Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots

Internet of Things and Cyber-Physical Systems, Год журнала: 2023, Номер 4, С. 19 - 23

Опубликована: Июнь 19, 2023

ChatGPT, an AI-based chatbot, was released to provide coherent and useful replies based on analysis of large volumes data. In this article, leading scientists, researchers engineers discuss the transformative effects ChatGPT modern education. This research seeks improve our knowledge capabilities its use in education sector, identifying potential concerns challenges. Our preliminary evaluation concludes that performed differently each subject area including finance, coding maths. While has ability help educators by creating instructional content, offering suggestions acting as online educator learners answering questions, transforming through smartphones IoT gadgets, promoting group work, there are clear drawbacks use, such possibility producing inaccurate or false data circumventing duplicate content (plagiarism) detectors where originality is essential. The often reported "hallucinations" within GenerativeAI general, also relevant for can render limited benefit accuracy What lacks a stochastic measure sincere sensitive communication with users. Academic regulations practices used educational institutions need be updated, should tool To address learning environment, educating teachers students alike about limitations will crucial.

Язык: Английский

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Generative artificial intelligence in the metaverse era

Cognitive Robotics, Год журнала: 2023, Номер 3, С. 208 - 217

Опубликована: Янв. 1, 2023

Generative artificial intelligence (AI) is a form of AI that can autonomously generate new content, such as text, images, audio, and video. provides innovative approaches for content production in the metaverse, filling gaps development metaverse. Products ChatGPT have potential to enhance search experience, reshape information generation presentation methods, become entry points online traffic. This expected significantly impact traditional engine products, accelerating industry innovation upgrading. paper presents an overview technologies prospective applications generative breakthrough metaverse technology offers insights increasing effectiveness creating creative content.

Язык: Английский

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Modern computing: Vision and challenges

Telematics and Informatics Reports, Год журнала: 2024, Номер 13, С. 100116 - 100116

Опубликована: Янв. 8, 2024

Язык: Английский

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Automatic fruit picking technology: a comprehensive review of research advances

Artificial Intelligence Review, Год журнала: 2024, Номер 57(3)

Опубликована: Фев. 14, 2024

Abstract In recent years, the fruit industry has become an important part of agricultural development, and harvesting is a key stage in production process. However, picking fruits during harvest season always major challenge. order to solve challenges time-consuming, costly, inefficient picking, researchers have conducted lot studies on automatic equipment. Existing technologies still require further research development improve efficiency reduce damage. Aiming at efficient non-destructive fruits, this paper reviews machine vision mechanical technology current status, including application equipment structure, working principle, process, experimental results. As promising tool, been widely researched applied due its low hardware cost rich visual information. With science technology, automated integrates information perception, transmission, control, operation, etc., saves manpower costs, continuously promotes modern agriculture direction refinement automation, intelligence. Finally, faced by are discussed, future looked forward with view contributing sustainable development.

Язык: Английский

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Generative AI as Virtual Healthcare Assistant for Enhancing Patient Care Quality

International Journal of Online and Biomedical Engineering (iJOE), Год журнала: 2024, Номер 20(05), С. 174 - 187

Опубликована: Март 15, 2024

This study investigates the potential of Chat Generative Pre-Trained Transformer (ChatGPT) as a virtual healthcare assistant to enhance quality patient care. Inadequate care within systems is key issue that has resulted in lower satisfaction and medical errors. Virtual assistants, exemplified by ChatGPT, have emerged promising solution mitigate these challenges. A comprehensive literature review compares benefits drawbacks using assistants with those human providers assess their effectiveness enhancing The article discusses ChatGPT development process, including data sources used, training validation, integration this technology into systems. results testing care, feedback, are provided. interprets findings indicates can significantly implications implementing sector also explored, along future research areas for ChatGPT. provides important new insights how might offers recommendations organizations legislators on leveraging It shows astonishing known revolutionize industry.

Язык: Английский

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A Comparative Analysis of Generative Artificial Intelligence Tools for Natural Language Processing

Journal of Computing Theories and Applications, Год журнала: 2024, Номер 1(3), С. 311 - 325

Опубликована: Фев. 26, 2024

Generative artificial intelligence tools have recently attracted a great deal of attention. This is because their huge advantages, which include ease usage, quick generation answers to requests, and the human-like they possess. paper presents vivid comparative analysis top 9 generative (AI) tools, namely ChatGPT, Perplexity AI, YouChat, ChatSonic, Google's Bard, Microsoft Bing Assistant, HuggingChat, Jasper Quora's Poe, paying attention Pros Cons each AI presents. shows that several outweigh Cons. Further, we explore transformative impact in Natural Language Processing (NLP), focusing on its integration with search engines, privacy concerns, ethical implications. A categorizes based popularity evaluates challenges development, including data limitations computational costs. The study highlights considerations such as technology misuse regulatory challenges. Additionally, delved into Planning techniques NLP, covering classical planning, probabilistic hierarchical temporal knowledge-driven neural planning models. These approaches are vital achieving specific goals NLP tasks. In conclusion, provide concise overview current state challenges, considerations, potential applications, contributing academic discourse human-computer interaction.

Язык: Английский

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Unveiling the landscape of generative artificial intelligence in education: a comprehensive taxonomy of applications, challenges, and future prospects

Education and Information Technologies, Год журнала: 2024, Номер unknown

Опубликована: Авг. 13, 2024

Язык: Английский

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Students’ appraisals post-ChatGPT use: Students’ narrative after using ChatGPT for writing

Innovations in Education and Teaching International, Год журнала: 2024, Номер unknown, С. 1 - 13

Опубликована: Фев. 18, 2024

Язык: Английский

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ChatGPT’s Security Risks and Benefits: Offensive and Defensive Use-Cases, Mitigation Measures, and Future Implications

IEEE Access, Год журнала: 2024, Номер 12, С. 30263 - 30310

Опубликована: Янв. 1, 2024

ChatGPT has been acknowledged as a powerful tool that can radically boost productivity across wide range of industries. It reveals potential in cybersecurity-related tasks such social engineering. Nevertheless, this possibility raises important concerns regarding the thin line separating moral use technology from its harmful usage. is imperative to address challenges distinguishing between legitimate and malevolent ChatGPT. This research paper investigates many cybersecurity, privacy enterprise settings. covers attacker uses injecting malicious prompts, testing brute force attacks, preparing developing ransomware etc. Defenders' proactive activities are also addressed, highlighting ChatGPT's significance security operations threat intelligence. These defensive classified based on National Institute Standards Technology cybersecurity framework. They involve analyzing configuration files, inquiring about authoritative server, improving various systems, Moreover, secure practices mitigations spread through five classes proposed, with an emphasis clear usage standards guidelines establishment, personally identifiable information protection, adversarial attack prevention, watermarking generated content, An integrated discussion digs into interaction offensive applications, covering ethical practical concerns. Future attacks discussed, along solutions content filtering collaboration. Finally, comparative analysis recent directed. The provides thorough framework comprehend implications associated ChatGPT, enabling navigation challenges.

Язык: Английский

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Randomized Trial of a Generative AI Chatbot for Mental Health Treatment

NEJM AI, Год журнала: 2025, Номер 2(4)

Опубликована: Март 27, 2025

Язык: Английский

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