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- W4283703613 abstract "Under current European data protection law and the approach of the European Commission regarding artificial intelligence (AI) development, the principle of transparency and explainability by design are essential to protect the data subject's rights and generate confidence in AI systems. However, a closer look reveals that the legal approach ignores limitations of the transparency principle in the practical application of automated-decision making systems. Current transparency rules also require a high standard of transparency in automated decisions due to its potential risks.This paper seeks to analyze the scope of the principle of transparency and its limitations in the practical field, suggesting a division of data subjects to provide automated decision-making explanations according to their level of expertise to reach the transparency principle's goal: user understanding. The paper will address the semantic discussion of whether this objective is achieved through interpretability, explainability, accountability or, transparency in the broad sense. It also maps out the analysis about guidance to address transparency through a certification mechanism, contestability by design, or supplementary post hoc explanations in AI systems." @default.
- W4283703613 created "2022-06-30" @default.
- W4283703613 creator A5047565852 @default.
- W4283703613 date "2022-05-23" @default.
- W4283703613 modified "2023-09-23" @default.
- W4283703613 title "An Introduction to the Principle of Transparency in Automated Decision-Making Systems" @default.
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- W4283703613 doi "https://doi.org/10.23919/mipro55190.2022.9803417" @default.
- W4283703613 hasPublicationYear "2022" @default.
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