What can we expect from the future? The impact of Artificial Intelligence on Society

2020 ◽  
Author(s):  
Manuel Au-Yong-Oliveira ◽  
Carlos Lopes ◽  
Francisco Soares ◽  
Goncalo Pinheiro ◽  
Pedro Guimaraes
Keyword(s):  
Artificial Intelligence ◽  
The Future ◽  
The Impact

Disruptions of the Fourth Industrial Revolution

2021 ◽  
pp. 189-199
Author(s):  
Idris Olayiwola Ganiyu ◽  
Ola Olusegun Oyedele ◽  
Evelyn Derera
Keyword(s):  
Artificial Intelligence ◽  
Technological Innovation ◽  
Industrial Revolution ◽  
Technological Innovations ◽  
Fourth Industrial Revolution ◽  
Skill Gaps ◽  
The World ◽  
The Future ◽  
The Impact ◽  
And Robotics

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.

scholarly journals How artificial intelligence will change the future of marketing

2019 ◽  
Vol 48 (1) ◽  
pp. 24-42 ◽  
Author(s):  
Thomas Davenport ◽  
Abhijit Guha ◽  
Dhruv Grewal ◽  
Timna Bressgott
Keyword(s):  
Artificial Intelligence ◽  
Research Agenda ◽  
Marketing Strategies ◽  
Important Policy ◽  
The Future ◽  
Task Types ◽  
The Impact ◽  
Future Of Marketing

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.

Artificial Intelligence (AI) and the future of international trade

2020 ◽  
pp. 71-79
Author(s):  
O. Vikulova ◽  
D. Gornostaeva
Keyword(s):  
Artificial Intelligence ◽  
International Trade ◽  
Global Economy ◽  
Global Value Chains ◽  
Social Consequences ◽  
Value Chains ◽  
The Social ◽  
The Future ◽  
The Impact

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.

scholarly journals The Impact of Artificial intelligence and Robotics on the Future Employment Opportunities

2020 ◽  
pp. 050-054
Author(s):  
Shaukat Kamran ◽  
Iqbal Farhat ◽  
Alam Talha Mahboob ◽  
Aujla Gagandeep Kaur ◽  
Devnath Liton ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Employment Opportunities ◽  
The Future ◽  
The Impact ◽  
And Robotics

scholarly journals Artificial intelligence in radiology: does it impact medical students preference for radiology as their future career?

BJR|Open ◽  
2020 ◽  
Vol 2 (1) ◽  
pp. 20200037
Author(s):  
Abdulmajeed Bin Dahmash ◽  
Mohammed Alabdulkareem ◽  
Aljabriyah Alfutais ◽  
Ahmed M Kamel ◽  
Feras Alkholaiwi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Medical Students ◽  
Negative Influence ◽  
Specialty Choice ◽  
Cross Sectional ◽  
First Choice ◽  
Multicenter Survey ◽  
The Future ◽  
Potential Impact ◽  
The Impact

Objective: To test medical students’ perceptions of the impact of artificial intelligence (AI) on radiology and the influence of these perceptions on their choice of radiology as a lifetime career. Methods: A cross-sectional multicenter survey of medical students in Saudi Arabia was conducted in April 2019. Results: Of the 476 respondents, 34 considered radiology their first specialty choice, 26 considered it their second choice, and 65 considered it their third choice. Only 31% believed that AI would replace radiologists in their lifetime, while 44.8% believed that AI would minimize the number of radiologists needed in the future. Approximately 50% believed they had a good understanding of AI; however, when knowledge of AI was tested using five questions, on average, only 22% of the questions were answered correctly. Among the respondents who ranked radiology as their first choice, 58.8% were anxious about the uncertain impact of AI on radiology. The number of respondents who ranked radiology as one of their top three choices increased by 14 when AI was not a consideration. Radiology conferences and the opinions of radiologists had the most influence on the respondents’ preferences for radiology. Conclusion: The worry that AI might displace radiologists in the future had a negative influence on medical students’ consideration of radiology as a career. Academic radiologists are encouraged to educate their students about AI and its potential impact when students are considering radiology as a lifetime career choice. Advances in knowledge: Rapid advances of AI in radiology will certainly impact the specialty, the concern of AI impact on radiology had negative influence in our participants and investing in AI education and is highly recommended.

The Future of Advertising

2021 ◽  
pp. 151-166
Author(s):  
Elissa Moses ◽  
Kimberly Rose Clark ◽  
Norman J. Jacknis
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Cognitive Processing ◽  
Emotional Response ◽  
Optimum Placement ◽  
The Future ◽  
Effective Advertising ◽  
The Cost ◽  
Development Assessment ◽  
The Impact

This chapter summarizes the role that artificial intelligence and machine learning (AI/ML) are expected to play at every stage of advertising development, assessment, and execution. Together with advances in neuroscience for measuring attention, cognitive processing, emotional response, and memory, AI/ML have advanced to a point where analytics can be used to identify variables that drive more effective advertising and predict enhanced performance. In addition, the cost of computation has declined, making platforms to apply these tools much less expensive and within reach. The authors then offer recommendations for 1) understanding the clients/customers and users of the products and services that will be advertised, 2) aiding creativity in the process of designing advertisements, 3) testing the impact of advertisements, and 4) identifying the optimum placement of advertisements.

scholarly journals Artificial Intelligence Applications and Impact on Consumers – With a View on Romanian Consumers’ Perceptions and Attitudes Related to AI

2021 ◽  
Vol 66 (2) ◽  
pp. 27-39
Author(s):  
Emanuel Sanda ◽  
Keyword(s):  
Artificial Intelligence ◽  
Personal Data ◽  
Critical Issue ◽  
Jel Classification ◽  
Machine Learning Algorithms ◽  
Smart Devices ◽  
Current Debate ◽  
Daily Lives ◽  
The Future ◽  
The Impact

Artificial Intelligence based technologies are becoming more and more pervasive in people’s lives. Whether it takes the form of machine learning algorithms, Internet of Things smart devices, virtual assistants, chatbots, robots, AR/VR experiences, consumers are faced directly or indirectly, conscientiously or unconscientiously, with a variety of incarnations of what is generically called AI. The current debate surrounding AI seems to focus on a few major aspects related to this next technological breakthrough. Right from the start, there is intense discussion even around the definition of AI: what is and what is not AI, how broad of a definition can be applied, and which of the many current and envisaged applications are actually ‘intelligent’. Then, there is the critical issue of the use of consumers’ personal data and underlying privacy issues, as AI seems to be built and thrive on being fed enormous amounts of data of various kinds. And lastly, there seems to be increasing concern regarding the potential for AI to evolve into AGI (Artificial General Intelligence – independent self-reliant robots) and the threats this poses to humanity. A subject of potentially equal importance could be AI applications and implementations are impacting individuals’ lives and the manner in which people relate to, perceive and assess AI and the underlying current technologies, both in terms of the impact in their daily lives, as well as in terms of expected prospects for the future. This paper looks at the progress made so far in addressing some of the above questions and, by analyzing data from EU’s 2017 Eurobarometer study, attempts to reveal how various Romanian consumer segments perceive and relate to AI and current technologies. It identifies potential emerging inequalities from access, acceptance and usage of these technologies at present and in the future. The paper also sets out future directions for further understanding of the intricate relationship between human consumers and emerging AI tech, both in terms of benefits as well as potential threats. Keywords: Artificial Intelligence, algorithms, consumer behavior, decision making JEL Classification: M30, M31, M39

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