Human-AI Collaboration in Research: Practical Applications, Ethical Frameworks, and Future Directions
暫譯: 人類與人工智慧的合作研究：實務應用、倫理框架與未來方向
Skubis, Ida, Xerri, Daniel, Adamovic, Mladen
相關主題
商品描述
Human-AI Collaboration in Research: Practical Applications, Ethical Frameworks, and Future Directions positions human-AI collaboration (HAIC) as a defining feature of contemporary research ecosystems. The book examines the incorporation of AI across the research lifecycle, including research design, literature work, data collection and processing, analysis, interpretation, academic writing, and dissemination. It highlights the opportunities created by automation and generative systems, alongside the challenges raised for research integrity, accountability, transparency, privacy, and epistemic authority. Ethical and regulatory foundations are addressed through established frameworks such as the Belmont Report and the Declaration of Helsinki, as well as European governance instruments including the Ethics Guidelines for Trustworthy AI, the General Data Protection Regulation (GDPR), and the EU Artificial Intelligence Act. By combining interdisciplinary perspectives from robotics, management research, and education, the volume translates abstract ethical principles into concrete research-relevant practices, offering a coherent and human-centred approach to trustworthy AI-supported inquiry. The book offers original, research-ready frameworks and applied guidance for responsible HAIC, combining real-world case studies with practical strategies for trustworthy AI use. It equips researchers, educators, and management scholars with tools for human oversight, transparency, bias mitigation, and accountable AI-supported workflows, ensuring scientific rigour alongside innovation.
商品描述(中文翻譯)
《人類與人工智慧的合作研究：實務應用、倫理框架與未來方向》將人類與人工智慧的合作（HAIC）視為當代研究生態系統的一個定義特徵。本書探討了人工智慧在研究生命週期中的整合，包括研究設計、文獻工作、數據收集與處理、分析、詮釋、學術寫作及傳播。它突顯了自動化和生成系統所創造的機會，以及對研究誠信、問責、透明度、隱私和認識論權威所提出的挑戰。倫理和監管基礎通過已建立的框架進行探討，例如貝爾蒙特報告和赫爾辛基宣言，以及包括可信賴人工智慧倫理指導方針、一般數據保護條例（GDPR）和歐盟人工智慧法案在內的歐洲治理工具。通過結合來自機器人學、管理研究和教育的跨學科視角，本書將抽象的倫理原則轉化為具體的研究相關實踐，提供一種一致且以人為中心的可信賴人工智慧支持的探究方法。本書提供原創的、適合研究的框架和負責任的HAIC應用指導，結合現實案例研究與可信賴人工智慧使用的實用策略。它為研究人員、教育工作者和管理學者提供人類監督、透明度、偏見緩解和可問責的人工智慧支持工作流程的工具，確保科學的嚴謹性與創新並存。
作者簡介
Ida Skubis is an Assistant Professor at the Silesian University of Technology in Poland. She holds a PhD in Linguistics and possesses Master's degrees in four languages. She has extensive professional experience in both academia and business, having held managerial positions in international companies. She currently serves as the CEO of the Housing Community. She is actively involved in interdisciplinary AI projects and frequently participates in international conferences. Additionally, she serves as a reviewer for international journals on AI-related topics. She has received numerous scholarships and awards for her scientific research, including a prestigious scholarship in France under the Marie Sklodowska-Curie Actions (Horizon Europe) for her research on the Ethics of AI. https: //idaskubis.net/
Daniel Xerri is an Associate Professor in Applied Linguistics and TESOL at the University of Malta and the Chairperson of the ELT Council. He has published widely on different areas of English language education. He has co-edited more than ten books and authored over 250 publications. He has also delivered plenary talks and keynotes in 20 countries, and his research has been awarded international prizes. His main research interests are teacher research, educational technology, and professional learning. His most recent book is The Rise of English as a Glocal Language: Reimagining its Role in an Era of Deglobalisation (Springer, 2026). www.danielxerri.com
Mladen Adamovic is a Reader in Global Management at King's College London. His recent research on AI in management focuses on algorithmic bias, ethnic discrimination in recruitment, and the implications of AI for equality, decision making, and leadership. He is an expert in business research methods and uses surveys, field experiments, and advanced quantitative analyses. His work has been published in more than 50 peer-reviewed journal articles, including The Leadership Quarterly and Human Resource Management Journal, and has also appeared in Harvard Business Review. As an award-winning scholar and highly regarded educator, he regularly delivers executive education.
作者簡介(中文翻譯)
Ida Skubis 是波蘭西里西亞科技大學的助理教授。她擁有語言學博士學位，並且擁有四種語言的碩士學位。她在學術界和商業界擁有豐富的專業經驗，曾在國際公司擔任管理職位。她目前擔任住房社區的執行長。她積極參與跨學科的人工智慧（AI）項目，並經常參加國際會議。此外，她還擔任國際期刊的審稿人，專注於與AI相關的主題。她因其科學研究獲得了多項獎學金和獎項，包括在法國的瑪麗·斯克沃多夫斯卡-居里行動（Horizon Europe）下獲得的著名獎學金，以支持她對AI倫理的研究。 https://idaskubis.net/
Daniel Xerri 是馬爾他大學應用語言學及英語教學（TESOL）的副教授，並擔任英語教學委員會的主席。他在英語語言教育的不同領域發表了大量著作。他共同編輯了十多本書籍，並撰寫了超過250篇出版物。他還在20個國家發表過全體會議演講和主題演講，其研究獲得了國際獎項。他的主要研究興趣包括教師研究、教育科技和專業學習。他最近的著作是 The Rise of English as a Glocal Language: Reimagining its Role in an Era of Deglobalisation（Springer, 2026）。 www.danielxerri.com
Mladen Adamovic 是倫敦國王學院的全球管理學講師。他最近關於管理中AI的研究專注於算法偏見、招聘中的種族歧視，以及AI對平等、決策和領導的影響。他是商業研究方法的專家，使用調查、實地實驗和高級定量分析。他的研究成果已發表在超過50篇同行評審的期刊文章中，包括 The Leadership Quarterly 和 Human Resource Management Journal，並且也出現在 Harvard Business Review 上。作為一位獲獎學者和備受推崇的教育者，他定期提供高管教育課程。
