Consumers Perception of Risk Towards Artificial Intelligence Technologies Used in Trade: A Scale Development Study

Aytekin, Pınar; Vîrlănuța, Florina Oana; Güven, Hüseyin; Stanciu, Silvius; Bolakca, Ipek; Guidance, Karabaglar

doi:10.24818/ea/2021/56/65

Cited by 8 publications

(5 citation statements)

References 5 publications

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“…Because AI can mimic human cognition and behavior, participants perceived the risk of AI replacing humans in the workforce. This fear of AI-caused unemployment was also observed by Aytekin et al (2021) and The Royal Society (2017). Participants predicted that specific groups will be disadvantaged, like the low-income, less educated, and low-skilled workers—groups of people who may struggle with seeking alternative employment.…”

Section: Resultssupporting

confidence: 61%

“…The above discussion is not only indicative of the paradoxes of choice phenomena (Schwartz, 2016), but it also relates to ethical issues discussed by Aytekin et al (2021), whereby survey participants felt that their online activity was constantly monitored and they were being directed to make purchases. Amongst the numerous AI functions, personalized algorithms mentioned 17 times across five focus groups, were perceived to pose risks to participants individually by causing excessive consumerism.…”

Section: Risk To the Individualmentioning

confidence: 98%

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Understanding user interactions and perceptions of AI risk in Singapore

Neyazi,

Ng,

Hobbs

et al. 2023

Big Data & Society

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Artificial Intelligence (AI) is becoming increasingly prevalent and its application highly sophisticated. Concerns about AI's vulnerabilities and future threats have, however, long been debated among scientists and the tech community. By integrating Beck's theory of risk society with an audience-centered sense-making approach, we seek to understand the effects of AI on the general public's daily lives and their concerns when they adopt AI technology. Five focus groups with 36 participants from Singapore, a technologically advanced country, were conducted to investigate their risk perceptions of AI and AI-powered technology. We found that participants were not passive consumers of content showing up on their news feeds; indeed, some participants attempted to outsmart the algorithms. They were aware that tech companies often tweak algorithms to personalize content and drive consumers into rabbit holes. Nevertheless, despite a certain level of awareness and sporadic attempts to “outsmart” the system, many users might still be influenced by these algorithms, underscoring the extent to which consumers are often manipulated by smart tech powered by AI. We discuss the theoretical and policy implications of our findings by looking at the contextual factors.

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Section: Resultssupporting

confidence: 61%

Section: Risk To the Individualmentioning

confidence: 98%

Understanding user interactions and perceptions of AI risk in Singapore

Neyazi,

Ng,

Hobbs

et al. 2023

Big Data & Society

View full text Add to dashboard Cite

show abstract

“…The results of conducted studies [38][39][40] have revealed that the affective dimension has the greatest influence and highlights the importance of the sensory experience, which goes beyond even the cognitive experience [41].…”

Section: Literature Reviewmentioning

confidence: 99%

Scenarios to Improve E-Commerce SMEs Activity Based on Their Classification: A Case Study on Romania

et al. 2023

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With the onset of the COVID-19 pandemic, society has increasingly relied on alternative ways to procure goods, leading to an e-commerce boom. This study analyzes the performance of small and medium-sized enterprises (SMEs) that are active in e-commerce in Romania and provides recommendations for entrepreneurs to improve their efficiency. Through unsupervised learning techniques, three classes are identified according to company performance: (1) a class of high-performing companies whose entrepreneurs took the risk of investing in the business, (2) a class of medium-performing companies that maintained their position in the market and (3) a class of financially weak companies whose managers adopted risk-averse, defensive policies. Furthermore, we present scenarios for moving companies from a lower-performing class to a higher-performing class. The research identifies the strategies that managers need to adopt in order to stimulate the activity of e-commerce companies, provides foreign investors a rubric for making investment decisions, and offers a starting point for an entrepreneurship course in academia.

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“…Artificial intelligence can also recognize sounds on the field, make competitive sports more fair, and also have a huge improvement on some unpredictable things on the field [13][14]. The ability of artificial intelligence to process images will also be a powerful assistant for news editors of competitive sports events, quickly interpreting picture information and conducting online publicity [15][16]. In terms of the dissemination of competitive sports activities, artificial intelligence can provide many more help for Tencent Sports Live Broadcasting Platform, such as realizing the automatic writing of the game situation throughout the whole process, which can reduce the pressure on editors and accelerate the dissemination of competitive sports activities.…”

Section: Artificial Intelligence and Competitive Sportsmentioning

confidence: 99%

Competitive sports activities based on artificial intelligence technology

Ye¹

2022

International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022)

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In the field of artificial intelligence, the number of sports information sources on Internet platforms is increasing. The purpose of this paper is to study artificial intelligence technology and competitive sports. Firstly, the characteristics of the current sports event Internet data are studied and the corresponding collection framework and collection method are determined, so as to provide a basis for the selection of the recommendation model algorithm. Taking the problem-oriented marathon event in this paper as an example, it discusses the characteristics of its network information, and realizes the collection and analysis of its network data, This provides guidance and data support for building a suitable sports activity planning model. The experimental results show that the sports event recognition algorithm based on the LDA topic model is easy to achieve the best effect on a large amount of event text data, the system is clear, and the features are customized. The overall event reliability of the comprehensive security model based on LDA keyword model and Word2vec sequence is higher than 90%.

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Consumers Perception of Risk Towards Artificial Intelligence Technologies Used in Trade: A Scale Development Study

Cited by 8 publications

References 5 publications

Understanding user interactions and perceptions of AI risk in Singapore

Understanding user interactions and perceptions of AI risk in Singapore

Scenarios to Improve E-Commerce SMEs Activity Based on Their Classification: A Case Study on Romania

Competitive sports activities based on artificial intelligence technology

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Consumers Perception of Risk Towards Artificial Intelligence Technologies Used in Trade: A Scale Development Study

Cited by 8 publications

References 5 publications

Understanding user interactions and perceptions of AI risk in Singapore

Understanding user interactions and perceptions of AI risk in Singapore

Scenarios to Improve E-Commerce SMEs Activity Based on Their Classification: A Case Study on Romania

Competitive sports activities based on artificial intelligence technology

Contact Info

Product

Resources

About

Consumers Perception of Risk Towards Artificial Intelligence Technologies Used in Trade: A Scale Development Study