Although the decision-making machinery of an algorithmic agent can in principle be laid bare for all to see, the sheer complexity of ADM systems based on deep learning models prevents straightforward monitoring. We draw on literature from economics and political science to argue that the problem ...
The evolution of algorithmic decision-making in financial services Examining the technical aspects of algorithmic decision-making Implications of ML Conclusions Data availability Notes References Acknowledgements Funding Author information Additional information Rights and permissions About this article AdvertisementDi...
The stakes associated with an algorithmic decision are often said to play a role in determining whether the decision engenders a right to an explanation. More specifically, "high stakes" decisions are often said to engender such a right to explanation whereas "low stakes" or "non-high" stakes...
publisheda review on bias in algorithmic decision-making. It found that there has been a notable growth in algorithmic decision-making over the last few years across four sectors – recruitment, financial services, policing and local government – and discovered...
Procedural fairness in algorithmic decision-making: the role of public engagement the widespread use of automated decision-making (ADM) systems, they are often developed without involving the public or those directly affected, leading to... DeckerMarie Christin,WegnerLaila,Leicht-ScholtenCarmen - Ethics...
Based on this,algorithmic decision-making (ADM) in HRMis defined asemploying com-puter-based HR decision algorithms for drawing or supporting HR decisions.Practice of Algorithmic Decision Making in HRMDue to the lack of empirical research on ADM in HRM (see below), only a few generalestimates ...
Leveraging international R&D teams of portfolio entrepreneurs and management controllers to innovate: Implications of algorithmic decision-making Author links open overlay panelWaymond Rodgers a b, William Y. Degbey c, Arne Söderbom d, Svante Leijon e 1Show more Add to Mendeley Share Cite...
Nowadays fairness issues have raised great concerns in decision-making systems. Various fairness notions have been proposed to measure the degree to which an algorithm is unfair. In practice, there frequently exist a certain set of variables we term as fair variables, which are pre-decision covaria...
Firms use algorithms to make important business decisions. To date, the algorithmic accountability literature has elided a fundamentally empirical question important to business ethics and management: Under what circumstances, if any, are algorithmic decision-making systems consideredlegitimate? The present ...
The Social Impact of Decision-Making Algorithms: Reviewing the Influence of Agency, Responsibility and Accountability on Trust and Blame the need for a more nuanced understanding of the impact of agency, responsibility and accountability on trust and blame in algorithmic decision-making. By... DW He...