Responsible AI

Implementing Ethical and Unbiased Algorithms

,

Éditeur :

Springer

Paru le : 2021-09-13

This book is written for software product teams that use AI to add intelligent models to their products or are planning to use it. As AI adoption grows, it is becoming important that all AI driven products can demonstrate they are not introducing any bias to the AI-based decisions they are making, a...
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Éditeur

Collection
n.c

Parution
2021-09-13

Pages
177 pages

EAN papier
9783030769772

Auteur(s) du livre


Sray Agarwal:Sray Agarwal has applied AI and analytics from Financial Services to Hospitality and has led the development of Responsible AI framework for one of the largest banks in the UK. A well-known industry expert with expertise in Predictive Modelling, Forecasting and advanced Machine Learning with profound knowledge of algorithms and advanced statistic, Sray is an Associate Director of Data Science and Analytics at Publicis Sapient, the digital business transformation company. He is an active blogger and has given his talks on Ethical AI at major AI conferences across the globe. His contribution to the development of the technology was recognised by Microsoft when he won the Most Valued Professional in AI award in 2020.Shashin Mishra:A senior technology leader, Shashin Mishra has built transformational AI products across industry verticals. In his current role, he is a Director of Data Science and Analytics at Publicis Sapient, the digital business transformation company. Prior to Publicis Sapient, Shashin co-founded an IOT start up to perform real time power distribution grid monitoring and was recognised as the Most Promising Entrepreneur of India in 2009. His current areas of interest are building Responsible Algorithms and the role of Regulators in the future of AI. Shashin lives with his wife and their two children in London, UK.

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EAN PDF
9783030768607
Prix
68,56 €
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
9779 Ko
EAN EPUB
9783030768607
Prix
68,56 €
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
30945 Ko

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