8-10% of algorithmic recommendations are 'bad', but... an exploratory risk-utility meta-analysis and its regulatory implications. - Martin Hilbert; Arti Thakur; Pablo M. Flores; Xiaoya Zhang; Jee Young Bhan; Patrick Bernhard; Feng Ji (Int. J. Inf. Manag., 2024)