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001			in00024807091
003			DLC
005			20260825150833.0
007			t|
008			260720s2027 flu b 001 0 eng
010			_a 2026006682
020			_a9781041331636 _qhbk
020			_a9781041331667 _qpbk
020			_z9781003786405 _qebk
040			_aDLC _beng _erda _cDLC _dDLC-MRC _dDLC
041			_aeng
042			_apcc
049			_aBEV
050	0	0	_aQA76.9.Q36 _bS58 2027
082			_223 _a006.312
092			_223 _a006.312
100	1		_aSkubis, Ida _eauthor _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aHuman-AI collaboration in research : _bpractical applications, ethical frameworks, and future directions / _cIda Skubis, Daniel Xerri and Mladen Adamovic.
263			_a2607
264		1	_aBoca Raton, Florida : _bCRC Press, _c2026.
300			_a74 pages
336			_atext _btxt _2rdacontent _0http://id.loc.gov/vocabulary/contentTypes/txt
337			_aunmediated _bn _2rdamedia _0http://id.loc.gov/vocabulary/mediaTypes/n
338			_avolume _bnc _2rdacarrier _0http://id.loc.gov/vocabulary/carriers/nc
504			_aIncludes bibliographical references and index.
505	0		_aThe 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.
520			_a"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.
650		0	_aQuantitative research _xData processing
650		0	_aHuman-computer interaction
650		0	_aArtificial intelligence _xIndustrial applications
650		0	_aArtificial intelligence _xMoral and ethical aspects
700	1		_aXerri, Daniel _eauthor _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aAdamovic, Mladen _eauthor _4http://id.loc.gov/vocabulary/relators/aut
776	1		_iOnline version _aSkubis, Ida _tHuman-AI collaboration in research _bFirst edition _dBoca Raton : CRC Press, 2027 _z9781003786405 _w(DLC) 2026006683
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _c6
999			_c306408 _d306408