Artificial intelligence in writing and research: ethical implications and best practices DOI Creative Commons

AR. F. AlSamhori,

Fatima Alnaimat

Central Asian Journal of Medical Hypotheses and Ethics, Journal Year: 2024, Volume and Issue: 5(4), P. 259 - 268

Published: Dec. 30, 2024

Artificial Intelligence (AI) is a field that utilizes computer technology to imitate, improve, and expand human intelligence. The concept of AI was originally proposed in the mid-twentieth century, it has evolved into serves different purposes, ranging from simple automation complex decision-making processes. encompasses Narrow Intelligence, General Super Intelligence. transforming data analysis, language checks, literature reviews research. In many fields applications, ethical considerations, including plagiarism, bias, privacy, responsibility, transparency, need precise norms oversight. By promoting understanding adherence principles, research community may successfully utilize advantages while upholding academic accountability integrity. It takes teamwork all stakeholders improve knowledge creativity, use essential.

Language: Английский

GENERATIVE AI: A TOOL FOR ADDRESSING DATA SCARCITY IN SCIENTIFIC RESEARCH DOI
Tymoteusz Miller, Irmina Durlik, Adrianna Łobodzińska

et al.

ГРААЛЬ НАУКИ, Journal Year: 2024, Volume and Issue: 43, P. 301 - 307

Published: Sept. 15, 2024

Generative AI, a pivotal advancement in data science, addresses scarcity by producing high-quality synthetic that mirrors real-world data. This article explores AI's capabilities, including augmentation, privacy-preserving anonymization, simulation of rare events, and cost-efficient collection. Techniques such as Adversarial Networks (GANs) Variational Autoencoders (VAEs) are discussed, highlighting their role creating realistic diverse The practical applications span healthcare, finance, climate demonstrating transformative potential enhancing research across various scientific disciplines.

Language: Английский

Citations

0
The (lack of) ethics at generative AI in Business Management education and research DOI Creative Commons
Elize Jacinto, Ana Correa, Maria Clara Figueiredo Dalla Costa Ames

et al.

RAM. Revista de Administração Mackenzie, Journal Year: 2024, Volume and Issue: 25(6)

Published: Jan. 1, 2024

Abstract Purpose: This study aims to discuss the impacts of using generative artificial intelligence (GenAI) in education and research business management field, a virtue ethics lens reflect on technology’s effects people. Originality/value: Our analysis considers potential risks opportunities GenAI, particularly ChatGPT. We categorized AI into groups by mapping agent-centered or action-centered articles sorting them ethical perspective they come from (deontology, utilitarianism, ethics), keeping mind that addresses mainly utilitarian rules principles. emphasizes human element avoid oversimplifying people’s formation. Design/methodology/approach: conducted semi-systematic review recent literature GenAI research. used PRISMA method collect select three academic databases: Scopus, Science Direct, Web Science, addition Google Scholar. From 45 articles, we mapped main issues: level, perspective, impacts. Findings: point out GenIA for student learning researcher training virtues character is incipient, while issues are mentioned implicitly superficially. can enhance reduce development research, depending its appropriate use processes. A solid grounding essential deeply understanding impact human-AI relationships.

Language: Английский

Citations

0
Artificial intelligence in writing and research: ethical implications and best practices DOI Creative Commons

AR. F. AlSamhori,

Fatima Alnaimat

Central Asian Journal of Medical Hypotheses and Ethics, Journal Year: 2024, Volume and Issue: 5(4), P. 259 - 268

Published: Dec. 30, 2024

Artificial Intelligence (AI) is a field that utilizes computer technology to imitate, improve, and expand human intelligence. The concept of AI was originally proposed in the mid-twentieth century, it has evolved into serves different purposes, ranging from simple automation complex decision-making processes. encompasses Narrow Intelligence, General Super Intelligence. transforming data analysis, language checks, literature reviews research. In many fields applications, ethical considerations, including plagiarism, bias, privacy, responsibility, transparency, need precise norms oversight. By promoting understanding adherence principles, research community may successfully utilize advantages while upholding academic accountability integrity. It takes teamwork all stakeholders improve knowledge creativity, use essential.

Language: Английский

Citations

0