The Impact of Artificial Intelligence on the Activities of a Futurist

2019 ◽  
Vol 12 (2) ◽  
pp. 156-168
Author(s):  
Rudy van Belkom

Artificial intelligence (AI) has surpassed the level of science fiction; it is increasingly being used as an analysis tool in modern scientific research. AI is able to classify and cluster large amounts of data in a short time, which could potentially save a lot of time and money. Algorithms can also recognize patterns that scientists might overlook. These advantages are currently hardly exploited in futures studies. This article will focus on the impact of AI on the activities of a futurist. A distinction is made between predicting, exploring, and creating the future. The aim of this article is to discuss the possibilities and challenges of using AI in futures studies. One of the biggest challenges of using AI in futures studies is the dependence of AI on large amounts of data which are not available about the future. We therefore have to work with historical data. I emphasize that it is crucial for futurists to take advantage of the opportunities that AI offers in futures studies, but to be well aware of its disadvantages and limitations.

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.


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.


Author(s):  
Zhi Li ◽  

The concept of Space megastructures is originated from science fiction novels. They symbolize the material landscape form of a comprehensive advancement of intelligent civilization after the continuous development of technology. Space megacity is actually an expansion process of human development in the future. It is not only a transformation of space colonization but also a mapping of self-help homeland. Therefore, it is a symbol of technological optimism and a future utopia in the context of technology. In contemporary times, sci-fi movies use digital technology to translate the giant imagination in literature into richer digital image landscapes. Space giant cities are one of the most typical digital images with spectacle view, which reflects the impact of American sci-fi movie scene design on the landscape and preference that human will be living in the future. The aesthetic preferences and design principles of the future picture, and the aesthetic value of science fiction as a medium of imagination are revealed. The aim of this article is to explore the digital design style of space megastructure with utopia sense in science fiction movies, and analyzes its aesthetic connotation.


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.


2019 ◽  
Vol 48 (1) ◽  
pp. 24-42 ◽  
Author(s):  
Thomas Davenport ◽  
Abhijit Guha ◽  
Dhruv Grewal ◽  
Timna Bressgott

Abstract In the future, artificial intelligence (AI) is likely to substantially change both marketing strategies and customer behaviors. Building from not only extant research but also extensive interactions with practice, the authors propose a multidimensional framework for understanding the impact of AI involving intelligence levels, task types, and whether AI is embedded in a robot. Prior research typically addresses a subset of these dimensions; this paper integrates all three into a single framework. Next, the authors propose a research agenda that addresses not only how marketing strategies and customer behaviors will change in the future, but also highlights important policy questions relating to privacy, bias and ethics. Finally, the authors suggest AI will be more effective if it augments (rather than replaces) human managers.


2018 ◽  
Vol 2 (4) ◽  
pp. 62-75
Author(s):  
Hussein Aliwi Nasser

The fields of scientific research expanded with the development of human civilization, where science was a practice of verbal description. It underwent a lot of change and development, and the Arabs had a long history in the field of science and scientists. The scientific messages contained the facts, theories and perceptions of the finest that can be obtained in any Another place of the world (1).       The objective of the research is to study the concept of scientific research in Iraq and to show its role in the service of society, and it is natural to face difficulties and obstacles, because upgrading it according to available possibilities. The research also dealt with the impact of Iraqi universities as the main incubator for scientific research.      As for the survey tools used in the research or the method used, the information was derived from different sources. The analytical descriptive descriptive approach was used in studying many of the developments and variables that accompanied the historical development of scientific research. As it is said, history is the "forefather of human sciences and (2), we are part of history, and one day we will turn to history, and history was the future of a date before and prior to the previous history. To understand the present, it is necessary to study the past in all its dimensions and to understand it in a way that helps us to predict the future and give the closest expectations to accuracy and realism.       With regard to the sources of the study, it relied on the official sources and references in the field of scientific research, as well as the translated Arabic references


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
José M. Arranz ◽  
Carlos García-Serrano ◽  
Virginia Hernanz

PurposeThis paper investigates whether short-time work (STW) schemes were successful in their objective of maintaining employment and keeping workers employed within the same firms after the onset of the financial and economic crisis in 2008.Design/methodology/approachSpanish longitudinal administrative data has been used, making it possible to identify short-time work (STW) participation not only of workers but also of employers and allowing to know the future labour market status of participants and non-participants. Accordingly, treatment and control groups are defined, and Propensity Score Matching models estimated. The dependent variable is measured as the probability that an individual remained employed with the same employer in the future (one, two and three years) after implementation of a STW arrangement.FindingsOur results suggest that treated individuals are about 5 percentage points less likely to remain working with the same employer one year later than similar workers, and this negative effect of participation increases over time. Thus, STW schemes would not have the assumed effect of preventing unemployment by keeping the participants employed relative to non-participants.Research limitations/implicationsAs our analysis is based on the comparison of the employment trajectories of participant and non-participant workers in firms that have used STW arrangements, our findings cannot be interpreted as the job saving effects of either macro or micro studies carried out previously.Practical implicationsThe analysis carried out in the paper is complementary to the country-level and firm-level approaches that have been used in the empirical literature.Originality/valueWe adopt a worker-level approach. This is novel since no previous study has focused attention on the impact of STW participation on the subsequent labour market status of workers.


Author(s):  
O. Vikulova ◽  
D. Gornostaeva

Based on the latest foreign sources, the article examines the impact of Artifi cial Intelligence and related robotics and automatization on the global economy, international trade, global value chains, the motivation and activities of companies, especially TNCs, the activities of the WTO, as well as the social consequences of these processes.


Author(s):  
Natalie Vanatta ◽  
Brian David Johnson

Threatcasting, a new foresight methodology, draws from futures studies and military strategic thinking to provide a novel method to model the future. The methodology fills gaps in existing military futures thinking and provides a process to specify actionable steps as well as progress indicators. Threatcasting also provides an ability to anticipate future threats and develop strategies to reduce the impact of any event. This technical note provides a detailed explanation of the Threatcasting methodology. It provides the reader with its connections to the current body of work within the foresight community and then explains the four phase methodology through the use of a real-life example.


Author(s):  
Manuel Au-Yong-Oliveira ◽  
Carlos Lopes ◽  
Francisco Soares ◽  
Goncalo Pinheiro ◽  
Pedro Guimaraes

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