Lecture notes in computer science, Journal Year: 2025, Volume and Issue: unknown, P. 142 - 152
Published: Jan. 1, 2025
Language: Английский
European Journal of Risk Regulation, Journal Year: 2023, Volume and Issue: 15(3), P. 602 - 624
Published: Aug. 29, 2023
Abstract This article focuses on copyright issues pertaining to generative artificial intelligence (AI) systems, with particular emphasis the ChatGPT case study as a primary exemplar. In order generate high-quality outcomes, AI systems require substantial quantities of training data, which may frequently comprise copyright-protected information. prompts inquiries into legal principles fair use, creation derivative works and lawfulness data gathering utilisation. The utilisation input for purpose enhancing models presents significant concerns regarding potential violations copyright. paper offers suggestions safeguarding interests holders competitors, while simultaneously addressing challenges expediting advancement technologies. analyses platform example explore necessary modifications that regulations must undergo adequately tackle intricacies authorship ownership in realm AI-generated creative content.
Language: Английский
Citations
57
Journal of Computer Virology and Hacking Techniques, Journal Year: 2024, Volume and Issue: 20(3), P. 429 - 440
Published: July 23, 2024
Language: Английский
Citations
28
AI, Journal Year: 2024, Volume and Issue: 5(2), P. 803 - 841
Published: June 4, 2024
This study explores the progress of chatbot technology, focusing on aspect error correction to enhance these smart conversational tools. Chatbots, powered by artificial intelligence (AI), are increasingly prevalent across industries such as customer service, healthcare, e-commerce, and education. Despite their use increasing complexity, chatbots prone errors like misunderstandings, inappropriate responses, factual inaccuracies. These issues can have an impact user satisfaction trust. research provides overview chatbots, conducts analysis they encounter, examines different approaches rectifying errors. include using data-driven feedback loops, involving humans in learning process, adjusting through methods reinforcement learning, supervised unsupervised semi-supervised meta-learning. Through real life examples case studies fields, we explore how strategies implemented. Looking ahead, challenges faced AI-powered including ethical considerations biases during implementation. Furthermore, transformative potential new technological advancements, explainable AI models, autonomous content generation algorithms (e.g., generative adversarial networks), quantum computing training. Our information for developers researchers looking improve capabilities, which be applied service support effectively address requirements.
Language: Английский
Citations
15
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: Feb. 2, 2024
Abstract The advent of ChatGPT has sparked a heated debate surrounding natural language processing technology and AI-powered chatbots, leading to extensive research applications across various disciplines. This pilot study aims investigate the impact on users' experiences by administering two distinct questionnaires, one generated humans other ChatGPT, along with an Emotion Detecting Model. A total 14 participants (7 female 7 male) aged between 18 35 years were recruited, resulting in collection 8672 ChatGPT-associated data points 8797 human-associated points. Data analysis was conducted using Analysis Variance (ANOVA). results indicate that utilization enhances participants' happiness levels reduces their sadness levels. While no significant gender influences observed, variations found about specific emotions. It is important note limited sample size, narrow age range, potential cultural impacts restrict generalizability findings broader population. Future directions should explore incorporating additional models or chatbots user emotions, particularly among groups such as older individuals teenagers. As pioneering works evaluating human perception text communication, it noteworthy received positive evaluations demonstrated effectiveness generating questionnaires.
Language: Английский
Citations
12
AI and Ethics, Journal Year: 2024, Volume and Issue: unknown
Published: July 30, 2024
Abstract This survey paper explores the transformative role of Artificial Intelligence (AI) in information security. Traditional methods, especially rule-based approaches, faced significant challenges protecting sensitive data from ever-changing cyber threats, particularly with rapid increase volume. study thoroughly evaluates AI’s application security, discussing its strengths and weaknesses. It provides a detailed review impact on examining various AI algorithms used this field, such as supervised, unsupervised, reinforcement learning, highlighting their respective limitations. The identifies key areas for future research focusing improving algorithms, strengthening addressing ethical issues, exploring safety security-related concerns. emphasizes security risks, including vulnerability to adversarial attacks, aims enhance robustness reliability systems by proposing solutions potential threats. findings aim benefit cybersecurity professionals researchers offering insights into intricate relationship between AI, emerging technologies.
Language: Английский
Citations
11
Information, Journal Year: 2024, Volume and Issue: 15(12), P. 755 - 755
Published: Nov. 27, 2024
Deep learning (DL) has become a core component of modern artificial intelligence (AI), driving significant advancements across diverse fields by facilitating the analysis complex systems, from protein folding in biology to molecular discovery chemistry and particle interactions physics. However, field deep is constantly evolving, with recent innovations both architectures applications. Therefore, this paper provides comprehensive review DL advances, covering evolution applications foundational models like convolutional neural networks (CNNs) Recurrent Neural Networks (RNNs), as well such transformers, generative adversarial (GANs), capsule networks, graph (GNNs). Additionally, discusses novel training techniques, including self-supervised learning, federated reinforcement which further enhance capabilities models. By synthesizing developments identifying current challenges, insights into state art future directions research, offering valuable guidance for researchers industry experts.
Language: Английский
Citations
9
Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: 7, P. 100248 - 100248
Published: June 29, 2024
Open-ended assessments play a pivotal role in enabling instructors to evaluate student knowledge acquisition and provide constructive feedback. Integrating large language models (LLMs) such as GPT-4 educational settings presents transformative opportunity for assessment methodologies. However, existing literature on LLMs addressing open-ended questions lacks breadth, relying limited data or overlooking question difficulty levels. This study evaluates GPT-4's proficiency responding spanning diverse topics cognitive complexities comparison human responses. To facilitate this assessment, we generated dataset of 738 across Biology, Earth Sciences, Physics systematically categorized it based Bloom's Taxonomy. Each included eight human-generated responses two from GPT-4. The outcomes indicate superior performance over humans, encompassing both native non-native speakers, irrespective gender. Nevertheless, advantage was not sustained 'remembering' 'creating' aligned with These results highlight potential underpinning advanced question-answering systems, its promising supporting capacity augment teacher assistance assessments. limitations nuanced argumentation creativity underscore areas necessitating refinement these models, guiding future research toward bolstering pedagogical support.
Language: Английский
Citations
8
IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 121507 - 121537
Published: Jan. 1, 2024
Language: Английский
Citations
8
Knowledge and Information Systems, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 6, 2024
Language: Английский
Citations
8
European Journal of Education, Journal Year: 2025, Volume and Issue: 60(1)
Published: Feb. 18, 2025
ABSTRACT The arrival of generative artificial intelligence (GAI) technologies marks a significant transformation in the educational landscape, with implications for teaching and learning performance. These can generate content, simulate interactions, adapt to learners' needs, offering opportunities interactive experiences. In China's education sector, incorporating GAI address challenges, enhance practices, improve This study scrutinises impact on performance focusing mediating roles e‐learning competence (EC), desire (DL), beliefs about future (BF), as well moderating role facilitating conditions amongst Chinese educators. Data was collected from 411 teachers across various institutions China using purposive sampling. PLS‐SEM ANN were employed assess suggested structural model. results indicate that significantly influence by EC, DL, BF roles. Furthermore, positively moderate association BF. underscores critical self‐determination theory shaping effective incorporation education, valuable insights outcomes sector.
Language: Английский
Citations
1