Sep 9–12, 2019
Please log in
Alejandro Saucedo

Alejandro Saucedo
Chief Scientist, The Institute for Ethical AI & Machine Learning


Alejandro Saucedo is the chief scientist at the Institute for Ethical AI & Machine Learning, where he leads highly technical research on machine learning explainability, bias evaluation, reproducibility and responsible design. Previously, Alejandro held technical leadership positions across hypergrowth scale-ups and tech giants including Eigen Technologies, Bloomberg LP, and Hack Partners. He has a strong track record of building departments of machine learning engineers from scratch and leading the delivery of large-scale machine learning system across the financial, insurance, legal, transport, manufacturing, and construction sectors (in Europe, the US, and Latin America).


2:35pm3:15pm Thursday, September 12, 2019
Location: LL21 C/D
Alejandro Saucedo (The Institute for Ethical AI & Machine Learning)
Average rating: ****.
(4.00, 3 ratings)
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.
  • Intel AI
  • O'Reilly
  • Amazon Web Services
  • IBM Watson
  • Dataiku
  • Dell Technologies
  • Intuit
  • Gamalon
  • Hewlett Packard Enterprise
  • MapR Technologies
  • Sisu Data
  • Intuit

Contact us

For conference registration information and customer service

For more information on community discounts and trade opportunities with O’Reilly conferences

Become a sponsor

For information on exhibiting or sponsoring a conference

For media/analyst press inquires