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ETHNOS_APP

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ID9532030
NOMBRELars Adde
NOMBRESLars
APELLIDOAdde
FIRMAADDE L
AFILIACIONESNorwegian University of Science and Technology
ORCID0000-0001-5532-0034
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2025
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Unlocking the black box

    Open Access•Reda Hassan, Nhien Nguyen et al.•ARTICLE•Technological Forecasting and…•2025

    Despite the advanced predictive capabilities of artificial intelligence (AI) systems, their inherent opacity often leaves users confused about the rationale behind their outputs. We investigate the challenge of AI opacity, which undermines user trust and the effectiveness of clinical judgment in healthcare. We demonstrate how human experts make judgment in high-stakes scenarios where their judgment diverges from AI predictions, emphasizing the ne…

Sin obras prominentes en esta página.

  • Unlocking the black box

    Open Access•Reda Hassan, Nhien Nguyen et al.•ARTICLE•Technological Forecasting and…•2025

    Despite the advanced predictive capabilities of artificial intelligence (AI) systems, their inherent opacity often leaves users confused about the rationale behind their outputs. We investigate the challenge of AI opacity, which undermines user trust and the effectiveness of clinical judgment in healthcare. We demonstrate how human experts make judgment in high-stakes scenarios where their judgment diverges from AI predictions, emphasizing the ne…

Artificial Intelligence (1 obra) · Artificial Intelligence (1 obra) · Artificial Intelligence in Healthcare and Education (1 obra) · Black box (1 obra) · Computer Science (1 obra) · Data science (1 obra) · Economic growth (1 obra) · Economics (1 obra) · Environmental health (1 obra) · Ethics and Social Impacts of AI (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae