THE USE OF EXPLAINABLE ARTIFICIAL INTELLIGENCE AS A TOOL TO UNDERSTAND AUTOMATED DECISIONS: A POSSIBLE WAY TO INCREASE THE LEGITIMITY AND RELIABILITY OF ALGORITHMIC MODELS?
Considering that the lack of transparency in artificial intelligence (AI) models represents a risk for its application in sensitive areas, this work aims to investigate explainable artificial intelligence (XAI), which is dedicated to providing satisfactory explanations about algorithmic model decisi...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | Brasil |
| Institución: | Universidade Federal de Santa Maria (UFSM) |
| Repositorio: | Revista Eletrônica do Curso de Direito da UFSM |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/69329 |
| Acceso en línea: | http://periodicos.ufsm.br/revistadireito/article/view/69329 |
| Access Level: | acceso abierto |
| Palabra clave: | deeplearning inteligência artificial inteligência artificial explicável machine learning deep learning Artificial Intelligence explainable artificial intelligence aprendizaje profundo inteligencia artificial inteligencia artificial explicable aprendizaje automático |
| Sumario: | Considering that the lack of transparency in artificial intelligence (AI) models represents a risk for its application in sensitive areas, this work aims to investigate explainable artificial intelligence (XAI), which is dedicated to providing satisfactory explanations about algorithmic model decisions. From a review of current literature on the subject, an inductive analysis is undertaken. It is concluded that XAI must be a constitutive element of the transparency of AI systems, since it acts as an important counterweight to opacity, transforming algorithmic “black boxes” into “glass boxes”. In this sense, the creation of more transparent and interpretable systems should be considered and encouraged in the formulation of public policies, in order to increase the legitimacy of decisions produced by intelligent systems. |
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