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Addressing algorithmic bias in ai-driven customer management
Akter, Shahriar; Dwivedi, Yogesh Kumar; Biswas, Kumar; … - In: Journal of global information management 29 (2021) 6, pp. 1-27
Persistent link: https://www.econbiz.de/10012614487
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Iterative rule extension for logic analysis of data : an MILP-based heuristic to derive interpretable binary classifiers from large data sets
Balvert, Marleen - In: INFORMS journal on computing : JOC ; charting new … 36 (2024) 3, pp. 723-741
Persistent link: https://www.econbiz.de/10014634726
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Application of artificial intelligence and machine-learning algorithms for forecasting risk : the case of the Indian stock market
Katragadda, Raghuveer; Bathini, Hari Babu; Atluri, Sree Ram - In: Artificial intelligence enabled management : an …, (pp. 249-262). 2024
Persistent link: https://www.econbiz.de/10014554092
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Evolutionary algorithms and artificial intelligence in drug discovery : opportunities, tools, and prospects
Sharma, Moolchand; Deswal, Suman - In: International journal of networking and virtual … 27 (2022) 4, pp. 267-297
Persistent link: https://www.econbiz.de/10014315018
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Forecasting with Artificial Intelligence : Theory and Applications
Hamoudia, Mohsen (ed.); Makridakis, Spyros G. (ed.);  … - 2023
Part I. Artificial intelligence : present and future -- 1. Human intelligence (HI) versus artificial intelligence (AI) and intelligence augmentation (IA) -- 2. Expecting the future: How AI's potential performance will shape current behavior -- Part II. The status of machine learning methods for...
Persistent link: https://www.econbiz.de/10014369591
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Federated machine learning for privacy preserving, collective supply chain risk prediction
Zheng, Ge; Kong, Lingxuan; Brintrup, Alexandra - In: International journal of production research 61 (2023) 23, pp. 8115-8132
Persistent link: https://www.econbiz.de/10014452606
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Why Providing Humans with Interpretable Algorithms May, Counterintuitively, Lead to Lower Decision-making Performance
DeStefano, Timothy; Kellogg, Katherine C.; Menietti, Michael - 2022
How is algorithmic model interpretability related to human acceptance of algorithmic recommendations and performance on decision-making tasks? We explored these questions in a multi-method field study of a large multinational fashion organization. We first conducted a quantitative field...
Persistent link: https://www.econbiz.de/10014243961
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AI, Ethics, and Discrimination in Business : The DEI Implications of Algorithmic Decision-Making
Marabelli, Marco - 2024
Chapter 1. Zeros and Ones: Striving to Classify -- Chapter 2. Data Extractions and Extractors -- Chapter 3. Training AI, Computation, and the Environment -- Chapter 4. Discipline, Punish … and Workarounds -- Chapter 5. Institutional Inertia and Corporate Sovereignty -- Chapter 6. New Frontiers...
Persistent link: https://www.econbiz.de/10014527977
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Towards knowledge graph reasoning for supply chain risk management using graph neural networks
Kosasih, Edward Elson; Margaroli, Fabrizio; Gelli, Simone; … - In: International journal of production research 62 (2024) 15, pp. 5596-5612
Persistent link: https://www.econbiz.de/10015053713
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In the land of the blind, the one-eyed man is king : knowledge brokerage in the age of learning algorithms
Waardenburg, Lauren; Huysman, Marleen; Sergeeva, … - In: Organization science 33 (2022) 1, pp. 59-82
Persistent link: https://www.econbiz.de/10012820463