000			01518nam a22001457a 4500
999			_c520294 _d520294
008			220907b ||||| |||| 00| 0 eng d
100			_aBusuioc, Madalina _933887
245			_aAccountable artificial intelligence: Holding algorithms to account
260			_aPublic Administration Review
300			_a81(5), Sep-Oct, 2021: p.825-836
520			_aArtificial intelligence (AI) algorithms govern in subtle yet fundamental ways the way we live and are transforming our societies. The promise of efficient, low-cost, or “neutral” solutions harnessing the potential of big data has led public bodies to adopt algorithmic systems in the provision of public services. As AI algorithms have permeated high-stakes aspects of our public existence—from hiring and education decisions to the governmental use of enforcement powers (policing) or liberty-restricting decisions (bail and sentencing)—this necessarily raises important accountability questions: What accountability challenges do AI algorithmic systems bring with them, and how can we safeguard accountability in algorithmic decision-making? Drawing on a decidedly public administration perspective, and given the current challenges that have thus far become manifest in the field, we critically reflect on and map out in a conceptually guided manner the implications of these systems, and the limitations they pose, for public accountability.- Reproduced
773			_aPublic Administration Review
906			_aARTIFICIAL INTELLIGENCE
942			_cAR