000			a
999			_c22374 _d22374
003			OSt
005			20250303091617.0
008			250303b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_925471 _aYuan, Qihui
245			_aUnveiling ethical AI _b: an in-depth bibliometric and visual exploration
250			_aVol.58(4), Oct-Dec
260			_aBanaglore _bAssociation of Pharmaceutical Teachers of India (APTI) _c2024
300			_a1084-1101p.
520			_aThis study meticulously delineates the research progression, focal points, developmental path and emergent evolutionary trajectories of computational intelligence within the domain of ethics. A comprehensive quantitative report, embodying bibliometric principles, was prepared using the Web of Science Core Collection database. The methodology involved conducting an extensive search for original articles and reviews related to “ethical artificial intelligence” Relevant data from these sources were extracted and integrated into CiteSpace and Vosviewer for bibliometric and knowledge mapping analysis. The R package was used as an auxiliary tool in this process, facilitating the creation of co-occurrence networks and providing necessary information on authors, countries/regions, institutions, documents, references and keywords. This investigation includes an aggregate of 327 articles. The research on ethical AI originated in 2001 and experienced a marked escalation from 2015 onwards. Luciano Floridi has made the most significant contribution with regard to the volume of scholarly outputs. The USA emerged as the region with the most prolific output and the University of Oxford stands as the institution contributing the greatest amount of articles.
650		0	_94639 _aPHARMACEUTICS
700			_925473 _aChen, Tingxuan
773	0		_x0019-5464 _tIndian journal of pharmaceutical education and research _dBengluru Association of Pharmaceutical Teachers of India (APTI)
856			_uhttps://ijper.org/article/doi/6033/ _yClick here
942			_2ddc _cAR