarian cargo drone study as a starting point, this paper tackles the challenges that VSD’s lack of commitment to a specific ethical theory generates in practical applications. Besides, it highlights how mainstream ethical approaches usually related to VSD are (...) incapable of solving main ethical dilemmas raised by technological design for well-being in democratic settings. Accordingly, it is argued that VSD’s ethical-democratic import would substantially be enhanced by the espousal of a procedural ethics stance and the deliberative approach to value and welfare entailed by Amartya Sen’s capability approach. Differently from rival ethical–political theories, its normative and meta-ethical foundations better handle human diversity, value-goal pluralism, conflicting vested interests as well as the epistemic-moral disagreements typical of contemporary complex democracies. Particularly, Sen’s capability approach procedural-deliberative tenets result in an “objective-impartial” choice procedure selecting a “hierarchy” of plural incommensurable values and rational goals thus, suitable to validate an applied science such as welfare-oriented technological design in concrete social environments. Conclusions suggest that refining VSD with a capability-based procedural approach to ethics fosters the concern for democracy and social justice while preserving vital scientific-technical standards. Major advantages are at an applied level to delivering ethically and socially justified, but yet highly functional technologies and high-tech products/artefacts. (shrink)

This article assesses the quality of Integrative Social Contracts Theory (ISCT) as a social contract argument. For this purpose, it embarks on a comparative analysis of the use of the social contract model as a theory of political authority and as a theory of social justice. Building on this comparison, it then develops four criteria for any future contractarian theory of business ethics (CBE). To apply the social contract model properly to the domain of business ethics, it should be: (1) (...) self-disciplined, i.e., not aspire results beyond what the contract model can realistically establish; (2) argumentative, i.e., it should seek to provide principles that are demonstrative results of the contractarian method; (3) task-directed, i.e., it should be clear what the social contract thought-experiment is intended to model; and (4) domain-specific, i.e., the contractarian choice situation should be tailored to the defining problems of business ethics. (shrink)

Safe-by-design aims at addressing safety issues already during the R&D and design phases of new technologies. SbD has increasingly become popular in the last few years for addressing the risks of emerging technologies like nanotechnology and synthetic biology. We ask to what extent SbD approaches can deal with uncertainty, in particular with indeterminacy, i.e., the fact that the actual safety of a technology depends on the behavior of actors in the value chain like users and operators. We argue that while (...) indeterminacy may be approached by designing out users as much as possible in attaining safety, this is often not a good strategy. It will not only make it more difficult to deal with unexpected risks; it also misses out on the resources that users can bring for achieving safety, and it is undemocratic. We argue that rather than directly designing for safety, it is better to design for the responsibility for safety, i.e., designers should think where the responsibility for safety is best situated and design technologies accordingly. We propose some heuristics that can be used in deciding how to share and distribute responsibility for safety through design. (shrink)

This book critically examines the philosophy of the term 'transgression' and how it shapes the utopian vision of contemporary urban design scenarios. The aim of this book is to provide scholarly yet accessible graphic novel illustrations to inform narratives of urban manifestos. Through four select case studies from the UK, Cyprus and Germany, the book highlights the paradoxes and contradictions in architecture and provides detailed evaluation of the limits and contemporary forms of sustainable urban regeneration. The book proposes an 'utopian (...) urban vision' approach to social, political and cultural relations, trends and tensions both locally and globally, and seeks to inspire an awakening in architectural discourse. The book argues that the philosophical undermining of transgression is the result of a phenomenon from a different perspective -- its philosophical background, its social construction, its experimental research process and its design implications on the city. As such, the book provides a critical examination of how architectural design interventions contribute to sustainable urban regeneration, gentrification and can impact local communities. This book provides a significant contribution to both undergraduate and postgraduate students, as well as early career researchers working in architecture, planning and sustainable urban design. It offers effective guidance on adopting the state-of-the-art graphical illustrations into their own design projects, while considering contradictions between architectural discourse and the philosophy of transgression. (shrink)

In this essay I propose that what design principles in systems biology and systems neuroscience do is to present abstract characterizations of mechanisms, and thereby facilitate mechanistic explanation. To show this, one design principle in systems neuroscience, i.e., the multilayer perceptron, is examined. However, Braillard contends that design principles provide a sort of non-mechanistic explanation due to two related reasons: they are very general and describe non-causal dependence relationships. In response to this, I argue that, on the one hand, all (...) mechanisms are more or less general, and on the other, many design principles are causal systems. (shrink)

The history of design arguments stretches back to before Aquinas, who claimed that things which lack intelligence nevertheless act for an end to achieve the best result. Although science has advanced to discredit this claim, it remains true that many biological systems display remarkable adaptations of means to ends. Versions of design arguments have persisted over the centuries and have culminated in theories that propose an intelligent designer of the universe. This volume is the only comprehensive survey of 2,000 years (...) of debate, drawing on both historical and modern literature to identify, clarify and assess critically the many forms of design argument for the existence of God. It provides a neutral, informative account of the topic from antiquity to Darwin, and includes concise primers on probability and cosmology. It will be of great value to upper-level undergraduates and graduates in philosophy of religion, theology, and philosophy of science. (shrink)

Three kinds of knowledge usually recognised by epistemologists are identified and their relevance for curriculum design is discussed. These are: propositional knowledge, know-how and knowledge by acquaintance. The inferential nature of propositional knowledge is argued for and it is suggested that propositional knowledge in fact presupposes the ability to know how to make appropriate inferences within a body of knowledge, whether systematic or unsystematic. This thesis is developed along lines suggested in the earlier work of Paul Hirst. The different kinds (...) of know-how and their relationships are discussed and it is suggested that they occupy different places and different relationships in any curricular hierarchy. The changing role that knowledge by acquaintance plays within this hierarchy is also discussed. Implications of this account for the current National Curriculum and for curriculum design more generally are discussed, looking at History, Science and Design Technology as examples. (shrink)

The last three decades have witnessed a heated debate of the merits of intelligent design (ID) as a way to understand a number of observable natural phenomena. The present dispute has its roots in a much older discussion: that of natural theology, which has always had as its goal the discernment of design(s) attributable to God in the natural world. Despite its ongoing relevance, natural theology does not have a coherent scholarly history. Turning Points in Natural Theology from Bacon to (...) Darwin deftly fills that gap, analysing the argument of design during the period from Francis Bacon (1561-1626) to Charles Darwin (1809-82), with a specific focus on those moments at which the rhetorical terms changed significantly. (shrink)

If you have taken a college biology class, or just watched Animal Planet, you may have been struck by the startling complexity of living organisms. From the grandest mammal to the lowliest cell, life displays intricacy and structure that would put a high-paid team of engineers to shame. How could such fantastically organized, complex structures arise blindly out of unintelligent matter? Speaking of matter, why is it the way it is? Though unimaginably vast, our universe has precise features, as does (...) the matter in it. A glance at the inside back cover of a college physics textbook shows that there are extremely precise numbers describing the fundamental properties of matter. These include numbers for the speed of light in a vacuum, for the masses of fundamental particles like the electron, proton, and neutron, and for the strengths of forces like gravity and electromagnetism that act on those particles. These numbers seem utterly arbitrary. For all we know, they could have been completely different. Yet they turn out to be exactly what a universe needs in order for complex life to emerge in it. Likewise, the cosmology section of an astronomy course will teach you that there are very precise values for the temperature of the universe, for how much matter there is per cubic centimeter in the universe, for the rate at which the universe is expanding, and so on. How did those numbers get to be what they are? Were they just magically pulled out of a cosmic hat at the Big Bang? (shrink)

Synthetic biology is described as a new field of biotechnology that models itself on engineering sciences. However, this view of synthetic biology as an engineering field has received criticism, and both biologists and philosophers have argued for a more nuanced and heterogeneous understanding of the field. This paper elaborates the heterogeneity of synthetic biology by clarifying the role of design and the variability of design methodologies in synthetic biology. I focus on two prominent design methodologies: rational design and directed evolution. (...) Rational design resembles the design methodology of traditional engineering sciences. However, it is often replaced and complemented by the more biologically-inspired method of directed evolution, which models itself on natural evolution. These two approaches take philosophically different stances to the design of biological systems. Rational design aims to make biological systems more machine-like, whereas directed evolution utilizes variation and emergent features of living systems. I provide an analysis of the methodological basis of these design approaches, and highlight important methodological differences between them. By analyzing the respective benefits and limitations of these approaches, I argue against the engineering-dominated conception of synthetic biology and its “methodological monism”, where the rational design approach is taken as the default design methodology. Alternative design methodologies, like directed evolution, should be considered as complementary, not competitive, to rational design. (shrink)

_Basic principles and practical strategies to promote learning in any setting!_ From K-12 to corporate training settings––the Third Edition of Patricia Smith and Tillman Ragan’s thorough, research-based text equips you with the solid foundation you need to design instruction and environments that really facilitate learning. Now updated to reflect the latest thinking in the field, this new edition offers not only extensive procedural assistance but also emphasizes the basic principles upon which most of the models and procedures in the instructional (...) design field are built. The text presents a comprehensive treatment of the instructional design process, including analysis, strategy design, assessment, and evaluation. (shrink)

This is a critical notice of Alfred Mele’s, Manipulated Agents: A Window to Moral Responsibility. I agree with Mele that moral responsibility is a historical phenomenon, but give some considerations in favor of a positive, rather than negative, historical condition for moral responsibility. I focus on Mele’s Zygote Argument, which is intended to present a challenge for compatibilism. I contend that the challenge can be met, and I offer an error theory of the appeal of the Zygote Argument.

Gamification calls for cogent philosophical analysis and is a valuable opportunity to explore manipulative design, in which users are manipulated into doing something by using an artifact just as it is designed to be used. This chapter analyzes gamification as the implementation of inducements to striving play in artifacts that are not themselves games. Implementing such inducements is a species of a more generic form of design in which users are provided with tools for reasoning, along with scaffolding that putatively (...) justifies using those tools in particular ways and for particular purposes. This chapter further argues that gamification, and this more generic mode of design, is manipulative when, and because, using these tools in such ways serves the designers' hidden purposes. Finally, this chapter argues that using manipulatively gamified or designed artifacts typically hinders us in making our lives more meaningful. (shrink)

This article criticises Alvin Plantinga’s claim that ‘basic’ design beliefs, which arise without a conscious inference, have more positive epistemic status than non-basic ones and that we cannot evaluate the probabilities involved in inferential, inductive design arguments.

For many natural scientists, design, conceived as the action of an intelligent agent, is not a fundamental creative force in nature. Rather, material mechanisms, characterized by chance and necessity and ruled by unbroken laws, are thought sufficient to do all nature’s creating. Darwin’s theory epitomizes this rejection of design.

Intelligent design theory claims that certain biological and cosmic phenomena point to the activity of some unspecified intelligent being behind them and that it is a fully scientific conclusion. Critics often respond that, in fact, intelligent design is a religious idea because the real agenda of proponents of the theory is to reintroduce supernatural, Christian beliefs into science, public education, and other domains of western culture. In other words, it is said that the source of inspiration for the theory reveals (...) its religious, and therefore unscientific, nature. The purpose of this article is to evaluate validity of this objection, both with regard to the actual views of intelligent design proponents, as well as from the perspective of philosophy and history of science. It is argued that to express this objection is to commit the so-called genetic fallacy — evaluating the merits of an idea solely on the basis of its origin — and it can be easily applied to the proponents of naturalistic theories as well. Moreover, it is clear that intelligent design can be and is formulated without reference to any kind of religious doctrine. Hence, it is concluded that from methodological point of view the objection concerning the putative religious motivations of design theorists is an illegitimate rhetorical strategy in order to exclude intelligent design from serious scientific consideration and that the proper critical reaction to the theory requires a different basis for counter-argumentation. Key words RELIGION, INTELLIGENT DESIGN THEORY. (shrink)

In this essay I suggest that we view design principles in systems biology as minimal models, for a design principle usually exhibits universal behaviors that are common to a whole range of heterogeneous (living and nonliving) systems with different underlying mechanisms. A well-known design principle in systems biology, integral feedback control, is discussed, showing that it satisfies all the conditions for a model to be a minimal model. This approach has significant philosophical implications: it not only accounts for how design (...) principles explain, but also helps clarify one dispute over design principles, e.g., whether design principles provide mechanistic explanations or a distinct kind of explanations called design explanations. (shrink)

This article investigates the conceptual foundations of technological innovation and development projects that aim to bring ethical and social issues into the design stage. Focusing on the ethics and social impact of technological innovation and development has been somewhat of a trend lately, for instance in ELSA research and in such initiatives as the Dutch Responsible Innovation programme. I argue that in order to succeed in doing social responsible and ethical sound design, a proper understanding of the relation between technology (...) and society is required. I propose to move away from an externalist framework, in which technology and society are depicted as being defined independently, towards an interdependent framework, where technology and society are regarded to be mutually defining. This move is necessary in order for such innovation projects not to reinforce outdated concepts about technology, which in the longer run will prove counterproductive to the actual aims of the projects themselves. (shrink)