People devalue generative AI’s competence but not its advice in addressing societal and personal challenges

Böhm, Robert; Jörling, Moritz; Reiter, Leonhard; Fuchs, Christoph

doi:10.31234/osf.io/swfn6

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…In line with these findings, algorithm aversion describes the consumers' preference for a human when a task is subjective by nature [31] or concerned with moral decisions because machines are thought to lack a mind and emotions [32]. AI has also been perceived as less competent in giving advice for addressing societal challenges [33]. Applied to AI authorship, Tandoc, Yao, and Wu [23] found a decrease in source and message credibility when the AI was perceived to write non-objectively.…”

Section: Algorithm Aversionmentioning

confidence: 91%

Understanding and Perception of Automated Text Generation among the Public: Two Surveys with Representative Samples in Germany

Lermann Henestrosa,

Kimmerle

2024

Behavioral Sciences

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Automated text generation (ATG) technology has evolved rapidly in the last several years, enabling the spread of content produced by artificial intelligence (AI). In addition, with the release of ChatGPT, virtually everyone can now create naturally sounding text on any topic. To optimize future use and understand how humans interact with these technologies, it is essential to capture people’s attitudes and beliefs. However, research on ATG perception is lacking. Based on two representative surveys (March 2022: n1 = 1028; July 2023: n2 = 1013), we aimed to examine the German population’s concepts of and attitudes toward AI authorship. The results revealed a preference for human authorship across a wide range of topics and a lack of knowledge concerning the function, data sources, and responsibilities of ATG. Using multiple regression analysis with k-fold cross-validation, we identified people’s attitude toward using ATG, performance expectancy, general attitudes toward AI, and lay attitude toward ChatGPT and ATG as significant predictors of the intention to read AI-written texts in the future. Despite the release of ChatGPT, we observed stability across most variables and minor differences between the two survey points regarding concepts about ATG. We discuss the findings against the backdrop of the ever-increasing availability of automated content and the need for an intensive societal debate about its chances and limitations.

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Section: Algorithm Aversionmentioning

confidence: 91%

Understanding and Perception of Automated Text Generation among the Public: Two Surveys with Representative Samples in Germany

Lermann Henestrosa,

Kimmerle

2024

Behavioral Sciences

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Understanding model power in social AI

Brandtzaeg,

Skjuve,

Følstad

2024

AI & Soc

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Given the widespread integration of Social AI like ChatGPT, Gemini, Copilot, and MyAI, in personal and professional contexts, it is crucial to understand their effects on information and knowledge processing, and individual autonomy. This paper builds on Bråten’s concept of model power, applying it to Social AI to offer a new perspective on the interaction dynamics between humans and AI. By reviewing recent user studies, we examine whether and how models of the world reflected in Social AI may disproportionately impact human-AI interactions, potentially leading to model monopolies where Social AI impacts human beliefs, behaviour and homogenize the worldviews of its users. The concept of model power provides a framework for critically evaluating the impact and influence that Social AI has on communication and meaning-making, thereby informing the development of future systems to support more balanced and meaningful human-AI interactions.

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Understanding and Perception of Automated Text Generation among the Public: Two Surveys with Representative Samples in Germany

Henestrosa,

Kimmerle

2023

Preprint

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The application of automated text generation (ATG) technology has evolved rapidly in the last several years, leading to more available content being produced by artificial intelligence (AI). With the release of ChatGPT in November 2022, a tool is now at hand that allows virtually everyone to create naturally sounding text on any topic. However, research on public beliefs about and attitudes toward ATG is lacking. Two surveys with representative samples (n1 = 1,028, n2 = 1,013) examined the German population’s concepts of and attitudes toward AI authorship in 2022 and 2023. The results revealed a preference for human authorship across a wide range of topics and a lack of knowledge concerning the function, data sources, and responsibilities of ATG. Using multiple regression analysis with k-fold cross-validation, we identified several significant predictors of the intention to read AI-written texts in the future. Despite the release of ChatGPT, we observed stability across most variables and minor differences between the two survey points regarding concepts about ATG. We discuss the findings against the backdrop of the ever-increasing availability of automated content and the need for an intensive societal debate about the chances and limitations of this technology.

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People devalue generative AI’s competence but not its advice in addressing societal and personal challenges

Cited by 3 publications

References 18 publications

Understanding and Perception of Automated Text Generation among the Public: Two Surveys with Representative Samples in Germany

Understanding and Perception of Automated Text Generation among the Public: Two Surveys with Representative Samples in Germany

Understanding model power in social AI

Understanding and Perception of Automated Text Generation among the Public: Two Surveys with Representative Samples in Germany

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