Exploring the negative impacts of artificial intelligence in government: The dark side of intelligent algorithms and cognitive machines (Record no. 526944)

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fixed length control field 01439nam a22001577a 4500
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fixed length control field 240725b ||||| |||| 00| 0 eng d
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Personal name Cruz, D.V. Contreras, R. G. and Garcia, J.R.G.
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Title Exploring the negative impacts of artificial intelligence in government: The dark side of intelligent algorithms and cognitive machines
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc International Review of Administrative Sciences
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Extent 90(2), Jun, 2024: p.353-368
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Summary, etc This research proposes a framework for the negative impacts of artificial intelligence (AI) in government by classifying 14 topics of its dark side into five socio technical categories. The framework is based on a systematic literature review and highlights that the dark side is predominantly driven by political, legal, and institutional aspects, but it is also influenced by data and technology. Lack of understanding of AI outcomes, biases, and errors, as well as manipulation of intelligent algorithms and cognitive machines are contributing factors. The public sector should create knowledge about AI from an ethical, inclusive, and strategic perspective, involving experts from different areas.- Reproduced

https://journals.sagepub.com/doi/abs/10.1177/00208523231187051
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element AI, negative impacts, socio technical categories
9 (RLIN) 55365
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Main entry heading International Review of Administrative Sciences
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Subject DIP ARTIFICIAL INTELLIGENCE
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Item type Articles
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Serial Enumeration / chronology Barcode Date last seen Koha item type
          Indian Institute of Public Administration Indian Institute of Public Administration 2024-07-25 90(2), Jun, 2024: p.353-368 AR132438 2024-07-25 Articles

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