scholarly journals Constitutional democracy and technology in the age of artificial intelligence

Author(s):  
Paul Nemitz

Given the foreseeable pervasiveness of artificial intelligence (AI) in modern societies, it is legitimate and necessary to ask the question how this new technology must be shaped to support the maintenance and strengthening of constitutional democracy. This paper first describes the four core elements of today's digital power concentration, which need to be seen in cumulation and which, seen together, are both a threat to democracy and to functioning markets. It then recalls the experience with the lawless Internet and the relationship between technology and the law as it has developed in the Internet economy and the experience with GDPR before it moves on to the key question for AI in democracy, namely which of the challenges of AI can be safely and with good conscience left to ethics, and which challenges of AI need to be addressed by rules which are enforceable and encompass the legitimacy of democratic process, thus laws. The paper closes with a call for a new culture of incorporating the principles of democracy, rule of law and human rights by design in AI and a three-level technological impact assessment for new technologies like AI as a practical way forward for this purpose. This article is part of a theme issue ‘Governing artificial intelligence: ethical, legal, and technical opportunities and challenges’.

This book is the first to examine the history of imaginative thinking about intelligent machines. As real artificial intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed, deployed, and regulated. It is therefore a crucial social and ethical issue. Part I of this book provides a historical overview from ancient Greece to the start of modernity. These chapters explore the revealing prehistory of key concerns of contemporary AI discourse, from the nature of mind and creativity to issues of power and rights, from the tension between fascination and ambivalence to investigations into artificial voices and technophobia. Part II focuses on the twentieth and twenty-first centuries in which a greater density of narratives emerged alongside rapid developments in AI technology. These chapters reveal not only how AI narratives have consistently been entangled with the emergence of real robotics and AI, but also how they offer a rich source of insight into how we might live with these revolutionary machines. Through their close textual engagements, these chapters explore the relationship between imaginative narratives and contemporary debates about AI’s social, ethical, and philosophical consequences, including questions of dehumanization, automation, anthropomorphization, cybernetics, cyberpunk, immortality, slavery, and governance. The contributions, from leading humanities and social science scholars, show that narratives about AI offer a crucial epistemic site for exploring contemporary debates about these powerful new technologies.


2021 ◽  
Vol 66 (05) ◽  
pp. 168-172
Author(s):  
Leyla Mobil Khankishiyeva ◽  

One of the realities of modern times is the evolution of new technologies around the world, as well as the use of artificial intelligence (AI) and robotics in different spheres of society. Artificial intelligence, which was founded in the middle of the last century, has been one of the most invested in and interesting fields in recent times. Recently one of the most discussed and important issues is the relationship between artificial intelligence (AI) and intellectual property rights (IPR). Thus, the ownership of works created by artificial intelligence is one of the most discussed issues. In recent years, on the initiative of President Ilham Aliyev, modern achievements of world science have been applied in the life of society in the Republic of Azerbaijan. Considering all of this, the significance and urgency of the situation are clear. In other words, this is an issue that is high on both our national and international agendas. Key words: Artificial intelligence technology, creative activity, concept of "author", “work made for hire” doctrine,computer-generated works


2008 ◽  
Vol 9 (2) ◽  
pp. 155-159 ◽  
Author(s):  
Vilmantė Kumpikaitė ◽  
Ramunė Čiarnienė

There is emerging evidence that new technologies are related to improvements in productivity. Nevertheless, in considering the relationship between new technology and productivity, it is vital to consider human resource management and development issues due to their mediating effects on the relationship between new technology and productivity. This paper focuses on training technologies, especially e‐learning. The increasing use of new technologies to deliver training and to store and communicate knowledge means that trainers must be technologically literate. That is, they must understand the strengths and weaknesses of new technologies and implementation issues such as overcoming users’ resistance to change. The paper reports the findings of a study of 724 Lithuanian employees, which revealed relatively weak usage of new technologies and e‐learning in human resource development processes.


Author(s):  
Fen LIN

LANGUAGE NOTE | Document text in Chinese; abstract in English only.In the dominant discourse of the "human–machine relationship," people and machines are the subjects, with a mutually shaping influence. However, this framework neglects the crux of the current critical analysis of AI. It reduces the problems with new technology to the relationship between people and machines, ignoring the re-shaping of the relationship between "people and people" in the era of new technology. This simplification may mislead policy and legal regulations for new technologies. Why would a robot killing cause more panic than a murder committed by a human? Why is a robot's misdiagnosis more troubling than a doctor's? Why do patients assume that machines make more accurate diagnoses than doctors? When a medical accident occurs, who is responsible for the mistakes of an intelligent medical system? In the framework of traditional professionalism, the relationship between doctors and patients, whether trusted or not, is based on the premise that doctors have specialized knowledge that patients do not possess. Therefore, the authority of a doctor is the authority of knowledge. In the age of intelligence, do machines provide information or knowledge? Can this strengthen or weaken the authority of doctors? It is likely that in the age of intelligence, the professionalism, authority and trustworthiness of doctors require a new knowledge base. Therefore, the de-skilling of doctors is not an issue of individual doctors, but demands an update of the knowledge of the entire industry. Recognizing this, policy makers must not focus solely on the use of machines, but take a wider perspective, considering how to promote the development of doctors and coordinate the relationship between doctors with different levels of knowledge development. We often ask, "In the era of intelligence, what defines a human?" This philosophical thinking should be directed toward not only the difference between machines and people as individuals, but also how the relationship between human beings, i.e., the social nature of humans, evolves in different technological environments. In short, this commentary stresses that a "good" machine or an "evil" machine—beyond the sci-fi romance of such discourse—reflects the evolution of the relationships between people. In today's smart age, the critical issue is not the relationship between people and machines. It is how people adjust their relationships with other people as machines become necessary tools in life. In the era of intelligence, therefore, our legislation, policy and ethical discussion should resume their focus on evolutionary relationships between people.DOWNLOAD HISTORY | This article has been downloaded 41 times in Digital Commons before migrating into this platform.


Author(s):  
Pedro Mota Teixeira ◽  
Maria João Félix ◽  
Paula Tavares

In recent years, digital games had the capacity to join a vast set of knowledge fields that provided them the status of one of the areas that has most contributed to the development of contemporary theory of new technologies and also to the development of new imagetic solutions, especially in tri-dimensional representation (3D). Digital games were the motto in the research of artificial intelligence, physical and virtual interfaces, the relationship between man and machine, virtual representation, and development in the field of digital animation. In this context, the aim of the authors’ proposal is to show the need and universality of design in the development of digital games, at the level of amusement games and, mainly, in serious games. Since the authors consider design as a project and understand design as an essential tool in the development of the project, they will dwell on the amplitude of design and designer in multidisciplinary teams of game creation. The following “4 Ds” will be studied and explained in detail: design of games, design of characters and virtual scenography, “design” of emotions, and design of the interface.


2020 ◽  
Vol 5 (3-4) ◽  
pp. 129-133
Author(s):  
Benjamin Shestakofsky

Some researchers have warned that advances in artificial intelligence will increasingly allow employers to substitute human workers with software and robotic systems, heralding an impending wave of technological unemployment. By attending to the particular contexts in which new technologies are developed and implemented, others have revealed that there is nothing inevitable about the future of work, and that there is instead the potential for a diversity of models for organizing the relationship between work and artificial intelligence. Although these social constructivist approaches allow researchers to identify sources of contingency in technological outcomes, they are less useful in explaining how aims and outcomes can converge across diverse settings. In this essay, I make the case that researchers of work and technology should endeavor to link the outcomes of artificial intelligence systems not only to their immediate environments but also to less visible—but nevertheless deeply influential—structural features of societies. I demonstrate the utility of this approach by elaborating on how finance capital structures technology choices in the workplace. I argue that investigating how the structure of ownership influences a firm’s technology choices can open our eyes to alternative models and politics of technological development, improving our understanding of how to make innovation work for everyone instead of allowing the benefits generated by technological change to be hoarded by a select few.


2019 ◽  
Vol 8 (10) ◽  
pp. 1618 ◽  
Author(s):  
Ferro ◽  
Nicholson ◽  
Koka

Background: The field of implant dentistry education is rapidly evolving as new technologies permit innovative methods to teach the fundamentals of implant dentistry. Methods: Literature from the fields of active learning, blended learning, augmented reality, artificial intelligence, haptics, and mixed reality were reviewed and combined with the experience and opinions of expert authors. Both positive and negative aspects of the learning methods are presented. Results and Conclusion: The fundamental objectives of teaching and learning remain unchanged, yet the opportunities to reach larger audiences and integrate their learning into active experiences are evolving due to the introduction of new teaching and learning methodologies. The ability to reach a global audience has never been more apparent. Nevertheless, as much as new technology can be alluring, each new method comes with unique limitations.


2017 ◽  
Vol 41 (S1) ◽  
pp. S717-S717
Author(s):  
D.F. Burgese ◽  
D.P. Bassitt ◽  
D. Ceron-Litvoc ◽  
G.B. Liberali

With the advent of new technologies, the man begins to experience a significant change in the perception of the other, time and space. The acceleration of time promoted by new technology does not allow the exercise of affection for the consolidation of ties, relations take narcissists hues seeking immediate gratification and the other is understood as a continuation of the self, the pursuit of pleasure. It is the acceleration of time, again, which leads man to present the need for immediate, always looking for the new – not new – in an attempt to fill an inner space that is emptied. The retention of concepts and pre-stressing of temporality are liquefied, become fleeting. We learn to live in the world and the relationship with the other in a frivolous and superficial way. The psychic structure, facing new phenomena experienced, loses temporalize capacity and expand its spatiality, it becomes pathological. Post-modern inability to retain the past, to analyze the information received and reflect, is one of the responsible for the mental illness of today's society. From a temporality range of proper functioning, the relationship processes with you and your peers will have the necessary support to become viable and healthy.Disclosure of interestThe authors have not supplied their declaration of competing interest.


2005 ◽  
Vol 46 (2) ◽  
pp. 306-328 ◽  
Author(s):  
Anthony E. Smith

Drawing on evidence from five detalled case studies, this paper focuses on the relationship between technical innovation and non-manual skills and work organization. In none of these cases could the introduction of new technologies simply equate technical innovation with deskilling and enhanced managerial control. Indeed, one of the more interesting and important findings of the research was that technological change has been more favourable for technical than for clerical occupational groups.


2021 ◽  
Vol 12 ◽  
Author(s):  
Yingjing Duan ◽  
Jie Zhang ◽  
Xiaoqing Gu

With the development of artificial intelligence (AI), it is imperative to combine design methods with new technologies. From the perspective of the personalized design of derived images of art paintings, this study analyzes the new user demand generated by the current situation and background of personalized design, puts forward a new method of derivative design based on AI emotion analysis, verifies the feasibility of the new method by constructing a personalized design system of derived images of art paintings driven by facial emotion features, and explores the method of combining AI emotion recognition, emotion analysis, and personalized design. This study provides new ideas for the design of art derivatives for the future with massive personalized demand. Thinking and practicing from the perspective of the development of new technology will promote the change of design paradigms in the digital age.


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