scholarly journals Me, My Bot and His Other (Robot) Woman? Keeping Your Robot Satisfied in the Age of Artificial Emotion

Robotics ◽  
2018 ◽  
Vol 7 (3) ◽  
pp. 44 ◽  
Author(s):  
Rebekah Rousi

With a backdrop of action and science fiction movie horrors of the dystopian relationship between humans and robots, surprisingly to date-with the exception of ethical discussions-the relationship aspect of humans and sex robots has seemed relatively unproblematic. The attraction to sex robots perhaps is the promise of unproblematic affectionate and sexual interactions, without the need to consider the other’s (the robot’s) emotions and indeed preference of sexual partners. Yet, with rapid advancements in information technology and robotics, particularly in relation to artificial intelligence and indeed, artificial emotions, there almost seems the likelihood, that sometime in the future, robots too, may love others in return. Who those others are-whether human or robot-is to be speculated. As with the laws of emotion, and particularly that of the cognitive-emotional theory on Appraisal, a reality in which robots experience their own emotions, may not be as rosy as would be expected.

2019 ◽  
Vol 5 (1) ◽  
pp. 166-190
Author(s):  
Qur'ani Dewi Kusumawardani

Information technology in the era of Industrial Revolution 4.0 will become more sophisticated and increasingly influence the relationship between law and society. Law, in interaction with artificial intelligence and algorithms, will be expected in the future to provide quick and just answers to human problems.  It is also predicted that in settling disputes, artificial intelligence and algorithm will replace the role and function of lawyers and judges. This prediction of how artificial intelligence and algorithm will replace law’s societal function will be analyzed using the progressive law theory which perceived law to be subordinate to human interest.


Author(s):  
Michael Szollosy

Public perceptions of robots and artificial intelligence (AI)—both positive and negative—are hopelessly misinformed, based far too much on science fiction rather than science fact. However, these fictions can be instructive, and reveal to us important anxieties that exist in the public imagination, both towards robots and AI and about the human condition more generally. These anxieties are based on little-understood processes (such as anthropomorphization and projection), but cannot be dismissed merely as inaccuracies in need of correction. Our demonization of robots and AI illustrate two-hundred-year-old fears about the consequences of the Enlightenment and industrialization. Idealistic hopes projected onto robots and AI, in contrast, reveal other anxieties, about our mortality—and the transhumanist desire to transcend the limitations of our physical bodies—and about the future of our species. This chapter reviews these issues and considers some of their broader implications for our future lives with living machines.


2020 ◽  
Vol 11 (1) ◽  
pp. 233-249 ◽  
Author(s):  
Mika Koverola ◽  
Marianna Drosinou ◽  
Jussi Palomäki ◽  
Juho Halonen ◽  
Anton Kunnari ◽  
...  

AbstractThe idea of sex with robots seems to fascinate the general public, raising both enthusiasm and revulsion. We ran two experimental studies (Ns = 172 and 260) where we compared people’s reactions to variants of stories about a person visiting a bordello. Our results show that paying for the services of a sex robot is condemned less harshly than paying for the services of a human sex worker, especially if the payer is married. We have for the first time experimentally confirmed that people are somewhat unsure about whether using a sex robot while in a committed monogamous relationship should be considered as infidelity. We also shed light on the psychological factors influencing attitudes toward sex robots, including disgust sensitivity and interest in science fiction. Our results indicate that sex with a robot is indeed genuinely considered as sex, and a sex robot is genuinely seen as a robot; thus, we show that standard research methods on sexuality and robotics are also applicable in research on sex robotics.


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


2021 ◽  
Author(s):  
Armstrong Lee Agbaji

Abstract Historically, the oil and gas industry has been slow and extremely cautious to adopt emerging technologies. But in the Age of Artificial Intelligence (AI), the industry has broken from tradition. It has not only embraced AI; it is leading the pack. AI has not only changed what it now means to work in the oil industry, it has changed how companies create, capture, and deliver value. Thanks, or no thanks to automation, traditional oil industry skills and talents are now being threatened, and in most cases, rendered obsolete. Oil and gas industry day-to-day work is progressively gravitating towards software and algorithms, and today’s workers are resigning themselves to the fact that computers and robots will one day "take over" and do much of their work. The adoption of AI and how it might affect career prospects is currently causing a lot of anxiety among industry professionals. This paper details how artificial intelligence, automation, and robotics has redefined what it now means to work in the oil industry, as well as the new challenges and responsibilities that the AI revolution presents. It takes a deep-dive into human-robot interaction, and underscores what AI can, and cannot do. It also identifies several traditional oilfield positions that have become endangered by automation, addresses the premonitions of professionals in these endangered roles, and lays out a roadmap on how to survive and thrive in a digitally transformed world. The future of work is evolving, and new technologies are changing how talent is acquired, developed, and retained. That robots will someday "take our jobs" is not an impossible possibility. It is more of a reality than an exaggeration. Automation in the oil industry has achieved outcomes that go beyond human capabilities. In fact, the odds are overwhelming that AI that functions at a comparable level to humans will soon become ubiquitous in the industry. The big question is: How long will it take? The oil industry of the future will not need large office complexes or a large workforce. Most of the work will be automated. Drilling rigs, production platforms, refineries, and petrochemical plants will not go away, but how work is done at these locations will be totally different. While the industry will never entirely lose its human touch, AI will be the foundation of the workforce of the future. How we react to the AI revolution today will shape the industry for generations to come. What should we do when AI changes our job functions and workforce? Should we be training AI, or should we be training humans?


2021 ◽  
Author(s):  
SANGHAMITRA CHOUDHURY ◽  
Shailendra Kumar

<p>The relationship between women, technology manifestation, and likely prospects in the developing world is discussed in this manuscript. Using India as a case study, the paper goes on to discuss how ontology and epistemology views utilised in AI (Artificial Intelligence) and robotics will affect women's prospects in developing countries. Women in developing countries, notably in South Asia, are perceived as doing domestic work and are underrepresented in high-level professions. They are disproportionately underemployed and face prejudice in the workplace. The purpose of this study is to determine if the introduction of AI would exacerbate the already precarious situation of women in the developing world or if it would serve as a liberating force. While studies on the impact of AI on women have been undertaken in developed countries, there has been less research in developing countries. This manuscript attempts to fill that need.</p>


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
José Arias-Pérez ◽  
Juan Vélez-Jaramillo

Purpose Artificial intelligence (AI) will be performing 52% of the tasks in companies by 2025. The increasing adoption of AI is generating technological turbulence in the business environment. Previous studies have also shown that employees are aware of the high risk of losing their jobs when being replaced by AI. The risk of employees engaging in opportunistic behaviors, such as knowledge hiding, is thus fairly high. Therefore, the aim of this paper is to analyze the mediating effect of employee’s AI awareness on the relationship between technological turbulence generated by AI and the three types of knowledge hiding: evasive hiding, playing dumb and rationalized hiding. Design/methodology/approach Structural equations by the partial least squares method were used to test the proposed research model. Findings The most interesting finding is that employee’s AI and robotics awareness fulfills almost all mediating functions in the relationship between technological turbulence generated by AI and the three types of knowledge hiding. Originality/value The results show that knowledge hiding in the digital age is first and foremost a strategy by employees to sabotage and induce failure in process automation, to reduce the risk of being replaced in the workplace by AI. This study indicates that employees are willing to hide knowledge in all possible ways when perception that AI is a threat to their job increases. In other words, technological turbulence generated by AI and employee’s AI awareness are the two great new triggers of knowledge hiding in the digital age.


Author(s):  
Idris Olayiwola Ganiyu ◽  
Ola Olusegun Oyedele ◽  
Evelyn Derera

The Fourth Industrial Revolution has resulted in the disruption of the world of work whereby technological innovation such as artificial intelligence (AI) and robotics. These disruptions may be creative in that as some jobs are lost due to the development of artificial intelligence, new ones are created. This chapter explored the impact of disruptive technological innovations on the future of work. The skill gaps brought about by the emergence of the Fourth Industrial Revolution was also explored in this chapter.


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.


1991 ◽  
Vol 6 (3-4) ◽  
pp. 128-139 ◽  
Author(s):  
Yash P. Gupta

Information technology (IT) has become a strategic resource for many firms today. Coordination of this resource requires strong leadership and cooperation within the firm. The relationship of the Chief Executive Officer (CEO) and the Chief Information Officer (CIO) is crucial for the effective, successful utilization of IT for competitive advantage. This paper first explores the CIO position, giving reasons for its development, tracing its evolution, and pinpointing certain responsibilities associated with the position. The paper then highlights the CIO's concerns and identifies the future implications for the CIO. The second portion of the paper takes the CEO's perspective towards IT and the CIO's position. Special attention is directed towards describing the CEO's perspective on the CIO's qualifications, addressing the problem of overblown CEO expectations for the CIO position, and discussing ‘old-line’ CEOs’ attitudes towards IT and the CIO position. Also addressed is the exploration of the common CEO perception of the CIO as an ‘empire builder’ and an analysis of the CEO's perspective on the future need for a CIO position. Finally the paper focuses on developing this ‘strategic partnership’ between the CIO and the CEO. Suggestions are provided for the CIO and the CEO to help achieve this ideal partnership. Although these suggestions are not all conclusive, they are critical to the ‘partnership’.


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