Algorithmic Decision-Making: Examining The Interplay of Technology, People, & Organizational Practices
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This document outlines a study examining how organizational practices and incentives influence the performance of algorithmic decision-making systems used for loan application reviews. The researchers designed an experiment using a collaborative human-machine model to assess loan applications. They found that when incentives were aligned between humans and machines, and organizational practices supported the effective use of AI, the joint human-machine system approved more loans and had better performance outcomes than humans or machines alone. The study provides insights into how organizational culture and norms can impact the success of applying AI/ML technologies to decision-making tasks.
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Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
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Algorithmic Decision-Making: Examining The Interplay of Technology, People, & Organizational Practices
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- 13. Re ea ch M de
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- 17. T ea e Ma i a i (I ce i e A ig e )
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- 19. Constructs Used in the Study
- 20. H a + Machi e > H a A e
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- 22. Pe a ce O e T e
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- 24. Re e Re
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- 26. T a Y a . @ba c .c .ed