Search Results for: artificial intelligence

Artificial Intelligence, Trust, and Perceptions of Agency

Featured Database

Author: Vanneste, Bart S.; Puranam, Phanish Description: Modern artificial intelligence (AI) technologies based on deep learning architectures are often perceived as agentic to varying degrees–typically, as more agentic than other technologies but less agentic than humans. We theorize how different levels of perceived agency of AI affect human trust in AI. We do so by investigating three causal pathways. First, an AI (and its designer) perceived as more agentic will be seen as more capable, and therefore will be perceived as more trustworthy. Second, the more the AI is perceived…

See more and a link to full text

The impact of digital technology, social media, and artificial intelligence on cognitive functions: a review

Featured Database

Author: Shanmugasundaram, Mathura; Tamilarasu, Arunkumar Description: In our modern society, digital devices, social media platforms, and artificial intelligence (AI) tools have become integral components of our daily lives, profoundly intertwined with our daily activities. These technologies have undoubtedly brought convenience, connectivity, and speed, making our lives easier and more efficient. However, their influence on our brain function and cognitive abilities cannot be ignored. This review aims to explore both the positive and negative impacts of these technologies on crucial cognitive functions, including attention, memory, addiction, novelty-seeking and perception, decision-making, and…

See more and a link to full text

Who Says Artificial Intelligence Is Stealing Our Jobs?

Featured Database

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…

See more and a link to full text

How does generative artificial intelligence impact student creativity?

Featured Database

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….

See more and a link to full text

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

Featured Database

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…

See more and a link to full text

Reconfigurable heterogeneous integration using stackable chips with embedded artificial intelligence

Student Database

Author: Choi, Chanyeol; Kim, Hyunseok; Kang, Ji-Hoon; Song, Min-Kyu; Yeon, Hanwool; Chang, Celesta S.; Suh, Jun Min; Shin, Jiho; Lu, Kuangye; Park, Bo-In; Kim, Yeongin; Lee, Han Eol; Lee, Doyoon; Lee, Jaeyong; Jang, Ikbeom; Pang, Subeen; Ryu, Kanghyun; Bae, Sang-Hoon; Nie, Yifan; Kum, Hyun S.; Park, Min-Chul; Lee, Suyoun; Kim, Hyung-Jun; Wu, Huaqiang; Lin, Peng; Kim, Jeehwan Description: Artificial intelligence applications have changed the landscape of computer design, driving a search for hardware architecture that can efficiently process large amounts of data. Three-dimensional heterogeneous integration with advanced packaging technologies could…

See more and a link to full text

Emotions in human and artificial intelligence

Student Database

Author: Martinez-Miranda, J.; Aldea, A. Description: Intelligence and emotions differentiate humans from animals. Emotion is part of a persons behaviour and certain feelings can affect his/her performance, emotions can even prevent a person from producing an intelligent outcome. Therefore, when a computer aims to emulate human behaviour, not only should this computer think and reason, but it should also be able to show emotions. This paper presents a review of recent research that shows the importance of the emotions in human intelligence. This paper also presents the research that has…

See more and a link to full text

Review of progress in Artificial General Intelligence and Human Brain inspired Cognitive Architecture

Student Database

Author: Nyalapelli, Varun Kumar; Gandhi, Manthan; Bhargava, Shamit; Dhanare, Ritesh; Bothe, Santosh Description: General Intelligence has been the broader and realistic goal of Artificial Intelligence (AI). The progress in general AI has been unimpressive in comparison with the Narrow AI systems. This paper aims to review a Human Brain inspired Cognitive Architecture and present the aspects of the architecture. The critical aspects of the architecture such as Storage, Processing, Sensory have been discussed in the paper and it would boost the understanding of our Human brain and how Cognition takes…

See more and a link to full text

Language models cannot reliably distinguish belief from knowledge and fact

Featured Database

Author: Suzgun, Mirac; Gur, Tayfun; Bianchi, Federico; Ho, Daniel E.; Icard, Thomas; Jurafsky, Dan; Zou, James Description: As language models (LMs) increasingly infiltrate into high-stakes domains such as law, medicine, journalism and science, their ability to distinguish belief from knowledge, and fact from fiction, becomes imperative. Failure to make such distinctions can mislead diagnoses, distort judicial judgments and amplify misinformation. Here we evaluate 24 cutting-edge LMs using a new KaBLE benchmark of 13,000 questions across 13 epistemic tasks. Our findings reveal crucial limitations. In particular, all models tested systematically fail…

See more and a link to full text

The Medium is the Message: How Non-Clinical Information Shapes Clinical Decisions in LLMs

Featured Database

Author: Gourabathina, Abinitha; Gerych, Walter; Pan, Eileen; Ghassemi, Marzyeh Description: The integration of large language models (LLMs) into clinical diagnostics necessitates a careful understanding of how clinically irrelevant aspects of user inputs directly influence generated treatment recommendations and, consequently, clinical outcomes for end-users. Building on prior research that examines the impact of demographic attributes on clinical LLM reasoning, this study explores how non-clinically relevant attributes shape clinical decision-making by LLMs. Through the perturbation of patient messages, we evaluate whether LLM behavior remains consistent, accurate, and unbiased when non-clinical information is…

See more and a link to full text
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.