Cruz, D.V. Contreras, R. G. and Garcia, J.R.G.

Exploring the negative impacts of artificial intelligence in government: The dark side of intelligent algorithms and cognitive machines - International Review of Administrative Sciences - 90(2), Jun, 2024: p.353-368

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



AI, negative impacts, socio technical categories