The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review

Smart Learning Environments, Journal Year: 2024, Volume and Issue: 11(1)

Published: June 18, 2024

Abstract The growing integration of artificial intelligence (AI) dialogue systems within educational and research settings highlights the importance learning aids. Despite examination ethical concerns associated with these technologies, there is a noticeable gap in investigations on how issues AI contribute to students’ over-reliance systems, such affects cognitive abilities. Overreliance occurs when users accept AI-generated recommendations without question, leading errors task performance context decision-making. This typically arises individuals struggle assess reliability or much trust place its suggestions. systematic review investigates particularly those embedded generative models for academic learning, their critical capabilities including decision-making, thinking, analytical reasoning. By using Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines, our evaluated body literature addressing contributing factors effects contexts. comprehensive spanned 14 articles retrieved from four distinguished databases: ProQuest, IEEE Xplore, ScienceDirect, Web Science. Our findings indicate that stemming impacts abilities, as increasingly favor fast optimal solutions over slow ones constrained by practicality. tendency explains why prefer efficient shortcuts, heuristics, even amidst presented technologies.

Language: Английский

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May ChatGPT be a tool producing medical information for common inflammatory bowel disease patients’ questions? An evidence-controlled analysis

World Journal of Gastroenterology, Journal Year: 2024, Volume and Issue: 30(1), P. 17 - 33

Published: Jan. 6, 2024

Artificial intelligence is increasingly entering everyday healthcare. Large language model (LLM) systems such as Chat Generative Pre-trained Transformer (ChatGPT) have become potentially accessible to everyone, including patients with inflammatory bowel diseases (IBD). However, significant ethical issues and pitfalls exist in innovative LLM tools. The hype generated by may lead unweighted patient trust these systems. Therefore, it necessary understand whether LLMs (trendy ones, ChatGPT) can produce plausible medical information (MI) for patients. This review examined ChatGPT's potential provide MI regarding questions commonly addressed IBD their gastroenterologists. From the of outputs provided ChatGPT, this tool showed some attractive while having limitations updating detailing providing inaccurate cases. Further studies refinement possibly aligning leading evidence reliable databases, are needed.

Language: Английский

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Foundations of Large Language Models in Software Vulnerability Detection

Advances in information security, privacy, and ethics book series, Journal Year: 2024, Volume and Issue: unknown, P. 41 - 74

Published: Oct. 18, 2024

This chapter explores the foundational aspects of large language models (LLMs) and their application in detecting software vulnerabilities. As complexity systems grows, traditional methods vulnerability detection are often insufficient. LLMs, with advanced natural processing capabilities, provide a novel approach to identifying potential security threats codebases. The delves into architecture these models, training mechanisms, challenges they face domain cybersecurity. Additionally, it discusses ethical implications future directions for integrating LLMs automated detection.

Language: Английский

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A State-of-the-Art Review in Big Data Management Engineering: Real-Life Case Studies, Challenges, and Future Research Directions

Eng—Advances in Engineering, Journal Year: 2024, Volume and Issue: 5(3), P. 1266 - 1297

Published: July 3, 2024

The explosion of data volume in the digital age has completely changed corporate and industrial environments. In-depth analysis large datasets to support strategic decision-making innovation is main focus this paper’s exploration big management engineering. A thorough examination basic elements approaches necessary for efficient use—data collecting, storage, processing, analysis, visualization—is given paper. With real-life case studies from several sectors complement our cutting-edge methods management, we present useful applications results. This document lists difficulties handling data, such as guaranteeing scalability, governance, quality. It also describes possible future study paths deal with these issues promote ongoing creativity. results stress need combine technology industry standards improve based on data. Through an machine learning, real-time predictive analytics, paper offers insightful information companies hoping use a advantage. Lastly, presents cases different discusses trends utilization by emerging technologies.

Language: Английский

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Exploring Engagement, Self-Efficacy, and Anxiety in Large Language Model EFL Learning: A Latent Profile Analysis of Chinese University Students

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 10

Published: Sept. 10, 2024

Language: Английский

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Harnessing the Power of Large Language Models for Cybersecurity

Advances in information security, privacy, and ethics book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 40

Published: Oct. 18, 2024

The LLMs not only have changed the overall nature of NPL but also helped a lot in setting standards cyber security. Within confines this review, authors discuss benefits, progressions, difficulties, as well future paths aimed to be taken cybersecurity field LLMs. They delve into how help companies process unstructured textual data for text dangers detections, vulnerability assessments, and incident responses. In addition, they investigate ethical societal consequences using cybersecurity, facing challenges like algorithmic bias, privacy, safety. Besides that, find that critical research questions crossroads language include unique assessing techniques improvement algorithms clarify information. Through development many-faceted interdisciplinary cooperation ethics-based considerations, we can maximize opportunities present world build more resilient secure environment everyone.

Language: Английский

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Unveiling the Dark Side of ChatGPT: Exploring Cyberattacks and Enhancing User Awareness

Information, Journal Year: 2024, Volume and Issue: 15(1), P. 27 - 27

Published: Jan. 2, 2024

The Chat Generative Pre-training Transformer (GPT), also known as ChatGPT, is a powerful generative AI model that can simulate human-like dialogues across variety of domains. However, this popularity has attracted the attention malicious actors who exploit ChatGPT to launch cyberattacks. This paper examines tactics adversaries use leverage in Attackers pose regular users and manipulate ChatGPT’s vulnerability interactions, particularly context cyber assault. presents illustrative examples cyberattacks are possible with discusses realm ChatGPT-fueled cybersecurity threats. investigates extent user awareness relationship between A survey 253 participants was conducted, their responses were measured on three-point Likert scale. results provide comprehensive understanding how be used improve business processes identify areas for improvement. Over 80% agreed criminals purposes. finding underscores importance improving security novel model. Organizations must take steps protect computational infrastructure. analysis highlights opportunities streamlining processes, service quality, increasing efficiency. Finally, provides recommendations using secure manner, outlining ways mitigate potential strengthen defenses against adversaries.

Language: Английский

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Considerations for adapting higher education technology courses for AI large language models: A critical review of the impact of ChatGPT

Machine Learning with Applications, Journal Year: 2023, Volume and Issue: 15, P. 100513 - 100513

Published: Nov. 25, 2023

Following the very recent launch of ChatGPT chatbot, numerous comments and speculations were posted concerning potential aspects society that are expected to benefit from this AI revolution. In particular, education sector is considered as one primary domains affected by application, impact which remains yet be fully understood. Furthermore, many Higher Education institutions required get terms with its on teaching learning, clarify their stances use software. This study was developed investigate some critical case studies relevant inevitable re-evaluation educational needed, ranging academic missions student course learning outcomes ethical uses. a review pros cons in higher sector, paper shall demonstrate several early trials assessments related various specializations. Next, ability well-known detector software analyzed capacity successfully detect AI-generated content. Analysis made foreseen important including challenges benefits well integrity use. The concludes set recommendations our findings benchmarks obtained top universities order assist faculty members decision makers at response strategy ChatGPT.

Language: Английский

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Ethical Considerations in Human-Centered AI: Advancing Oncology Chatbots through Large Language Models (Preprint)

JMIR Bioinformatics and Biotechnology, Journal Year: 2024, Volume and Issue: 5, P. e64406 - e64406

Published: Sept. 25, 2024

The integration of chatbots in oncology underscores the pressing need for human-centered artificial intelligence (AI) that addresses patient and family concerns with empathy precision. Human-centered AI emphasizes ethical principles, empathy, user-centric approaches, ensuring technology aligns human values needs. This review critically examines implications using large language models (LLMs) like GPT-3 GPT-4 (OpenAI) chatbots. It how these replicate human-like patterns, impacting design systems. paper identifies key strategies ethically developing chatbots, focusing on potential biases arising from extensive datasets neural networks. Specific datasets, such as those sourced predominantly Western medical literature interactions, may introduce by overrepresenting certain demographic groups. Moreover, training methodologies LLMs, including fine-tuning processes, can exacerbate biases, leading to outputs disproportionately favor affluent or populations while neglecting marginalized communities. By providing examples biased highlights challenges LLMs present mitigation strategies. study integrating human-centric into mitigate ultimately advocating development are aligned principles capable serving diverse equitably.

Language: Английский

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The Impact of Different Conversational Generative AI Chatbots on EFL Learners: an Analysis of Willingness to Communicate, Foreign Language Speaking Anxiety, and Self-perceived Communicative Competence

System, Journal Year: 2024, Volume and Issue: unknown, P. 103533 - 103533

Published: Oct. 1, 2024

Language: Английский

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