Künstliche Intelligenz am Arbeitsplatz

Giering, Oliver; Kirchner, Stefan

doi:10.5771/0038-6073-2021-4-551

Cited by 5 publications

(3 citation statements)

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“…Though we cannot retrospectively measure participants' actual experience with ATG, the evidence still reflects a remarkable lack of awareness about the presence of ATG. Similar to these findings, a German survey by DIW Berlin revealed that in many cases, people are not aware that AI is already present in their work contexts: when indirectly asked about AI at their work, almost double the number of respondents indicated working with AI than when they were directly asked [46] . It should be taken into consideration that the criteria for what counts as AI are shifting as development continues.…”

Section: Discussionsupporting

confidence: 57%

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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Section: Discussionsupporting

confidence: 57%

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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“…Automatically produced content has been present in automated journalism for over a decade (unknown to a majority, as the knowledge test indicated), and automatic product descriptions in online shops are also not new phenomena. Similarly, a German survey by DIW Berlin revealed that many people are unaware of AI in their work contexts: when indirectly asked about AI at work, nearly twice as many respondents indicated working with AI compared to when they were directly asked [51]. It is important to consider that the criteria for what constituted AI are also shifting.…”

Section: Public Awareness Of Atgmentioning

confidence: 99%

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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“…Third, regardless of the quality of participants' mental models of AI, it is often extremely difficult to identify whether AI is built into the systems, tools, or machines used and to distinguish AI from digitization in general (e.g., Giering et al 2021, for a German perspective). Providing definitions that create a common understanding of AI is certainly helpful.…”

Section: Ai Ai-driven Automation and Challenges Of Empirical Assessmentmentioning

confidence: 99%

Psychological Implications of AI-driven Automation for Employees – Insights from Healthcare and Financial Services in Germany

Sureth,

Nachtwei

2024

Preprint

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Advances in artificial intelligence (AI) are shaking up the world of work. The capabilities of AI are becoming more and more sophisticated and AI systems are increasingly capable of performing not only routine but also non-routine and cognitive tasks autonomously. This triggered the widespread adoption of AI to automate an increasing number of job tasks. Subsequently, jobs are changing, both in quantity and quality. While the debate on the impact of AI and automation on employment has intensified, little attention has been paid to the subjective experience of employees and the psychological implications of AI-induced changes in the workplace. Thus, we examined the psychological implications of AI-driven automation with an explicit focus on employees’ experience and behaviour. To do so, we investigated the application fields of AI, the resulting changes in job tasks, and the associated psychological implications in two exemplary sectors, i.e., healthcare and financial services. Using an exploratory approach, we conducted five interview studies with a total of 91 German experts and employees, examining three occupational groups, including physicians, psychotherapists, and bank clerks. Using qualitative content analyses, we compiled comprehensive and detailed data that provide insights into the psychological implications of AI-induced changes of job tasks in the two investigated sectors. Our results serve as a starting point for further research in this area and highlight the importance of taking a human-centric approach.

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Künstliche Intelligenz am Arbeitsplatz

Cited by 5 publications

References 0 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 and Perception of Automated Text Generation among the Public: Two Surveys with Representative Samples in Germany

Psychological Implications of AI-driven Automation for Employees – Insights from Healthcare and Financial Services in Germany

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