A practical guide toward explainability and bias evaluation in AI and machine learning

A practical guide toward explainability and bias evaluation in AI and machine learning

"Alejandro Saucedo (The Institute for Ethical AI & Machine Learning) doesn't reinvent the wheel; he simplifies the issue of AI explainability so it can be solved using traditional methods. He covers the high-level definitions of bias in machine learning to remove ambiguity and demystif...

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Detalles Bibliográficos
Otros Autores: Saucedo, Alejandro, on-screen presenter (onscreen presenter)
Formato: Vídeo online
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly Media 2019.
Materias:
O'Reilly Artificial Intelligence Conference > (2019 : > San Jose, California)
Artificial intelligence > Moral and ethical aspects.
Machine learning > Moral and ethical aspects.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822819606719

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