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1 |
An experimental study of public trust in AI chatbots in the public sector
یک مطالعه تجربی در مورد اعتماد عمومی به chatbots هوش مصنوعی در بخش دولتی-2020 This study investigates the publics initial trust in so-called “artificial intelligence” (AI) chatbots about to be
introduced into use in the public sector. While the societal impacts of AI are widely speculated about, empirical
testing remains rare. To narrow this gap, this study builds on theories of operators trust in machines in industrial
settings and proposes that initial public trust in chatbot responses depends on (i) the area of enquiry, since
expectations about a chatbots performance vary with the topic, and (ii) the purposes that governments communicate
to the public for introducing the use of chatbots. Analyses based on an experimental online survey in
Japan generated results indicating that, if a government were to announce its intention to use “AI” chatbots to
answer public enquiries, the publics initial trust in their responses would be lower in the area of parental support
than in the area of waste separation, with a moderate effect size. Communicating purposes that would directly
benefit citizens, such as achieving uniformity in response quality and timeliness in responding, would enhance
public trust in chatbots. Although the effect sizes are small, communicating these purposes might be still
worthwhile, as it would be an inexpensive measure for a government to take. Keywords: Artificial intelligence | Chatbot | Public trust | Human-machine relationship | Public service | Street-level bureaucracy | Administrative discretion |
مقاله انگلیسی |
2 |
Investigating American and Chinese Subjects’ explicit and implicit perceptions of AI-Generated artistic work
بررسی ادراکات صریح و ضمنی سوژه های آمریکایی و چینی از کارهای هنری تولید شده توسط هوش مصنوعی-2020 As the prevalence of AI-generated content increases, examining viewers’ perceptions of the content is crucial to
understanding the human-machine relationship and further facilitating efficient human-machine collaboration.
Prior literature has accumulated mixed findings regarding subjects’ attitudes toward and perceptions of news and
tweets written by natural language generation (NLG) algorithms. To resolve this inconsistency and expand our
understanding beyond NLG, this study investigated the explicit and implicit perceptions of AI-generated poetry
and painting held by subjects from two societies. An experimental survey was conducted to examine the subjects’
explicit and implicit perceptions of AI-generated content in the U.S. and China. As the U.S. and China fiercely
compete to lead the development of AI technology, their citizens exhibit divergent attitudes toward AI’s performance
in artistic work. The U.S. subjects were more critical of the AI- than the human-generated content, both
explicitly and implicitly. Although the Chinese subjects were overtly positive about the AI-generated content,
they appreciated less this content than the human-authored content. The findings enrich our understanding in
the domain of AI generation. Theoretical and practical implications are discussed. Keywords: Artificial intelligence | AI-Generated artistic work | Explicit perception | Implicit perception | Experimental survey |
مقاله انگلیسی |