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Titlebook: Electronic Government and the Information Systems Perspective; 11th International C Andrea Kő,Enrico Francesconi,Ismail Khalil Conference p

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Scaling-Up of High Impact Interventionsrk gives an overview of the problem of discrimination in Automated Decision-Making (ADM) and assesses the existing literature for possible legal and technical solutions to defining fairness in ML systems.
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The efficiency of the Structural Fundstions. Experiments showed similar results to the original ones, but pointing to k-Nearest-Neighbours (and not Logistic Regression) as the most accurate technique for this purpose – given Brazilian context’s characteristics.
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https://doi.org/10.1007/978-94-017-1843-1ity between different tools. We have conducted this research inside of the project ‘Drafting legislation in the era of AI and digitisation’ with the support of the EU Commission – Directorate General Informatics Unit B2 – Solutions for Legislation, Policy & HR.
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Object Relational Mapping Vs. Event-Sourcing: Systematic Reviewonal Mapping, seem inappropriate for all cases, but other alternatives feel too complicated to implement. Moreover, new software design methodologies, like Domain-Driven Design, provide alternative modeling tools for software systems, which in contrast to Object-Oriented Design, focus more on Domain
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Foundation Models in Healthcare: Opportunities, Biases and Regulatory Prospects in Europe particular downstream tasks. In particular, it explores the issue from the perspective of healthcare and biomedicine, focusing on the benefits of foundation models, as well as their propensity to encode bias, which threatens to exacerbate discriminatory practices already experienced by patients in
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