03898cam a22004818i 4500 in00024807091 DLC 20260825150833.0 t| 260720s2027 flu b 001 0 eng 2026006682 9781041331636 hbk 9781041331667 pbk 9781003786405 ebk DLC eng rda DLC DLC-MRC DLC eng pcc BEV QA76.9.Q36 S58 2027 23 006.312 23 006.312 Skubis, Ida author aut http://id.loc.gov/vocabulary/relators/aut Human-AI collaboration in research : practical applications, ethical frameworks, and future directions / Ida Skubis, Daniel Xerri and Mladen Adamovic. 2607 Boca Raton, Florida : CRC Press, 2026. 74 pages text txt rdacontent http://id.loc.gov/vocabulary/contentTypes/txt unmediated n rdamedia http://id.loc.gov/vocabulary/mediaTypes/n volume nc rdacarrier http://id.loc.gov/vocabulary/carriers/nc Includes bibliographical references and index. The role and ethics of humanoid robots in contemporary research contexts -- Facilitating teacher-researchers' reflection on classroom inquiry through generative artificial intelligence -- Using ChatGPT in management research : a practical guide for scholars -- The future of human-AI collaboration in research : redesigning inquiry through symbiotic partnerships. "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"-- Provided by publisher. Quantitative research Data processing Human-computer interaction Artificial intelligence Industrial applications Artificial intelligence Moral and ethical aspects Xerri, Daniel author http://id.loc.gov/vocabulary/relators/aut Adamovic, Mladen author http://id.loc.gov/vocabulary/relators/aut Online version Skubis, Ida Human-AI collaboration in research First edition Boca Raton : CRC Press, 2027 9781003786405 (DLC) 2026006683 7 cbc orignew 1 ecip 20 y-gencatlg ddc 6 306408 306408 0 0 ddc 0 0 10 10 1 2026-07-15 10 COMPRA 79.99 0 006.312 S6293h 82000002671424 2026-07-15 00:00:00 79.99 2026-07-15 6