Editorial: On the “Human” in Human-Artificial Intelligence Interaction

Triberti, Stefano; Durosini, Ilaria; Lin, Jianyi; Torre, Davide La; Galán, M. Ruiz

doi:10.3389/fpsyg.2021.808995

Cited by 9 publications

(2 citation statements)

References 26 publications

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“…Positive attitudes toward AI positively correlate with their acceptance of AI applications while negative attitudes toward AI negatively correlate to the rate of acceptance of AI applications [ 28 – 31 ]. Without a more detailed and nuanced understanding of human attitudes toward AI and their impact on behavioural responses toward texts produced by AI, as well as human barriers and motivations for AI acceptance, AI remains simply an invention that is in search of customers [ 32 ].…”

Section: Introductionmentioning

confidence: 99%

Value attributed to text-based archives generated by artificial intelligence

2023

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Openly available natural language generation (NLG) algorithms can generate human-like texts across domains. Given their potential, ethical challenges arise such as being used as a tool for misinformation. It is necessary to understand both how these texts are generated from an algorithmic point of view, and how they are evaluated by a general audience. In this study, our aim was to investigate how people react to texts generated algorithmically, whether they are indistinguishable from original/human-generated texts, and the value people assign these texts. Using original text-based archives, and text-based archives generated by artificial intelligence (AI), findings from our preregistered study ( N = 228) revealed that people were more likely to preserve original archives compared with AI-generated archives. Although participants were unable to accurately distinguish between AI-generated and original archives, participants assigned lower value to archives they categorized as AI-generated compared with those they categorized as original. People's judgements of value were also influenced by their attitudes toward AI. These findings provide a richer understanding of how the emergent practice of automated text creation alters the practices of readers and writers, and have implications for how readers' attitudes toward AI affect the use and value of AI-based applications and creations.

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Section: Introductionmentioning

confidence: 99%

Value attributed to text-based archives generated by artificial intelligence

2023

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“…(field of computer science exploring how computer systems can store and apply human mental behavior in different contexts(Camerer,2019).AI technologies are systems that reason and act like humans, a field of computer science that envisions a superhuman intellect. However, AI's goal is not to replicate humans, but to assist in professional duties(Triberti et al, 2021). Its strength lies in continuous improvement through automated learning processes and analyzing big data to optimize decisions based on business goals(Xu et al, 2018).AI simplifies tasks, saves time, and money, and boosts business efficiency(Bharadiya et al, 2023;Soni et al,2020).In recent years, AI-enabled device accessibility has grown, with the widespread adoption of smart home devices and intelligent robots like R1(Haenlein & Kaplan,2021; Dirican,2015) Stone et al,2020;Devang et al,2019;Kou et al,2018)…”

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confidence: 99%

Applying Artificial Intelligence to the Digital Marketing: Opportunities and Challenges for the Marketer

Mani

2024

IJBMR

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The present work aims to explore the role and factors that influence the interaction between marketing and artificial intelligence, the developing role of the marketer in the digital age, and the effects of artificial intelligence on the marketing process. Through a comprehensive marketing analysis, the research highlights the emerging power that Artificial Intelligence is exerting in all the marketing and production phases. The article is divided into three phases: the first phase focuses on the transition from traditional to digital marketing, emphasizing how new technologies had a significant impact on the commercial scene. The focus transitioned to the operational frame of AI into marketing operations, recognizing the latter’s ability to add value throughout the modern consumer’s conversion funnel. Following that, the inquiry yielded exciting ideas for possible future developments. Finally, the presentation provided a complete overview of the transition of marketing to digital and the function of artificial intelligence in this context.

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