Results 221 to 230 of about 5,948 (308)

Emotional prompting amplifies disinformation generation in AI large language models. [PDF]

open access: yesFront Artif Intell
Vinay R   +3 more
europepmc   +1 more source

Anatomists' experience and perspectives on the international transfer of human remains for the purpose of education

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Anecdotally, educational institutions without access to human remains may choose to import these from other countries; however, there is currently no published information illuminating the existence of this trade. This study therefore aimed to document the nature of international transfer of human remains for education, and explore anatomists'
Jackie Hazelhurst   +7 more
wiley   +1 more source

Integration of the arts and biomedical engineering in innovative interdisciplinary anatomy education: The synthetic anatomy module

open access: yesAnatomical Sciences Education, EarlyView.
Abstract The intersection of science and art has historically fostered innovation, yet the integration of creative arts into anatomy education remains limited. The Synthetic Anatomy module was designed to bridge anatomy teaching with creative design for bioscience and biomedical engineering students. This study evaluates the module's educational impact
Mandeep Gill Sagoo   +6 more
wiley   +1 more source

Developing a critical caste analysis within information science and technology: A research review: An annual review of information science and technology paper

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Caste—an ascriptive social hierarchy in South Asia and its diaspora—is a globalized phenomenon. Recent caste‐based discrimination, particularly in technology companies and anti‐caste efforts to address it, has compelled academia, policy, and the technology industry to better understand contemporary mechanics of caste.
Nayana Kirasur, Britt Paris
wiley   +1 more source

Interpreting algorithmic information cues: User sensemaking of search autocomplete moderation

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Autocomplete is a search feature that algorithmically generates information cues for any keywords entered in the search bar. While this feature makes the search process more efficient, it also frequently produces biased, misleading, offensive, or otherwise inappropriate suggestions.
Shagun Jhaver
wiley   +1 more source

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