Responsible Data Science : transparency and fairness in algorithms

Responsible Data Science transparency and fairness in algorithms

The increasing popularity of data science has resulted in numerous well-publicized cases of bias, injustice, and discrimination. The widespread deployment of "Black box" algorithms that are difficult or impossible to understand and explain, even for their developers, is a primary source of...

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Detalles Bibliográficos
Otros Autores: Bruce, Peter C., author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Indianapolis, Ind.: Wiley c2021.
Indianapolis, Indiana : 2021.
Materias:
Artificial intelligence > Moral and ethical aspects.
Research > Data processing > Moral and ethical aspects.
Algorithms.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009633578006719

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