Resumo: neste artigo pretendo estender a evidenciação do encobrimento do mundo da vida formulada por Husserl ao uso das tecnologias disruptivas da 4ª Revolução Industrial, mais precisamente o uso da inteligência artificial (IA) nas plataformas sociais. Primeiro, apresento o conceito de mundo da vida que se mantém consistente ao longo das obras de Husserl; em seguida, apresento seu encobrimento derivado da matematização da natureza e do rompimento com o telos, o que originou a crise da humanidade europeia. Segundo, (...) mais camadas de encobrimento do mundo da vida vão se sobrepondo com a 3ª e 4ª RIs. Em mais detalhe, o encobrimento e o afastamento do mundo da vida provocado pelo uso da IA e seus efeitos negativos, individual e coletivamente. Terceiro, a proposta Husserliana de retorno ao mundo da vida através de uma epoché radical. Concluo que a solução proposta por Husserl para a crise ainda é atual e urgente. Abstract: in this paper I intend to extend the disclosure of the cover-up of the lifeworld formulated by Husserl to the use of disruptive technologies of the 4th Industrial Revolution, more precisely the use of artificial intelligence on social platforms. First, I present the concept of lifeworld that remains consistent throughout Husserl's works; then, I present its cover-up derived from the mathematization of nature and the break with the telos, which originated the crisis of european humanity. Second, more layers of cover-up of the lifeworld overlap with the 3rd and 4th IRs. In more detail, the cover-up and detachment from the lifeworld caused by the use of AI and its negative effects, individually and collectively. Third, the Husserlian proposal of return to the lifeworld through a radical epoché. I conclude that the solution proposed by Husserl to the crisis is still actual and urgent. (shrink)

The emergence of the “4th Industrial Revolution,” i.e. the convergence of artificial intelligence, the Internet of Things, advanced materials, and bioengineering technologies, could accelerate socioeconomic insecurities and anxieties or provide beneficial alternatives to the status quo. In the post-Covid-19 era, the entities that are best positioned to capitalize on these innovations are large firms, which use digital platforms and big data to orchestrate vast ecosystems of users and extract market share across industry sectors. Nonetheless, these technologies also have (...) the potential to democratize ownership, broaden political-economic participation, and reduce environmental harms. We articulate the potential sociotechnical pathways in this high-stakes crossroads by analyzing cellular agriculture, an exemplary 4th Industrial Revolution technology that synergizes computer science, biopharma, tissue engineering, and food science to grow cultured meat, dairy, and egg products from cultured cells and/or genetically modified yeast. Our exploration of this space involved multi-sited ethnographic research in both the cellular agriculture community and alternative economic organizations devoted to open source licensing, member-owned cooperatives, social financing, and platform business models. Upon discussing how these latter approaches could potentially facilitate alternative sociotechnical pathways in cellular agriculture, we reflect upon the broader implications of this work with respect to the 4th Industrial Revolution and the enduring need for public policy reform. (shrink)

The growing interest in AI in advance capitalist societies can be understood not just in relation to its practial achievements, which remain modest, but also in its ideological role as a technological paradign for the reconstruction of capitalism. This is similar to the role played by scientific management during the second industrial revolution, circa 1880–1930, and involves the extension of the rationalization and routinization of labour to mental work. The conception of human intelligence and the emphasis on command and (...) control systems of much contemporary AI research reflects its close relationship with the US military and corporate capital, which are the sources of many of AI's key metaphors and anolgies. (shrink)

BackgroundArtificial intelligence has been described as the “fourth industrial revolution” with transformative and global implications, including in healthcare, public health, and global health. AI approaches hold promise for improving health systems worldwide, as well as individual and population health outcomes. While AI may have potential for advancing health equity within and between countries, we must consider the ethical implications of its deployment in order to mitigate its potential harms, particularly for the most vulnerable. This scoping review addresses the following (...) question: What ethical issues have been identified in relation to AI in the field of health, including from a global health perspective?MethodsEight electronic databases were searched for peer reviewed and grey literature published before April 2018 using the concepts of health, ethics, and AI, and their related terms. Records were independently screened by two reviewers and were included if they reported on AI in relation to health and ethics and were written in the English language. Data was charted on a piloted data charting form, and a descriptive and thematic analysis was performed.ResultsUpon reviewing 12,722 articles, 103 met the predetermined inclusion criteria. The literature was primarily focused on the ethics of AI in health care, particularly on carer robots, diagnostics, and precision medicine, but was largely silent on ethics of AI in public and population health. The literature highlighted a number of common ethical concerns related to privacy, trust, accountability and responsibility, and bias. Largely missing from the literature was the ethics of AI in global health, particularly in the context of low- and middle-income countries.ConclusionsThe ethical issues surrounding AI in the field of health are both vast and complex. While AI holds the potential to improve health and health systems, our analysis suggests that its introduction should be approached with cautious optimism. The dearth of literature on the ethics of AI within LMICs, as well as in public health, also points to a critical need for further research into the ethical implications of AI within both global and public health, to ensure that its development and implementation is ethical for everyone, everywhere. (shrink)

Technology is part of all life forms. This does not mean that all technology is beneficial for life. Technological evolution in the human sphere holds promises to attain the status of singularity. This identifies the so-called Fourth Industrial Revolution. What is at stake includes the emergence of intelligent and conscious super computers and robots, conscious materialism, the possibility of human immortality and the emergence of the trans-human. In the ambit of a new artificial environment in which humans will (...) live, the question of being must be addressed again. How will all of this affect the question of being human and new conceptions of ‘self’? To what extent will the possibility of techno-religion replace traditional religions with its promise of eradicating poverty, illness and death? This article focuses on these and related issues to identify possibilities of a new artificially envisaged lifestyle. (shrink)

Techno-colonialism, which I argue here to specifically mean the transfer of technology and its values and norms from one locale to another, has become a serious concern with the advancement of socially disruptive technologies1 of the Fourth Industrial Revolution (4IR), like artificial intelligence and robots. While the transfer of technology from one locale, especially economically advanced countries, to developing countries comes with economic benefits for both regions, it is important to understand that technologies are not value- neutral; they (...) come with the values, cultures, and worldviews of their designers. However, despite the nonvalue-neutrality of the technologies of the 4IR, they are still relevant for subSaharan Africa’s development. Thus, using a phenomenological approach, especially the sub-Saharan African experiences of past histories of colonialism, I prescribe cautionary measures that sub-Saharan Africans ought to take in approaching the current industrial revolution and its technologies. (shrink)

The Fourth Industrial Revolution has become a global buzz word since the World Economic Forum adopted it as an annual issue in 2016. It is represented by hyper automation and hyper connectivity based on artificial intelligence, big data, robotics, and Internet of things. AI, big data, and robotics can contribute to developing hyper automation that can increase productivity and intensify industrial production. Particularly, robots using AI can make decision by themselves as human being on complicated processes. Along (...) with the hyper automation, the hyper connectivity increases not only at national, but also global level by using information and communication technologies. IoT is the core technology to create the hyper connectivity in Cyber Physical System that connects technology, nature, and human being. Accordingly, a perfect convergence between ICT and manufacturing can be completed in the Fourth Industrial Revolution era and an extremely efficient flexible production system by spreading IoT in CPS will be established. Under such a condition, innovative clusters must play their traditional roles in cradles of technology innovation and commercialization. It must be difficult challenges for innovative clusters to meet their targets and to be adjusted by the changing new environment at the same time. This paper argues how the Fourth Industrial Revolution can change the global production chain and how core technologies function in industries. Furthermore, it focuses on how innovative clusters have to evolve to respond the Fourth Industrial Revolution. Last, but not least it also analyzes whether or not innovative clusters can play their roles as technology innovation hubs in the real world and CPS in the Fourth Industrial Revolution era. (shrink)

Throughout Mary Shelley’s early life, she was exposed to numerous well-known and influential people regarding cultural, political, and socio-economic matters. As she began writing, these influences undoubtedly played a role in her narrative. Her novel, _Frankenstein_, written during the time of the first Industrial Revolution in Britain, was one such novel that exhibited her political and economic influences through science fiction. This article addresses many of those influences, including the introduction of the machine into manufacturing. It further addresses how (...) Frankenstein’s Monster may have been one of the first created forms of artificial intelligence (AI). We further expound upon many economic concepts that have persisted through time and are relevant today given the faciliatory aspects, as well as the uncertainty, of AI. We relate these through the literary piece _Frankenstein_ to explore how a two-century-year-old tale provides a blueprint for understanding the conflict among humans and machines and provides a roadmap for harmonization in the past, present, and future. (shrink)

Sub-Saharan Africa is characteristically confronted with poverty, hunger, disease, drought, war, climate change and inequality among other problems. However, the advent of the fourth industrial revolution presents an opportunity for Africa to solve some of these problems through technological innovations offered by information technology, internet of things, networks, robotics, virtual reality, artificial intelligence and superintelligence. These have been absorbed and engrained into human lives and completely changing the way humans live. It is therefore clear that the 4IR is (...) an inescapable reality. Yet the ethical reflection on the relations that ought to exist between human beings and technology seems to be philosophically absurd. One might not expect ethical considerability to be extended beyond humans to include things that cannot directly be harmed such as technologies, although use of technologies has ethical implications on humans and the environment. I argue for the need for introspection on relations between humans and technology. By reflecting from the perspective of African ethics, I consider the positive impact of the fourth industrial revolution in Africa and seek to critically analyse the ethical issues, dilemmas and controversies associated with it. (shrink)

Life was difficult in the prehistoric time. Humans depended on the precarious fortunes of Hunting for the survival. This mode of living does not lead to the formation of civilization but it is a means to get there. Then man discovered the art of agriculture, where there is a continued supply of food. With this security of the future, man began to expand his mind and began to embellish his life. Then came the discovery of electricity which has spawned a (...) new revolution in the mode of work similar to agricultural revolution which is the Industrial revolution. The machines began taking the hard labor on the behalf of the man. With this, came the abundance of goods and products. Though industrial revolution increased the goods, it decreased the employment opportunity for many. The labor of the man is not needed anymore where it was needed earlier as machines occupied its place. There is a similar revolution inevitable in the future which may further displace humans from the workforce. It is the Automation era. With automation comes abundance in the order which is not known earlier. The cost of the goods will decrease dramatically. There will be surplus of the goods. But what about the humans and their employment. Will they have a purpose or place in the workforce. This report deals with such practical, scientific and ethical question that needs to be addressed in the automation era. (shrink)

ITC technologies have come to comprehensively represent images and expectations of the future. Hopes of ongoing progress, economic growth, skill upgrading and possibly also democratisation are attached to new ICTs as well as fears of totalitarian control, alienation, job loss and insecurity. Currently, with the terms "Industry 4.0." and ‘Fourth Industrial Revolution”, public institutions, private institutions, and literature refer to the inchoate transformation of production of goods and services resulting from the application of a new wave of technological innovations: (...) interconnected collaborative robots; machine learning; Artificial Intelligence; 3D printers connected to digital development software; simulation of interconnected machines; integration of the information flow along the value chain; multidirectional communication between manufacturing processes and products. According to the main representations of Industry 4.0. by private and public institutions, its effects are expected to be mainly positive, for what regards productivity, economic opportunities and the future of work. The positive potentials now attributed to the new cycle of innovation evoke and expand those attributed to the previous waves of innovation linked to ITC technologies, and, even before, to the transition from Fordism to Post-Fordism. However, these transformations have so far not achieved any of the promises they raised. Improvements for workers in terms of work conditions, work performance and work relationships cannot be determined by any technical innovation in itself, being technological innovation always socially shaped. (shrink)

In recent years, artificial intelligence (AI) has garnered tremendous attention across a range of sectors, including health care. AI is a comprehensive term, broadly defined as computational machines making decisions and performing tasks that previously required human intelligence or cognition. There are high expectations of what AI can do; enthusiasts sometimes refer to it as a central pillar of the Fourth Industrial Revolution, with an impact on humanity as profound as that of the steam power engine or electricity. (...) Building on the Third Industrial Revolution (or Digital Revolution) that began in the middle of the twentieth century and was characterized by the spread of automation and digitization through the use of electronics, computers, and communication technologies (e.g., the internet), the Fourth Industrial Revolution is characterized by a fusion of advancing technologies in AI, robotics, the Internet of Things (IoT), genetic engineering, and quantum computing. These technologies blend physical production and operations with smart digital technologies, promising to transform the operation, management, and governance of every industry, including health care. (shrink)

Smart city discourses often invoke the Panopticon, a disciplinary architecture designed by Jeremy Bentham and popularly theorized by Michel Foucault, as a model for understanding the social impact of AI technologies. This framing focuses attention almost exclusively on the negative ramifications of Urban AI, correlating ubiquitous surveillance, centralization, and data consolidation with AI development, and positioning technologies themselves as the driving factor shaping privacy, sociality, equity, access, and autonomy in the city. This paper describes an alternative diagram for Urban AI—the (...) Polyopticon: a distributed, polyvalent, multi-modal network of synthetic intelligences. It posits that fourth industrial revolution technologies change the political, social, and psychodynamic relationships of sentience and witness in the city, shifting the effects of watching and watched beyond the exclusive domain of top-down surveillance and discipline. The Polyopticon poses a more expansive and ambivalent spectrum of possibilities for Urban AI scenarios, one that undermines the totalizing, singular, and cerebral notion of intelligence that so often characterizes Urban AI and smart city critiques. (shrink)

The society in which we currently live and operate is globally the Fourth Industrial Revolution and locally our environment or community. Although we are still in a lag period between the 3IR and 4IR, the 4IR already has a global disruptive effect, with artificial intelligence being gradually implemented, with fluid contexts, and where nobody agrees on anything. Deep learning, unlearning and relearning must take place on a daily basis. The question could well be asked if there is any (...) place for the Bible and Christianity in this new vibrant global community.All theology is contextual. Although theology deals with what is most absolute in reality, citing Mellert, it is also relative in that there is never a final or last answer to most religious questions. The handbook and norm for our theology and religion is still the Bible – a compendium of books written approximately 2000 years ago with no new information added to it ever since. The challenge of the church is to make that information contextual in this ‘disruptive’ era and to bring the gospel in a new and fresh way to everybody without compromising the basic truths and normativity of the Bible.This article argues that the Bible should still take centre stage in the academic training of our theological students, in our preaching of the gospel on a daily basis, in our engagement with people in need and in the transformation of our societies in general. As the centre of Jesus’ preaching on earth was the kingdom of God, he also acted as the perfect example of how to establish the kingdom of God and the flourishing life on earth.Contribution: This is a more practical article and puts the notion of the significance of the Bible within the environment of the Fourth Industrial Revolution. As this is a disruptive era, it requires from us to also present the word of God in a ‘disruptive’ way. We will have to present the ‘old’ word of God in a brand-new way so as to make sure that the people of this era will grasp it. (shrink)

Comprehensively improving the level of vocational education and teaching quality has become an important initiative to meet the new round of technological revolution and industrial change. The traditional teaching mode can no longer meet the needs of industries and enterprises for job competences, and all higher education institutions are actively thinking about how to carry out teaching reform. Virtual reality can effectively solve the above-mentioned drawbacks, but the hardware facilities of the existing VR systems are extremely expensive, making it (...) impossible to popularize it in teaching. In this context, this paper is based on VR for the design of an interactive teaching platform. This paper discusses the key technologies of virtual reality, introduces the relevant theoretical foundation, and describes the current virtual reality devices with high popularity and their advantages and disadvantages for systematic analysis. From the perspective of teaching design, the design of human-computer interaction teaching process using VR technology to develop learning scenes is studied, introducing 3D modeling techniques, model construction, the production of picture and text panels, the production of video materials, and the establishment of virtual tour guide 3D scenes. The principle of this paper is to build a 3D vision for building 3D views of educational needs to design high quality images and video animation using 3DMAX and unity 3D engines. Then, we introduce the use of VR glasses, smart phones, and Bluetooth wireless handle to build a simple interactive teaching platform; the platform is of low cost of construction and student coverage, to solve the teaching resources shortage, equipment conditions lagging behind, the curriculum content aging, teachers and students who cannot interact in real time, and a series of problems. (shrink)

Industry 4.0 The present work enables us to take the first steps in the world of the 4th Industrial Revolution, a world where robots, artificial intelligence and digital manufacturing technologies will change forever the way we design, produce and buy products and services. The first characteristics of this revolution is globalization: for the first time in history, an industrial transformation is taking place simultaneously on a global scale. The second key-factor is the word ecosystem: unlike the first (...) three industrial revolutions (steam engine, electricity and computers) over the past few years, no technologies nor machines were invented anew, but we understood how to keep together different technological platforms by using the same language (bit). If the revolution in place will complete the transformations announced, in twenty years we will look at today’s society the same way we nowadays look at the 19th Century society. (shrink)

In an era of digital revolution, artificial intelligence, big data and augmented reality, technology has shifted from being a tool of communication to a primary medium of experience and sociality. Some of the most basic human capacities are increasingly being outsourced to machines and we increasingly experience and interpret the world through digital interfaces, with machines becoming ever more ‘social’ beings. Social interaction and human perception are being reshaped in unprecedented ways. This book explores this technologisation of the social (...) and the attendant penetration of permanent liminality into those aspects of the lifeworld where individuals had previously sought some kind of stability and meaning. Through a historical and anthropological examination of this phenomenon, it problematises the underlying logic of limitless technological expansion and our increasing inability to imagine either ourselves or our world in other than technological terms. Drawing on a variety of concepts from political anthropology, including liminality, the trickster, imitation, schismogenesis, participation, and the void, it interrogates the contemporary technological revolution in a manner that will be of interest to sociologists, social and anthropological theorists and scholars of science and technology studies with interests in the digital transformation of social life. -/- Table of Contents -/- Introduction: The Technologisation of the Social: A 21st-Century Megamachine? Paul O’Connor -/- 1. Communication as Theatricalisation: Self-Presentation in the Digital Age Arpad Szakolczai -/- 2. Parasites of the Social: Digital Disruptions of the Labour Market Tom Boland -/- 3. Possessed by Technology: The Metastasis of Absence Agnes Horvath -/- 4. Technologisation of the Social: Symbiosis, Parasitism, or Predation? Daniel Gati -/- 5. J'accuse Zéro: The Technology of Zero and the Making of a Personal Void Ray Griffin -/- 6. Digital Affordances and the Liminal Stephen Turner -/- 7. The Smart Womb: Digital Technologies and the Maze of Trickster Politics Marius Ion Benta -/- 8. Brave New Industry? The Dark Side of Dematerialisation and Industry 4.0 Thomas S.J. Smith -/- 9. ‘What Have You Caught?’: Nannycams and Hidden Cameras as Normalised Surveillance of the Intimate Janos Mark Szakolczai -/- 10. Coercive Visibility: Discipline in the Digital Public Arena Paul O’Connor -/- Conclusion: Is There a Way Out of the Technologisation of the Social? Marius Ion Benta. (shrink)

제4차 산업혁명 시대는 인류의 삶을 근본에서부터 뒤흔들 것으로 예측되고 있다. 이러한 제4차 산업혁명의 영향으로 인해 인류는 이미 새로운 시대를 경험하고 있다고 해도 과언이 아니다. 새로운 시대는 새로운 사회로 변화를 야기하고, 새로운 인간상의 교육에 대한 기대가 커지고 있다. 오늘날의 현대교육은 미래교육의 비전으로서는 한계를 가지고 있다.BR 현대 초등교육의 문제점을 분석하고 새로운 교육의 지평을 모색하기 위해서, 소학에서 그 지혜를 발견해 보고자 한다. 왜 소학인가? 소학에서는 초등교육의 전통적인 교육목표와 방법을 확인할 수 있고, 오래되었지만 미래교육에서 활용할 수 있는 지혜가 있기 때문이다. 이를 위해서 먼저, 제4차 (...) 산업혁명 시대의 인간상과 초등 인성교육의 의미를 살펴보고, 다음으로 소학에서 발견할 수 있는 인성교육의 지혜를 분석해 볼 것이다. 마지막으로 이러한 연구가 가지는 의미를 고찰해 볼 것이다. (shrink)

Abstract: In this article I argue that the best way to understand the information turn is in terms of a fourth revolution in the long process of reassessing humanity's fundamental nature and role in the universe. We are not immobile, at the centre of the universe (Copernicus); we are not unnaturally distinct and different from the rest of the animal world (Darwin); and we are far from being entirely transparent to ourselves (Freud). We are now slowly accepting the idea that (...) we might be informational organisms among many agents (Turing), inforgs not so dramatically different from clever, engineered artefacts, but sharing with them a global environment that is ultimately made of information, the infosphere. (shrink)

Sedlakova and Traschel argue that conversational artificial intelligence (CAI) is more than a mere tool, but not quite an agent, as it “simulates having a therapeutic conversation [but] does not re...

The movement of Artificial Intelligence (AI) research from universities to big corporations has had a significant impact on the development of the field. In the past, AI research was primarily conducted in academic institutions, which foster a culture of peer reviewing and collaboration to enhance quality improvements. The growing interest in AI among corporations, especially regarding Machine Learning (ML) technology, has shifted the focus of research from quality to quantity. Corporations have the resources to invest in large-scale ML projects (...) and they are often more interested in fast results than in ensuring that AI algorithms are reliable and safe. This paper proposes that the description of a Darwinian process made by the mathematician and physicist Freeman Dyson can be used to understand the implications of ML research scenario. The context of the Darwinian process—or lack thereof—can be used to draw a parallel between historical and current implications of technology expansion strongly driven by economic interests, making clear the consequences of shifting AI research from academia to industry. Finally, this paper indicates future directions for AI research to create a healthier environment for the evolution of ML technology. (shrink)

This is the first professional academic work in China to discuss artificial intelligence and blockchain together. Artificial intelligence is a productivity revolution, and its development has a significant and profound impact on global changes. However, at the same time, its development also brings a series of challenges to human society, such as privacy, security, and fairness issues. Therefore, the significance of blockchain is even more prominent. Blockchain is a revolution in production relations, which will propose important solutions to (...) the challenges of privacy, security, and fairness that arise after the development of artificial intelligence. The book not only discusses the problems currently faced by the development of artificial intelligence, as well as the new opportunities and challenges that artificial intelligence brings to future global governance, but also explains the further development direction of the intelligent revolution from the perspective of blockchain. (shrink)

The two-volume set LNCS 10350 and 10351 constitutes the thoroughly refereed proceedings of the 30th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, held in Arras, France, in June 2017. The 70 revised full papers presented together with 45 short papers and 3 invited talks were carefully reviewed and selected from 180 submissions. They are organized in topical sections: constraints, planning, and optimization; data mining and machine learning; sensors, signal processing, and data fusion; (...) recommender systems; decision support systems; knowledge representation and reasoning; navigation, control, and autonome agents; sentiment analysis and social media; games, computer vision; and animation; uncertainty management; graphical models: from theory to applications; anomaly detection; agronomy and artificial intelligence; applications of argumentation; intelligent systems in healthcare and mhealth for health outcomes; and innovative applications of textual analysis based on AI. (shrink)

This study attempts to determine a correlation effect between people’s perception and awareness of the operationalization of artificial intelligence in their everyday lives and in the production, presentation, and publication of news media in the U.S. By looking at the effect individual characteristics may have on a person’s perception and awareness of AI operationalized for news media and looking at whether perception and/or awareness of AI operationalized in a person’s daily life affects their perception and awareness of AI operationalized (...) for news media, we seek to find correlation between these two factors. The research relies on Actor-network theory, the MAIN Model, and utilizes a convenience sample survey method using the MTurk participant platform. (shrink)

This paper develops an account of trustworthy AI. Its central idea is that whether AIs are trustworthy is a matter of whether they live up to their function-based obligations. We argue that this account serves to advance the literature in a couple of important ways. First, it serves to provide a rationale for why a range of properties that are widely assumed in the scientific literature, as well as in policy, to be required of trustworthy AI, such as safety, justice, (...) and explainability, are properties (often) instantiated by trustworthy AI. Second, we connect the discussion on trustworthy AI in policy, industry, and the sciences with the philosophical discussion of trustworthiness. We argue that extant accounts of trustworthiness in the philosophy literature cannot make proper sense of trustworthy AI and that our account compares favourably with its competitors on this front. (shrink)

The world’s current model for economic development is unsustainable. It encourages high levels of resource extraction, consumption, and waste that undermine positive environmental outcomes. Transitioning to a circular economy (CE) model of development has been proposed as a sustainable alternative. Artificial intelligence (AI) is a crucial enabler for CE. It can aid in designing robust and sustainable products, facilitate new circular business models, and support the broader infrastructures needed to scale circularity. However, to date, considerations of the ethical implications (...) of using AI to achieve a transition to CE have been limited. This article addresses this gap. It outlines how AI is and can be used to transition towards CE, analyzes the ethical risks associated with using AI for this purpose, and supports some recommendations to policymakers and industry on how to minimise these risks. (shrink)

It has become a truism that the ethics of artificial intelligence (AI) is necessary and must help guide technological developments. Numerous ethical guidelines have emerged from academia, industry, government and civil society in recent years. While they provide a basis for discussion on appropriate regulation of AI, it is not always clear how these ethical guidelines were developed, and by whom. Using content analysis, we surveyed a sample of the major documents (_n_ = 47) and analyzed the accessible information (...) regarding their methodology and stakeholder engagement. Surprisingly, only 38% report some form of stakeholder engagement (with 9% involving citizens) and most do not report their methodology for developing normative insights (15%). Our results show that documents with stakeholder engagement develop more comprehensive ethical guidance with greater applicability, and that the private sector is least likely to engage stakeholders. We argue that the current trend for enunciating AI ethical guidance not only poses widely discussed challenges of applicability in practice, but also of transparent development (as it rather behaves as a black box) and of active engagement of diversified, independent and trustworthy stakeholders. While most of these documents consider people and the common good as central to their telos, engagement with the general public is significantly lacking. As AI ethics moves from the initial race for enunciating general principles to more sustainable, inclusive and practical guidance, stakeholder engagement and citizen involvement will need to be embedded into the framing of ethical and societal expectations towards this technology. (shrink)

Since around 2012, there has been a ‘deep learning revolution’ in artificial intelligence (AI) that has brought AI to the forefront of many sectors of human activity. As new AI technology has sprea...

We are living in an era when the focus of human relationships with the world is shifting from execution and physical impact to control and cognitive/informational interaction. This emerging, increasingly informational world is our new ecology, an infosphere that presents the grounds for a cognitive revolution based on interactions in networks of biological and artificial, intelligent agents. After the industrial revolution, which extended the human body through mechanical machinery, the cognitive revolution extends the human mind/cognition through information-processing machinery. (...) These novel circumstances come with new qualities and preferences demanding new conceptualizations. We have some work ahead of us to establish value systems and practices extended from the real to the increasingly virtual/info-computational. This paper first presents a current view of the virtual versus the real and then offers an interpretation framework based on an info-computational understanding of cognition in which agency implies computational processing of informational structures of the world as an infosphere. The notion of “good life” is discussed in light of different ideals of well-being in the infosphere, connecting virtuality as a space of potential and alternative worlds for an agent for whom the reality is a space of actual experiences, in the sense of Deleuze. Even though info-computational framework enables us to see both the real world and the diversity of virtual worlds in terms of computational processes on informational structures, based on a distinct layered cognitive architecture of all physical agents, there is clear difference between potential worlds of the virtual and actual agent’s experiences made in the real. Info-computationalism enables insight into the mechanisms of infosphere and elucidates its importance as cognitively predominant environment and communication media. The conclusion is that by cocooning ourselves in an elaborate info-computational infrastructure of the virtual, we may be increasingly isolating ourselves from the reality of direct experience of the world. The biggest challenges of the cognitive revolution may not be technological but ethical. They are about the nature of being human and its values. (shrink)

For over a decade John Searle's ingenious argument against the possibility of artificial intelligence has held a prominent place in contemporary philosophy. This is not just because of its striking central example and the apparent simplicity of its argument. As its appearance in Scientific American testifies, it is also due to its importance to the wider scientific community. If Searle is right, artificial intelligence in the strict sense, the sense that would claim that mind can be instantiated through (...) a formal program of symbol manipulation, is basically wrong. No set of formal conditions can provide us with the characteristic feature of mind which is the intentionally of its mental contents. Formally regarded, such intentionally is an irreducible primitive. It cannot be analyzed into non-intentional (purely syntactic, symbolic) components. This paper will argue that this objection is based on a misunderstanding. Intentionality is not simply something given which is incapable of further analysis. It only appears so when we mistakenly abstract it from time. When we regard its temporal structure, it shows itself as a rule-governed, synthetic process, one capable of being instantiated both by machines and men. (shrink)

Highly sophisticated capabilities of artificial intelligence (AI) have skyrocketed its popularity across many industry sectors globally. The public sector is one of these. Many cities around the world are trying to position themselves as leaders of urban innovation through the development and deployment of AI systems. Likewise, increasing numbers of local government agencies are attempting to utilise AI technologies in their operations to deliver policy and generate efficiencies in highly uncertain and complex urban environments. While the popularity of AI (...) is on the rise in urban policy circles, there is limited understanding and lack of empirical studies on the city manager perceptions concerning urban AI systems. Bridging this gap is the rationale of this study. The methodological approach adopted in this study is twofold. First, the study collects data through semi-structured interviews with city managers from Australia and the US. Then, the study analyses the data using the summative content analysis technique with two data analysis software. The analysis identifies the following themes and generates insights into local government services: AI adoption areas, cautionary areas, challenges, effects, impacts, knowledge basis, plans, preparedness, roadblocks, technologies, deployment timeframes, and usefulness. The study findings inform city managers in their efforts to deploy AI in their local government operations, and offer directions for prospective research. (shrink)

The current literature in artificial intelligence and robotics awareness focused on the dark side of AIRA. Accordingly, this study sheds light on the positive effect of AIRA on employee creativity by exploring how and when hotel employees may take proactive behavior facing the threat of AI and robotics to further stimulate creativity. Based on the work adjustment theory and the locus of control theory, this study constructs a moderating multiple mediation model to explain the influence of AIRA on employee (...) creativity, in which active learning and task crafting are used as mediating variables, and locus of control is used as moderating variable. Data collected from 264 employees in a Chinese hotel are used for empirical analysis. Results show that AIRA indirectly positively affects employee creativity via active learning and task crafting and Locus of control not only moderates the mediating effect of active learning between the relationship of AIRA and employee creativity but also moderates the mediating effect of task crafting between the relationship of AIRA and employee creativity. The theoretical and practical implications are discussed. (shrink)

Purpose The purpose of this paper is to demonstrate the advancements in artificial intelligence (AI) and conversational agents, emphasizing their potential benefits while also highlighting the need for vigilant monitoring to prevent unethical applications. Design/methodology/approach As AI becomes more prevalent in academia and research, it is crucial to explore ways to ensure ethical usage of the technology and to identify potentially unethical usage. This manuscript uses a popular AI chatbot to write the introduction and parts of the body of (...) a manuscript discussing conversational agents, the ethical usage of chatbots and ethical concerns for academic researchers. Findings The authors reveal which sections were written entirely by the AI using a conversational agent. This serves as a cautionary tale highlighting the importance of ethical considerations for researchers and students when using AI and how educators must be prepared for the increasing prevalence of AI in the academy and industry. Measures to mitigate potential unethical use of this evolving technology are also discussed in the manuscript. Originality/value As conversational agents and chatbots increase in society, it is crucial to understand how they will impact the community and how we can live with technology instead of fighting against it. (shrink)

The content of this paper is an elaboration of Hubert L. Dreyfus’s philosophical critique of Artificial Intelligence (AI), computers and the internet. Hubert L. Dreyfus (1929-2017) is Ua SA philosopher and alumni of Harvard University who teach at the Massachusetts Institute of Technology (MIT) and University of California, Berkeley. He is a phenomenological philosopher who criticize computer researchers and the artificial intelligence community. In 1965, Dreyfus wrote an article for Rand Corporation titled “Alchemy and Artificial Intelligence” which (...) criticizes the masterminds of Artificial Intelligence. Dreyfus also criticized the order of computers via two books: (1) What Computers Can’t Do (1972) and (2) What Computers Stills Can’t Do (1992). He favored human intuition rather than the computer logic in his book Mind over Machine: The Power of Human Intuition and Expertise in the Era of the Computer (1986). In 2001, Dreyfus wrote a book On the Internet, which considers the prominent phenomenon in the recent Industry 4.0. By elaborating on Dreyfus’s philosophy on the computer, artificial intelligence, and the internet, we will know the philosophical debate on the result of industry 3.0 (computer and artificial intelligence) and 4.0 (artificial intelligence and internet). Moreover, we will know the relation between humans and those industrial products. (shrink)

In July 2017, China’s State Council released the country’s strategy for developing artificial intelligence, entitled ‘New Generation Artificial Intelligence Development Plan’. This strategy outlined China’s aims to become the world leader in AI by 2030, to monetise AI into a trillion-yuan industry, and to emerge as the driving force in defining ethical norms and standards for AI. Several reports have analysed specific aspects of China’s AI policies or have assessed the country’s technical capabilities. Instead, in this article, we (...) focus on the socio-political background and policy debates that are shaping China’s AI strategy. In particular, we analyse the main strategic areas in which China is investing in AI and the concurrent ethical debates that are delimiting its use. By focusing on the policy backdrop, we seek to provide a more comprehensive and critical understanding of China’s AI policy by bringing together debates and analyses of a wide array of policy documents. (shrink)

Machine learning, and more broadly artificial intelligence (AI), is a fascinating technology and can be considered as the closest approximation to the Cartesian “thinking thing” that humans have ever created. Just as the industrial revolution required a new ethos, the age of intelligent machines will create its own, challenging the established moral, economic, and political presuppositions. This paper discusses the relationship between AI and society; it presents several thought experiments to explore the complexity of the relationship and highlights (...) the insufficiency of the current normative paradigm in addressing technological expansion. I argue that many of the externalities, such as security risks, loss of privacy, and economic instability will result from trying to fit the emerging technologies into the existing frame of efficiency and utility, by redefining the notions of human value, identity, autonomy, purity, and truth, among others. The age of the intelligent machine is elevating alienation to new levels, treating the individual as mere patterns in data—its primary commodity. I further argue that while the possibility of unintended consequences, due to the potential misuse of AI is ever present, the intelligent machine per se is unlikely to engage in a zero-sum game for power on its own initiative. I question whether singularity is at all attainable and argue that technology will forever remain a proxy for human interests. I conclude by posing questions for charting the path forward. Through this analysis, I aim to provide a more nuanced understanding of the complex relationship between the AI and humans. (shrink)

Artificial intelligence is rapidly entering our daily lives in the form of driverless cars, automated online assistants and virtual reality experiences. In so doing, AI has already substituted human employment in areas that were previously thought to be uncomputerizable. Based on current trends, the technological displacement of labor is predicted to be significant in the future – if left unchecked this will lead to catastrophic societal unemployment levels. This paper presents a means to mitigate future technological unemployment through the (...) introduction of a Basic Income scheme, accompanied by reforms in school curricula and retraining programs. Our proposal argues that such a scheme can be funded by a special tax on those industries that make use of robotic labour; it includes a practical roadmap that would see a government take this proposal from the conceptual phase and implement it nationwide in the span of one decade. (shrink)

Our social relations are changing, we are now not just talking to each other, but we are now also talking to artificial intelligence (AI) assistants. We claim AI assistants present a new form of digital connectivity risk and a key aspect of this risk phenomenon is related to user risk awareness (or lack of) regarding AI assistant functionality. AI assistants present a significant societal risk phenomenon amplified by the global scale of the products and the increasing use in healthcare, (...) education, business, and service industry. However, there appears to be little research concerning the need to not only understand the changing risks of AI assistant technologies but also how to frame and communicate the risks to users. How can users assess the risks without fully understanding the complexity of the technology? This is a challenging and unwelcome scenario. AI assistant technologies consist of a complex ecosystem and demand explicit and precise communication in terms of communicating and contextualising the new digital risk phenomenon. The paper then argues for the need to examine how to best to explain and support both domestic and commercial user risk awareness regarding AI assistants. To this end, we propose the method of creating a risk narrative which is focused on temporal points of changing societal connectivity and contextualised in terms of risk. We claim the connectivity risk narrative provides an effective medium in capturing, communicating, and contextualising the risks of AI assistants in a medium that can support explainability as a risk mitigation mechanism. (shrink)

The artificial intelligence models with machine learning that exhibit the best predictive accuracy, and therefore, the most powerful ones, are, paradoxically, those with the most opaque black-box architectures. At the same time, the unstoppable computerization of advanced industrial societies demands the use of these machines in a growing number of domains. The conjunction of both phenomena gives rise to a control problem on AI that in this paper we analyze by dividing the issue into two. First, we carry (...) out an epistemological examination of the AI’s opacity in light of the latest techniques to remedy it. And second, we evaluate the rationality of delegating tasks in opaque agents. (shrink)

Trust and trustworthiness are central concepts in contemporary discussions about the ethics of and qualities associated with artificial intelligence (AI) and the relationships between people, organisations and AI. In this article we develop an interdisciplinary approach, using socio-technical software engineering and design anthropological approaches, to investigate how trust and trustworthiness concepts are articulated and performed by AI software practitioners. We examine how trust and trustworthiness are defined in relation to AI across these disciplines, and investigate how AI, trust and (...) trustworthiness are conceptualised and experienced through an ethnographic study of the work practices of nine practitioners in the software industry. We present key implications of our findings for the generation of trust and trustworthiness and for the training and education of future software practitioners. (shrink)

Several technological developments, such as self-service technologies and artificial intelligence, are disrupting the retailing industry by changing consumption and purchase habits and the overall retail experience. Although AI represents extraordinary opportunities for businesses, companies must avoid the dangers and risks associated with the adoption of such systems. Integrating perspectives from emerging research on AI, morality of machines, and norm activation, we examine how individuals morally behave toward AI agents and self-service machines. Across three studies, we demonstrate that consumers’ moral (...) concerns and behaviors differ when interacting with technologies versus humans. We show that moral intention is less likely to emerge for AI checkout and self-checkout machines compared with human checkout. In addition, moral intention decreases as people consider the machine less humanlike. We further document that the decline in morality is caused by less guilt displayed toward new technologies. The non-human nature of the interaction evokes a decreased feeling of guilt and ultimately reduces moral behavior. These findings offer insights into how technological developments influence consumer behaviors and provide guidance for businesses and retailers in understanding moral intentions related to the different types of interactions in a shopping environment. (shrink)