000			01439nam a22001577a 4500
999			_c526944 _d526944
008			240725b ||||| |||| 00| 0 eng d
100			_aCruz, D.V. Contreras, R. G. and Garcia, J.R.G. _955364
245			_aExploring the negative impacts of artificial intelligence in government: The dark side of intelligent algorithms and cognitive machines
260			_aInternational Review of Administrative Sciences
300			_a90(2), Jun, 2024: p.353-368
520			_aThis 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			_aAI, negative impacts, socio technical categories _955365
773			_aInternational Review of Administrative Sciences
906			_aARTIFICIAL INTELLIGENCE
942			_cAR