Tag: Artificial intelligence

Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence

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Author: Cheng, Myra; Lee, Cinoo; Khadpe, Pranav; Yu, Sunny; Han, Dyllan; Jurafsky, Dan Description: Both the general public and academic communities have raised concerns about sycophancy, the phenomenon of artificial intelligence (AI) excessively agreeing with or flattering users. Yet, beyond isolated media reports of severe consequences, like reinforcing delusions, little is known about the extent of sycophancy or how it affects people who use AI. Here we show the pervasiveness and harmful impacts of sycophancy when people seek advice from AI. First, across 11 state-of-the-art AI models, we find that…

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Validity in Design Science

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Author: Larsen, K.; Lukyanenko, R.; Mueller, Roland M.; Storey, V.; Parsons, J.; Vandermeer, D.; Hovorka, D. Description: Researchers must ensure that the claims about the knowledge produced by their work are valid. However, validity is neither well-understood nor consistently established in design science, which involves the development and evaluation of artifacts (models, methods, instantiations, and theories) to solve problems. As a result, it is challenging to demonstrate and communicate the validity of knowledge claims about artifacts. This paper defines validity in design science and derives the Design Science Validity Framework…

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Who Says Artificial Intelligence Is Stealing Our Jobs?

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Author: Dahlin, Eric Description: The author investigates survey respondents’ reports of job displacement due to artificial intelligence (AI) and concerns about AI-related job displacement. Accordingly, the author examines explanations of AI exceptionalism–the view that AI technology is unique and will have different job-related outcomes compared with previous technological advances–and the vulnerability of underprivileged groups. The findings support the AI exceptionalism view, indicating that white-collar occupations and those with technical experience are more likely to be at risk. The study also reveals that concerns about job loss are widespread, but those…

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Beware of Metacognitive Laziness: Effects of Generative Artificial Intelligence on Learning Motivation, Processes, and Performance

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Author: Fan, Y., Tang, L., Le, H., Shen, K., Tan, S., Zhao, Y., Shen, Y., Li, X., & Gasevic, D. Description: With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of support from agents such as teachers, peers, education technologies, and recently, generative artificial intelligence such as ChatGPT. The concept of hybrid intelligence is still at a nascent stage, and how learners can benefit from a symbiotic relationship with various agents such as AI, human experts and intelligent learning systems is still unknown. The…

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How does generative artificial intelligence impact student creativity?

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Author: Habib, S., Vogel, T., Anli, X., & Thorne, E. Description: This study aimed to learn about the impact of generative artificial intelligence (AI) on student creative thinking skills and subsequently provide instructors with information on how to guide the use of AI for creative growth within classroom instruction. This mixed methods study used qualitative and quantitative data collected through an AUT test conducted in a college-level creativity course. The authors measured flexibility, fluency, elaboration, and originality of the data to assess the impact of ChatGPT-3 on students’ divergent thinking….

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Do AI chatbots improve students learning outcomes? Evidence from a meta-analysis

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Author: Wu, R., & Yu, Z. Description: Artificial intelligence (AI) chatbots are gaining increasing popularity in education. Due to their increasing popularity, many empirical studies have been devoted to exploring the effects of AI chatbots on students’ learning outcomes. The proliferation of experimental studies has highlighted the need to summarize and synthesize the inconsistent findings about the effects of AI chatbots on students’ learning outcomes. However, few reviews focused on the meta-analysis of the effects of AI chatbots on students’ learning outcomes. The present study performed a meta-analysis of 24…

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Countering AI-generated misinformation with pre-emptive source discreditation and debunking

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Author: Spearing, Emily R.; Gile, Constantina I.; Fogwill, Amy L.; Prike, Toby; Swire-Thompson, Briony; Lewandowsky, Stephan; Ecker, Ullrich K. H. Description: Despite widespread concerns over AI-generated misinformation, its impact on people’s reasoning and the effectiveness of countermeasures remain unclear. This study examined whether a pre-emptive, source-focused inoculation–designed to lower trust in AI-generated information–could reduce its influence on reasoning. This approach was compared with a retroactive, content-focused debunking, as well as a simple disclaimer that AI-generated information may be misleading, as often seen on real-world platforms. Additionally, the extent to which…

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Halt the use of facial-recognition technology until it is regulated

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Author: Crawford, Kate Description: Until appropriate safeguards are in place, we need a moratorium on biometric technology that identifies individuals. Subject headings: Facial recognition; Biometric technology; Privacy; Ethics; Artificial intelligence; AI Publication year: 2019 Journal or book title: Nature Volume: 572 Issue: 7771 Pages: 565 Find the full text: https://www.nature.com/articles/d41586-019-02514-7 Find more like this one (cited by): https://scholar.google.com/scholar?cites=5918763303809055830&as_sdt=1000005&sciodt=0,16&hl=en Serial number: 4051

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The ethical application of biometric facial recognition technology

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Author: Smith, Marcus; Miller, Seumas Description: Biometric facial recognition is an artificial intelligence technology involving the automated comparison of facial features, used by law enforcement to identify unknown suspects from photographs and closed circuit television. Its capability is expanding rapidly in association with artificial intelligence and has great potential to solve crime. However, it also carries significant privacy and other ethical implications that require law and regulation. This article examines the rise of biometric facial recognition, current applications and legal developments, and conducts an ethical analysis of the issues that…

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Facial Recognition Technology: Current Capabilities, Future Prospects, and Governance

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Author: National Academies of Sciences, Engineering, and Medicine Description: Facial recognition technology is increasingly used for identity verification and identification, from aiding law enforcement investigations to identifying potential security threats at large venues. However, advances in this technology have outpaced laws and regulations, raising significant concerns related to equity, privacy, and civil liberties. This report explores the current capabilities, future possibilities, and necessary governance for facial recognition technology. Facial Recognition Technology discusses legal, societal, and ethical implications of the technology, and recommends ways that federal agencies and others developing and…

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