Alejandro Saucedo
Chairman, The Institute for Ethical AI & Machine Learning

Alejandro Saucedo is chairman at the Institute for Ethical AI & Machine Learning. In his more than 10 years of software development experience, Alejandro has held technical leadership positions across hypergrowth scale-ups and tech giants including Eigen Technologies, Bloomberg LP, and Hack Partners. Alejandro has a strong track record of building multiple departments of machine learning engineers from scratch and leading the delivery of numerous large-scale machine learning systems across the financial, insurance, legal, transport, manufacturing, and construction sectors in Europe, the US, and Latin America.

Sessions

14:35–15:15 Thursday, 17 October 2019

Location: Blenheim Room - Palace Suite

A practical guide toward algorithmic bias and explainability in machine learning

Models and Methods

Secondary topics: Ethics, Security, and Privacy, Machine Learning

Alejandro Saucedo (The Institute for Ethical AI & Machine Learning)

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Alejandro Saucedo demystifies AI explainability through a hands-on case study, where the objective is to automate a loan-approval process by building and evaluating a deep learning model. He introduces motivations through the practical risks that arise with undesired bias and black box models and shows you how to tackle these challenges using tools from the latest research and domain knowledge. Read more.