Then involvement is essential. You cannot stand aside as a member of a community. The real involvement presupposes first a connection at the level of understanding the phenomenon, an empathic relationship with the studied phenomena and processes, relationship that generate intuitions, leaps in understanding and knowledge, discoveries, revelations. The paper is based on the idea that information technology and communications today generate a global interaction based on a complex computer network, which forms a sphere that covers the planet, assimilated (...) with a global intelligence, to which we can consciously adhere becoming a synapse. a global neural network. (shrink)

Multimodal communication research focuses on how different means of signalling coordinate to communicate effectively. This line of research is traditionally influenced by fields such as cognitive and neuroscience, human-computer interaction, and linguistics. With new technologies becoming available in fields such as natural language processing and computer vision, the field can increasingly avail itself of new ways of analyzing and understanding multimodal communication. As a result, there is a general hope that multimodal research may be at the “precipice of (...) greatness” due to technological advances in computer science and resulting extended empirical coverage. However, for this to come about there must be sufficient guidance on key (theoretical) needs of innovation in the field of multimodal communication. Absent such guidance, the research focus of computer scientists might increasingly diverge from crucial issues in multimodal communication. With this paper, we want to further promote interaction between these fields, which may enormously benefit both communities. The multimodal research community (represented here by a consortium of researchers from the Visual Communication [ViCom] Priority Programme) can engage in the innovation by clearly stating which technological tools are needed to make progress in the field of multimodal communication. In this article, we try to facilitate the establishment of a much needed common ground on feasible expectations (e.g., in terms of terminology and measures to be able to train machine learning algorithms) and to critically reflect possibly idle hopes for technical advances, informed by recent successes and challenges in computer science, social signal processing, and related domains. (shrink)

The present paper attempts to highlight the strategy of regional specialisation for technological innovation in R&D laboratories. The paper makes a proposition that regional specialisation should be recognised as a strategic initiative for technology development in R&D laboratories. The rationale for this strategic initiative has been substantiated with the help of illustrations from the cases of technology development efforts taken up in different laboratories in the country under the Council of Scientific and Industrial Research (CSIR), India. In this direction, (...) CSIR and other centres of excellence have played a pioneering role in the development of various industrial clusters and artisan concentrations in different parts of the country. The implications of adoption or otherwise of this strategy initiative for technological innovation in R&D laboratories have been discussed. (shrink)

The discourse concerning computer ethics qualifies as a reference discourse for ethics-related IS research. Theories, topics and approaches of computer ethics are reflected in IS. The paper argues that there is currently a broader development in the area of research governance, which is referred to as 'responsible research and innovation'. RRI applied to information and communication technology addresses some of the limitations of computer ethics and points toward a broader approach to the governance of science, technology (...) and innovation. Taking this development into account will help IS increase its relevance and make optimal use of its established strengths. 2014 The Authors. Published by Elsevier B.V. All rights reserved. (shrink)

The unique compendium re-assesses the value of future and emergent computing technologies via artistic and philosophical means. The book encourages scientists to adopt inspiring thinking of artists and philosophers to reuse scientific concepts in their works.The useful reference text consists of non-typical topics, where artistic and philosophical concepts encourage readers to adopt unconventional approaches towards computing and immerse themselves into discoveries of future emerging landscape.

This book discusses how scientific and other types of cognition make use of models, abduction, and explanatory reasoning in order to produce important and innovative changes in theories and concepts. Gathering revised contributions presented at the international conference on Model-Based Reasoning, held on October 24–26 2018 in Seville, Spain, the book is divided into three main parts. The first focuses on models, reasoning, and representation. It highlights key theoretical concepts from an applied perspective, and addresses issues concerning information visualization, experimental (...) methods, and design. The second part goes a step further, examining abduction, problem solving, and reasoning. The respective papers assess different types of reasoning, and discuss various concepts of inference and creativity and their relationship with experimental data. In turn, the third part reports on a number of epistemological and technological issues. By analyzing possible contradictions in modern research and describing representative case studies, this part is intended to foster new discussions and stimulate new ideas. All in all, the book provides researchers and graduate students in the fields of applied philosophy, epistemology, cognitive science, and artificial intelligence alike with an authoritative snapshot of the latest theories and applications of model-based reasoning. (shrink)

The article focuses on exploring the directions for implementing innovative analytical-statistical technologies as a tool for monitoring and detecting corruption in the state. To achieve this goal, the author clarifies the content of key concepts, defines the essence of innovative analytical-statistical technologies, and analyzes the applications of these technologies as elements of the state’s anti-corruption policy. It is determined that modern analytical-statistical technologies are integral to information technologies, which have emerged as a separate branch of production known as the information (...) industry. Information technologies, including analytical-statistical ones, are realized through information systems, which combine technical tools (computers, communication devices and channels, peripherals, input/output devices, etc.) with software applications that facilitate the functioning of the technical components and analytical aspects, including the mathematical component (statistics). The use of analytical-statistical technologies as a tool to counter corruption at the state level is driven by the specificity of the corruption identification process. The application of relevant technologies is possible when perceiving corruption as a form of fraud. Therefore, the search for corruption in modern society requires a comprehensive approach, utilizing mathematical, analytical, and psychophysical research methods. This approach enables not only the identification but also the prediction of probable instances of abuse. Five directions for implementing innovative analytical-statistical technologies in anti-corruption activities are identified: 1) automation of data collection and processing; 2) automation of communication and office processes; 3) automation of direct management processes; 4) automation of decision-making processes and development; 5) development of expert systems. It is noted that analytical-statistical technologies find the most implementation in four of the identified directions: data collection/processing, direct management, decision support, and expert support. (shrink)

This paper introduces an alternative approach to innovation: Emergent Innovation. As opposed to radical innovation Emergent Innovation finds a balance and integrates the demand both for radically new knowledge and at the same time for an organic development from within the organization. From a knowledge management perspective one can boil down this problem to the question of how to cope with the new and with profound change in knowledge. This question will be dealt with in the first part of the (...) paper. As an implication the alternative approach of Emergent Innovation will be presented in the second part: this approach looks at innovation as a socio-epistemological process of “learning from the future”. Keywords: Innovation, radical innovation, emergent innovation, knowledge creation, change. (shrink)

The value scenario is a useful tool in the sheaf of methods within value sensitive design. When envisioning new technology, this tool supports the designer in speculatively considering relevant stakeholders, values expressed or rebuffed by an artifact’s design, and tensions that may exist between those values. This paper explores how science fiction stories can serve as value scenarios to supplement traditional historical methods, especially when informants are no longer accessible.

This volume is based on the papers presented at the international conference Model-Based Reasoning in Science and Technology (MBR09_BRAZIL), held at the University of Campinas (UNICAMP), Campinas, Brazil, December 2009. The presentations given at the conference explored how scientific cognition, but several other kinds as well, use models, abduction, and explanatory reasoning to produce important or creative changes in theories and concepts. Some speakers addressed the problem of model-based reasoning in technology, and stressed the issue of science and (...) technological innovation. The various contributions of the book are written by interdisciplinary researchers who are active in the area of creative reasoning in logic, science, and technology: the most recent results and achievements about the topics above are illustrated in detail in the papers. The book is divided in three parts, which cover the following main areas: part I, abduction, problem solving, and practical reasoning; part II: formal and computational aspects of model based reasoning; part III, models, mental models, representations. (shrink)

Science and technology are key to economic and social development, yet the capacity for scientific innovation remains globally unequally distributed. Although a priority for development cooperation, building or developing research capacity is often reduced in practice to promoting knowledge transfers, for example through North–South partnerships. Research capacity building/development tends to focus on developing scientists’ technical competencies through training, without parallel investments to develop and sustain the socioeconomic and political structures that facilitate knowledge creation. This, the paper argues, significantly contributes (...) to the scientific divide between developed and developing countries more than any skills shortage. Using Charles Taylor’s concept of irreducibly social goods, the paper extends Sen’s Capabilities Approach beyond its traditional focus on individual entitlements to present a view of scientific knowledge as a social good and the capability to produce it as a social capability. Expanding this capability requires going beyond current fragmented approaches to research capacity building to holistically strengthen the different social, political and economic structures that make up a nation’s innovation system. This has implications for the interpretation of human rights instruments beyond their current focus on access to knowledge and for focusing science policy and global research partnerships to design approaches to capacity building/development beyond individual training/skills building. (shrink)

This book contains contributions presented during the international conference on Model-Based Reasoning (MBR'012), held on June 21-23 in Sestri Levante, Italy. Interdisciplinary researchers discuss in this volume how scientific cognition and other kinds of cognition make use of models, abduction, and explanatory reasoning in order to produce important or creative changes in theories and concepts. Some of the contributions analyzed the problem of model-based reasoning in technology and stressed the issues of scientific and technological innovation. The book is divided (...) in three main parts: models, mental models, representations; abduction, problem solving and practical reasoning; historical, epistemological and technological issues.. (shrink)

This article describes and analyzes the process of institutionalizing studies on science, technology, and society in Cuba, and the social and academic circumstances in which these studies are implemented there. The authors give a brief account of how science and technology have evolved in Cuba over the last four decades. The authors argue that the promotion of science and technological innovation in Cuba has purposely taken the form of social innovation. The authors offer our view of (...) how the changes and demands on science, technology, and education can take advantage of the approaches and proposals of STS studies. The authors consider the traditions of thought that have influenced Cuban culture and construct a specific conceptual framework through which contemporary developments in STS are assimilated. Finally, on the basis of the above analysis, the authors describe experiences of the institutionalization of STS and their underlying objectives. (shrink)

Provides a comprehensive introduction to ethical frameworks and of many of the modern issues arising in technology ethics including computing, privacy, artificial intelligence, and more.

Metaphors used to describe new technologies mediate public understanding of the innovations. Analyzing the linguistic, rhetorical, and affective aspects of these metaphors opens the range of issues available for bioethical scrutiny and increases public accountability. This article shows how such a multidisciplinary approach can be useful by looking at a set of texts about one issue, the use of a newly developed technique for genetic modification, CRISPRcas9.

This paper presents the first bibliometric mapping analysis of the field of computer and information ethics (C&IE). It provides a map of the relations between 400 key terms in the field. This term map can be used to get an overview of concepts and topics in the field and to identify relations between information and communication technology concepts on the one hand and ethical concepts on the other hand. To produce the term map, a data set of over thousand (...) articles published in leading journals and conference proceedings in the C&IE field was constructed. With the help of various computer algorithms, key terms were identified in the titles and abstracts of the articles and co-occurrence frequencies of these key terms were calculated. Based on the co-occurrence frequencies, the term map was constructed. This was done using a computer program called VOSviewer. The term map provides a visual representation of the C&IE field and, more specifically, of the organization of the field around three main concepts, namely privacy, ethics, and the Internet. (shrink)

This paper aims to connect Stiegler’s reflections on theoretical computer science with his practical propositions for the design of digital technologies. Indeed, Stiegler’s theory of exosomatization implies a new conception of artificial intelligence, which is not based on an analogical paradigm (which compares organisms and machines, as in cybernetics, or which compares thought and computing, as in cognitivism) but on an organological paradigm, which studies the co-evolution of living organisms (individuals), artificial organs (tools), and social organizations (institutions). Such (...) a perspective does not compare human capacities to machine performances but studies the way in which the evolution of material and technical supports affects and transforms psychological, cognitive or noetic faculties (intuition, memory, understanding, imagination, sensibility, reason, etc.), as well as the constitution of different kinds of knowledge. This new theoretical paradigm implies a new ‘design’ for digital technologies, which considers their social role and their impact on psychological, cognitive or noetic faculties. (shrink)

This paper discusses the concept of “human disenhancement”, i.e. the worsening of human individual abilities and expectations through technology. The goal is provoking ethical reflection on technological innovation outside the biomedical realm, in particular the substitution of human work with computer-driven automation. According to some widely accepted economic theories, automatization and computerization are responsible for the disappearance of many middle-class jobs. I argue that, if that is the case, a technological innovation can be a cause of “human (...) disenhancement”, globally, and all things considered, even when the local and immediate effect of that technology is to increase the demand of more sophisticated human skills than the ones they substitute. The conclusion is that current innovations in the ICT sector are objectionable from a moral point of view, because they disenhance more people than they enhance. (shrink)

The rapid and dynamic nature of digital transformation challenges companies that wish to develop and deploy novel digital technologies. Like other actors faced with this transformation, companies need to find robust ways to ethically guide their innovations and business decisions. Digital ethics has recently featured in a plethora of both practical corporate guidelines and compilations of high-level principles, but there remains a gap concerning the development of sound ethical guidance in specific business contexts. As a multinational science and (...) technology company faced with a broad range of digital ventures and associated ethical challenges, Merck KGaA has laid the foundations for bridging this gap by developing a Code of Digital Ethics (CoDE) tailored for this context. Following a comprehensive analysis of existing digital ethics guidelines, we used a reconstructive social research approach to identify 20 relevant principles and derive a code designed as a multi-purpose tool. Versatility was prioritised by defining non-prescriptive guidelines that are open to different perspectives and thus well-suited for operationalisation for varied business purposes. We also chose a clear nested structure that highlights the relationships between five core and fifteen subsidiary principles as well as the different levels of reference—data and algorithmic systems—to which they apply. The CoDE will serve Merck KGaA and its new Digital Ethics Advisory Panel to guide ethical reflection, evaluation and decision-making across the full spectrum of digital developments encountered and undertaken by the company whilst also offering an opportunity to increase transparency for external partners, and thus trust. (shrink)

International Scientific Relations offers a holistic analysis of the role and impact of science, technology, and innovation in the international system of the twenty-first century.

Unlike innovation based on a strong professional culture involving close collaboration between professionals in academia and/or corporations, the current Free/Libre Open Source Software (FLOSS) development entails a global knowledge network, which consists of 1) a heterogeneous community of individuals and organizations who do not necessarily have professional backgrounds in computer science but have developed the competency to understand programming and working in a public domain; 2) corporations. This paper describes the operation of the hybrid form of developing and (...) implementing software, and also identifies several key factors shaping the collaboration between FLOSS firms and the community. (shrink)

Perhaps no technological innovation has so dominated the second half of the twentieth century as has the introduction of the programmable computer. It is quite difficult if not impossible to imagine how contemporary affairs—in business and science, communications and transportation, governmental and military activities, for example—could be conducted without the use of computing machines, whose principal contribution has been to relieve us of the necessity for certain kinds of mental exertion. The computer revolution has reduced our (...) mental labors by means of these machines, just as the Industrial Revolution reduced our physical labor by means of other machines. (shrink)

An incrementalist view of the R&Dprocess is developed, according to which R&D consists of informed trial and error. One way of avoiding expensive mistakes is to avoid choices within the R&D program that are highly sensitive to a particular scientific claim, because a great deal of time and money may have been spent to no avail should the claim turn out to befalse. The incremental view of R&D therefore entails that no choice within any R&D program is sensitive to any (...) scientific claim made at the time. Two tests are presented, antiseptic surgery and the first atomic pile, both of which confirm the incrementalist thesis. (shrink)

As soon as the economy of Kazakhstan is highly resource‐oriented despite numerous efforts to change the structure of the national economy, constant assessment of the scientific and innovation sphere of the country is actual and important. By way of qualitative, quantitative, comparative, and descriptive analysis 13 indicators related to science and innovations were investigated to define the level of scientific and innovative development in Kazakhstan. Science and innovation in Kazakhstan are under‐financed and state‐based financing of innovative activities (...) seems to be ineffective, and the innovations are still unprofitable. The scientific human capital is affected by “brain drain,” when best graduates go into business or leave the country to build careers in better financial conditions. Eight indicators are found to be universal and comparable for various countries, and can be applied with the purpose of defining the level of scientific and innovative development of a country or countries. The results of the study can be applied by governmental officials for developing policies related to science and innovations. The methods, set of indicators, and findings of the study can be used by other researchers for investigating and comparing the level(s) of scientific and innovative development in other country or countries. (shrink)

Underdevelopment in Africa continues to be one of the most perplexing issues of this century. Conventional development policies have failed throughout the continent, and lack of scientific and technological capabilities is considered among the primary causes of the prevailing crisis. Attempts to address underdevelopment have been conducted in terms of what is scientifically and technically feasible in industrialized countries instead of what is socioeconomically and culturally desirable in Africa. Undue reliance on foreign scientific and technological expertise hinders local (...) innovation and creativity, which are crucial to self-sustained development. Redefinition of science and technology policies is urgently needed. Africa should not circumvent the use of science and technology in the quest for development, but it is crucial that African policy makers determine in whose interests science and technology will be developed. (shrink)

This book constitutes the strictly refereed post-workshop proceedings of the 11th International Workshop on Computer Science Logic, CSL '97, held as the 1997 Annual Conference of the European Association on Computer Science Logic, EACSL, in Aarhus, Denmark, in August 1997. The volume presents 26 revised full papers selected after two rounds of refereeing from initially 92 submissions; also included are four invited papers. The book addresses all current aspects of computer science logics and its (...) applications and thus presents the state of the art in the area. (shrink)

The rise of the digital economy, in terms of digital innovation (DI), requires the reconsideration of the notion of innovation to clarify its conceptualisation in a post–industrial digital economy. The current science, technology, innovation (STI), and social studies of innovation are lacking conceptual, theoretical, and analytical grounds for the exploration of DI, despite their pervasive impact on our lives. The aim of this study is to provide a conceptual framework for the exploration of DI, driven by growing recognition of (...) the fact that the concept of innovation is faced with contemporary crises due to the theoretical and analytical limits of industrial innovation when adapting to socio-economic changes. This article discusses the ways in which intrinsic features of DI differentiate from industrial innovation, constructing the concept of DI around its two distinctive features: raising social inequality through four selected mechanisms and disrupting business models with ambivalent consequences. These characteristics have been identified to be the most intriguing when attempting to understand the nature of DI in today’s digital society. This research applies an intersectional and interdisciplinary approach, allowing for a critical and qualitative analysis of the current concepts of DI in different scientific fields and their convergence into a common theoretical ground for the social science of DI. (shrink)

In the present scenario of globalisation, knowledge has become the prime factor of production for competitive advantage. This calls for acquisition and utilisation of knowledge for innovation and technical change on a constant basis, which is only possible in a ‘learning organisation’. Innovative activities of a learning organisation are influenced by three main factors: (1) internal learning; (2) external learning; and (3) the innovation strategies decided upon by the enterprise management. An assumption has been made that, particularly in developing countries, (...) absorption and adaptation of technologies, i.e. indigenisation, take place through a process of ‘learning by doing’. Taking this into consideration, this paper focuses on a few case studies carried out at NISTADS, New Delhi, India, on small enterprises in the formal as well as traditional sectors, highlighting the learning process in an organisational context and how it brings in innovation and technological change at enterprise level. The study demonstrates that the learning environment in an organisational context is an indispensable process to be innovative and building up capabilities for technological change. This in turn also calls for strong networking of the enterprises with academia, R&D institutions and other enterprises, to create knowledge clusters. This builds up a strong case for a network approach of learning organisations not only at the regional level but also at the cross-cultural level for constant innovation and technical change. (shrink)

The emergence of vibrant research communities of computer scientists in Kenya and Uganda has occurred in the context of neoliberal privatization, commercialization, and transnational capital flows from donors and corporations. We explore how this funding environment configures research culture and research practices, which are conceptualized as two main components of a research community. Data come from a three-year longitudinal study utilizing interview, ethnographic and survey data collected in Nairobi and Kampala. We document how administrators shape research culture by building (...) academic programs and training growing numbers of PhDs, and analyze how this is linked to complicated interactions between political economy, the epistemic nature of computer science and sociocultural factors like entrepreneurial leadership of key actors and distinctive cultures of innovation. In a donor-driven funding environment, research practice involves scientists constructing their own localized research priorities by adopting distinctive professional identities and creatively structuring projects. The neoliberal political economic context thus clearly influenced research communities, but did not debilitate computing research capacity nor leave researchers without any agency to carry out research programs. The cases illustrate how sites of knowledge production in Africa can gain some measure of research autonomy, some degree of global competency in a central arena of scientific and technological activity, and some expression of their regional cultural priorities and aspirations. Furthermore, the cases suggest that social analysts must balance structure with culture, place and agency in their approaches to understanding how funding and political economy shape scientific knowledge. (shrink)

In the past decades, computers have become more and more involved in society by the rise of ubiquitous systems, increasing the number of interactions between humans and IT systems. At the same time, the technology itself is getting more complex, enabling devices to act in a way that previously only humans could, based on developments in the fields of both robotics and artificial intelligence. This results in a situation in which many autonomous, intelligent and context-aware systems are involved in decisions (...) that affect their environment. These relations between people, machines, and decisions can take many different forms, but thus far, a systematic account of machine-assisted moral decisions is lacking. This paper investigates the concept of machine-assisted moral decisions from the perspective of technological mediation. It is argued that modern machines do not only have morality in the sense of mediating the actions of humans, but that, by making their own decisions within their relations with humans, mediate morality itself. A classification is proposed to differentiate between four different types of moral relations. The moral aspects within the decisions these systems make are combined into three dimensions that describe the distinct characteristics of different types of moral mediation by machines. Based on this classification, specific guidelines for moral behavior can be provided for these systems. (shrink)

Technologies can have profound effects on social moral systems. Is there any way to systematically investigate and anticipate these potential effects? This paper aims to contribute to this emerging field on inquiry through a case study method. It focuses on two core human values—truth and trust—describes their structural properties and conceptualisations, and then considers various mechanisms through which technology is changing and can change our perspective on those values. In brief, the paper argues that technology is transforming these values by (...) changing the costs/benefits of accessing them; allowing us to substitute those values for other, closely-related ones; increasing their perceived scarcity/abundance; and disrupting traditional value-gatekeepers. This has implications for how we study other, technologically-mediated, value changes. (shrink)

Computational methods such as computer simulations, Monte Carlo methods, and agent-based modeling have become the dominant techniques in many areas of science. Extending Ourselves contains the first systematic philosophical account of these new methods, and how they require a different approach to scientific method. Paul Humphreys draws a parallel between the ways in which such computational methods have enhanced our abilities to mathematically model the world, and the more familiar ways in which scientific instruments have expanded our access (...) to the empirical world. This expansion forms the basis for a new kind of empiricism, better suited to the needs of science than the older anthropocentric forms of empiricism. Human abilities are no longer the ultimate standard of epistemological correctness.Humphreys also includes arguments for the primacy of properties rather than objects, the need to consider technological constraints when appraising scientific methods, and a detailed account of how the path from computational template to scientific application is constructed. This last feature allows us to hold a form of selective realism in which anti-realist arguments based on formal reconstructions of theories can be avoided. One important consequence of the rise of computational methods is that the traditional organization of the sciences is being replaced by an organization founded on computational templates.Extending Ourselves will be of interest to philosophers of science, epistemologists, and to anyone interested in the role played by computers in modern science. (shrink)

Previous studies of technical innovation in organizations have tended to neglect how power and political processes shape the development of new technologies. Our study of new product development at a successful computer graphics company suggests that corporate ideology and politics often determine the success or failure of new product ideas. Four stages of product development are identified along with the political activities and influence tactics used at each stage.

Synthetic biology, as an engineering approach to biological systems, has the potential to disruptively innovate the development of vaccines, therapeutics, and diagnostics. Data accessibility and differences in data-usage capabilities are important factors in shaping this innovation landscape. In this paper, the data that underpin synthetic biology responses to the COVID-19 pandemic are analyzed as positional information goods—goods whose value depends on exclusivity. The positionality of biological data impacts the ability to guide innovations toward societally preferred goals. From both an (...) ethical and economic point of view, positionality can lead to suboptimal as well as beneficial situations. When aiming for responsible innovation (i.e. embedding societal deliberation in the innovation process), it is important to consider hurdles and facilitators in data access and use. Central governance and knowledge commons provide routes to mitigate the negative effects of data positionality. (shrink)

AI ethics is proposed, by the Big Tech companies which lead AI research and development, as the cure for diverse social problems posed by the commercialization of data-intensive technologies. It aims to reconcile capitalist AI production with ethics. However, AI ethics is itself now the subject of wide criticism; most notably, it is accused of being no more than “ethics washing” a cynical means of dissimulation for Big Tech, while it continues its business operations unchanged. This paper aims to critically (...) assess, and go beyond the ethics washing thesis. I argue that AI ethics is indeed ethics washing, but not only that. It has a more significant economic function for Big Tech. To make this argument I draw on the theory of intellectual monopoly capital. I argue that ethics washing is better understood as a subordinated innovation network: a dispersed network of contributors beyond Big Tech’s formal employment whose research is indirectly planned by Big Tech, which also appropriates its results. These results are not intended to render AI more ethical, but rather to advance the business processes of data-intensive capital. Because the parameters of AI ethics are indirectly set in advance by Big tech, the ostensible goal that AI ethics sets for itself—to resolve the contradiction between business and ethics—is in fact insoluble. I demonstrate this via an analysis of the latest trend in AI ethics: the operationalization of ethical principles. (shrink)

Emerging technologies such as artificial intelligence, gene editing, nanotechnology, neurotechnology and robotics, which were originally unrelated or separated, are becoming more closely integrated. Consequently, the boundaries between the physical-biological and the cyber-digital worlds are no longer well defined. We argue that this technological convergence has fundamental implications for individuals and societies. Conventional domain-specific governance mechanisms have become ineffective. In this paper we provide an overview of the ethical, societal and policy challenges of technological convergence. Particularly, we scrutinize the (...) adequacy of domain-specific governance mechanisms in the face of such integrated technologies and highlight their growing ineffectiveness. Furthermore, we propose a comprehensive governance framework that is anticipatory, inclusive, and resilient. Central to this framework is the principle of participatory governance, which calls for a proactive engagement of all stakeholders, including those from marginalized and vulnerable populations, ensuring that their voices and concerns shape the trajectory of technological development. The framework emphasizes the need for protective measures that preemptively address potential risks and inequities that may arise from the adoption and integration of emerging technologies. Based on a detailed analysis of case studies and current governance models, we present and discuss a set of ten actionable recommendations. These are designed to facilitate the transition towards a governance approach that not only respects individual autonomy and privacy, but also fosters a collective responsibility towards sustainable and fair technological progress. By placing human dignity, societal welfare and the protection of the most vulnerable at the center of technological innovation, we advocate for a future where convergence is synonymous with progress that is both ethically grounded and universally beneficial. (shrink)

In today’s age, we see the increasing influence of technology on people, which begs to raise the question: “Is society determined by technology?” Rising up within the constraints of each society, technology had its limitations, as it catered to the needs and interests of the masses. As society evolved, so did its requirements. We are at a stage where dependence on technology has gone through the roof with new innovations coming up in the sector, the rise of artificial intelligence, (...) for instance. Technology has replaced the concept of being a mere tool and is creating/demanding space of its own. With advancements in various fields like robotics which churn out machines that can mimic human behaviour and are equipped with anthropomorphic features, it has become rather difficult to view them as mere commodities waiting for one’s (human master’s) command. Keeping this in view, the paper primarily focuses on the relationship between society and technology, with special emphasis on artificial intelligence, through an analysis of the films Ra One (Bollywood), Android Kunjappan (Mollywood), and Ironman 3 (Hollywood). Secondarily, an experimental study was carried out to know the perception of the Engineering students, the future technologists, who are the stakeholders of the 21st-century technological world, with an aim to know their perception of technology and bring an awareness of the limitations of technology and its role in the creation of utopian and dystopian world. Finally, the paper examines the consequence of technological determinism and autonomy from a colonial perspective and intends to bring preparedness among the students to perceive technology conscious of its limitation and bring harmony between society and technology that leads towards building a utopian world. (shrink)

Recent and ongoing developments in science and technology - such as the prevention and treatment of disease through genetics and the development of increasingly sophisticated computer systems with wide-ranging applications - hold out the promise of vastly improving the quality of human life, but they can also raise serious ethical, legal, and public policy questions. The thirteen essays in this volume address these questions and related issues from a variety of perspectives. Written by prominent philosophers, economists, and legal (...) theorists, these essays offer valuable insights into the nature of scientific innovation and its implications for our social policies and practices. (shrink)

This paper addresses the question of how the ups and downs in the development of artificial intelligence (AI) since its inception can be explained. It focuses on the development of artificial intelligence in Germany since the 1970s, and particularly on its current dynamics. An assumption is made that a mere reference to rapid advances in information technologies and the various methods and concepts of artificial intelligence in recent decades cannot adequately explain these dynamics, because from a social science perspective, (...) this is an oversimplified, technology-centred explanation. Drawing on ideas from social scientific innovation research, the hypothesis is rather that artificial intelligence should be understood as a “promising technology”. Its various stages of development have always been driven by technological promises about its special powers and capabilities when applied to solving economic and societal challenges. (shrink)

In informal terms, abductive reasoning involves inferring the best or most plausible explanation from a given set of facts or data. It is a common occurrence in everyday life and crops up in such diverse places as medical diagnosis, scientific theory formation, accident investigation, language understanding, and jury deliberation. In recent years, it has become a popular and fruitful topic in artificial intelligence research. This volume breaks new ground in the scientific, philosophical, and technological study of abduction. It presents (...) new ideas about inferential and information-processing foundations for knowledge and certainty. The authors argue that knowledge arises from experience by processes of abductive inference, in contrast to the view that it arises non-inferentially, or that deduction and inductive generalization are enough to account for knowledge. Much AI research is hypothetical, so the importance of this book is that it reports key discoveries about abduction that have been made as a result of designing, building, testing, and analyzing actual working knowledge-based systems for medical diagnosis and other abductive tasks. The book tells the story of six generations of increasingly sophisticated generic abduction machines, RED-1, RED-2, PEIRCE, MDX2, TIPS, QUAWDS, and the discovery of reasoning strategies that make it computationally feasible to form well-justified composite explanatory hypotheses, despite the threat of combinatorial explosion. The final chapter argues that perception is logically abductive and presents a layered-abduction computational model of perceptual information processing. This book will be of great interest to researchers in AI, cognitive science, and philosophy of science. (shrink)

This article proposes the use of technological frames (TF) as an analytical tool to support the investigations within value sensitive design. TF can help to identify values that are consistent or conflicting within and between stakeholders, which is exemplified with a case of patient accessible electronic health records in Sweden. The article concludes that TF can help to identify values, which may then help to understand and address possible concerns in the design process.

Revolutions in semiconductor device miniaturization, bioelectronics, and applied neural control technologies are enabling scientists to create machine-assisted minds, science fiction's “cyborgs.” In a paper published in 1999, we sought to draw attention to the advances in prosthetic devices, to the myriad of artificial implants, and to the early developments of this technology in cochlear and retinal implants. Our concern, then and now, was to draw attention to the ethical issues arising from these innovations. Since that time, breakthroughs have (...) occurred at a breathtaking pace. Scientists, researchers, and engineers using differing methodologies are pursuing the possibilities of direct interfaces between brains and machines. Technological innovations as such are neither good nor evil; it is the uses devised for them that create moral implications. As there can be ethical problems inherent in the proper human uses of technologies and because brain chips are a very likely future technology, it is prudent to formulate policies and regulations that will mitigate their ill effects before the technologies are widespread. Unlike genetic technologies, which have received widespread scrutiny within the scientific community, national governments, and international forums, brain–machine interfaces have received little social or ethical scrutiny. However, the potential of this technology to change and significantly affect humans is potentially far greater than that of genetic enhancements, because genetic enhancements are inherently limited by biology and the single location of an individual, whereas hybrids of human and machine are not so restricted. Today, intense interest is focused on the development of drugs to enhance memory; yet, these drugs merely promise an improvement of normal memory, not the encyclopedic recall of a computer-enhanced mind combined with the ability to share information at a distance. The potential of brain chips for transforming humanity are astounding. This paper describes advances in hybrid brain–machine interfaces, offers some likely hypotheses concerning future developments, reflects on the implications of combining cloning and transplanted brain chips, and suggests some potential methods of regulating these technologies. (shrink)

This article reviews empirical and conceptual material from two distinct research traditions: on the science-technology relation and on industrial innovation. It aims both to shed new light on an old debate—the distinction between scientific and technological knowledge—and to refine our conceptualizations of the knowledge used by companies in the course of research and development leading to innovation. On the basis of three empirical studies, a composite categorization of different types of knowledge used in innovation is proposed, as part (...) of a broader framework encompassing two further taxonomic dimensions. It is hoped that this typology and framework might provide useful research tools in furthering our understanding of the knowledge transfers and transformations that occur in the course of innovation. It could also prove useful for organizations and groups facing difficult strategic choices about technology. (shrink)