The AI Ghostwriter Effect: Users Do Not Perceive Ownership of AI-Generated Text But Self-Declare as Authors

Draxler, Fiona; Werner, Anna; Lehmann, Florian; Hoppe, Matthias; Schmidt, Albrecht; Buschek, Daniel; Welsch, Robin

doi:10.48550/arxiv.2303.03283

Cited by 5 publications

(6 citation statements)

References 96 publications

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“…Researchers also studied how specific designs of LLM, such as the number of suggestions [13] or allowing users to input instructional prompts or not [25] can impact writing. Moreover, the researchers investigated the sense of ownership of writings with AI suggestions [28]. However, AI suggestions were not the only approach to support human writing.…”

Section: Usingmentioning

confidence: 99%

Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts

Kim,

Han,

Adar

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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Generative AI has the potential to create a new form of interactive media: AI-bridged creative language arts (CLA), which bridge the author and audience by personalizing the author's vision to the audience's context and taste at scale. However, it is unclear what the authors' values and attitudes would be regarding AI-bridged CLA.To identify these values and attitudes, we conducted an interview study with 18 authors across eight genres (e.g., poetry, comics) by presenting speculative but realistic AI-bridged CLA scenarios. We identified three benefits derived from the dynamics between author, artifact, and audience: those that 1) authors get from the process, 2) audiences get from the artifact, and 3) authors get from the audience. We found how AI-bridged CLA would either promote or reduce these benefits, along with authors' concerns. We hope our investigation hints at how AI can provide intriguing experiences to CLA audiences while promoting authors' values. CCS CONCEPTS• Human-centered computing → Empirical studies in HCI.

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Section: Usingmentioning

confidence: 99%

Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts

Kim,

Han,

Adar

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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“…Finally, we inquired about the frequency of AI use that our participants perform in their workplace, using a 4-item scale, adapted from Draxler et al (2023), e.g., "I use Artificial Intelligence to find new perspectives to resolve conflict in the workplace" with their answers spanning between 1 = very rarely/almost never to 7 = very often. Cronbach's α = 0.97.…”

Section: Actual Use Of Ai In the Workplacementioning

confidence: 99%

Competitive organizational climate and artificial intelligence (AI) acceptance: the moderating role of leaders’ power construal

Fousiani,

Michelakis,

Minnigh

et al. 2024

Front. Psychol.

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IntroductionThe incorporation of Artificial Intelligence (AI) in organizations is pivotal to deal with work-related tasks and challenges effectively, yet little is known about the organizational factors that influence AI acceptance (i.e., employee favorable AI attitudes and AI use). To address this limitation in the literature and provide insight into the organizational antecedents influencing AI acceptance, this research investigated the relationship between competitive organizational climate and AI acceptance among employees. Moreover, given the critical role of a leader in employee attitude and behavior, we examined the moderating role of leaders’ power construal as responsibility or as opportunity in this relationship.MethodsStudy 1 was a three-wave field study among employees (N = 237, Mage = 38.28) working in various organizations in the UK. The study measured employees’ perception of a competitive organizational climate at Time 1, leaders’ power construal (as perceived by employees) at Time 2, and employee attitudes towards AI and their actual use of AI in the workplace at Times 2 and 3. Study 2 was a 2 (climate: highly competitive vs. low competitive) by 2 (power construal: responsibility vs. opportunity) experiment among employee participants (N = 150, Mage = 37.50).ResultsStudy 1 demonstrated a positive relationship between competitive climate and employee AI use over time. Furthermore, both studies revealed an interaction between competitive climate and leader’s power construal in the prediction of employee AI acceptance: In Study 1, competitive climate was negatively related to AI acceptance over time when leaders construed power as opportunity. In Study 2 competitive climate was positively related to AI acceptance when leaders construed power as responsibility rather than as opportunity.DiscussionThese results underscore the organizational factors that are required in order for employees to shape favorable attitudes towards AI and actually use AI at work. Importantly, this research expands the limited body of literature on AI integration in organizations.

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“…In [4], the authors examined how human writers work together with ML models in fantasy writing, by prototyping a human-AI collaborative writing software that enables human authors to condense, edit, summarize, and revive AI-generated text, then used "finish each other's story" strategy to explore the dynamics of human-AI collaboration. In [5], the authorship and ownership of human-AI writers are studied for the personalized LLMs. They demonstrated AI ghostwriter influence, in which the users did not regard themselves as the authors or owners of AIgenerated text but desisted from openly proclaiming AI authorship.…”

Section: Literaturementioning

confidence: 99%

“…Without any training, it can write functional code, create charts and webpages from textual descriptions, and make sophisticated literary works. In light of its spectacular responses, ChatGPT has proven itself to be a formidable rival to the industry standard search engine [5].…”

Section: Introductionmentioning

confidence: 99%

A Critical Evaluation of ChatGPT's Adherence to Responsible Artificial Intelligence Principles

Lababidi

2024

Information Sci. Appl.

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The swift evolution of ChatGPT maintains revealing great promise in different fields of life while occasionally with ethically questionable impacts. While the current research effort has focused on the benefits that can be gained from ChatGPT, increasing concerns have been raised about the ethical implications that could result from its widespread use. To this end, this study presents an in-depth investigation of the ethical aspects of ChatGPT from the perspective of responsible AI. In particular, a novel theoretical framework is introduced to practically analyze and interpret the ChatGPT from an ethical side lens. Our framework is based on the concept of responsible AI, to focus on the variety of scenarios in which ChatGPT can possibly lead to unintentional consequences, and to advocate alternate paths that the researcher and practitioners can follow to expand their knowledge regarding the mitigation of such incidences. This work expands the theorization of the ethical side to disclose unknown ideas of existing literature and to suggest other leading premises that may guide future development and use of ChatGPT and alike language models.

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The AI Ghostwriter Effect: Users Do Not Perceive Ownership of AI-Generated Text But Self-Declare as Authors

Cited by 5 publications

References 96 publications

Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts

Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts

Competitive organizational climate and artificial intelligence (AI) acceptance: the moderating role of leaders’ power construal

A Critical Evaluation of ChatGPT's Adherence to Responsible Artificial Intelligence Principles

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