Alejandro Saucedo

Alejandro is currently leading the research and development at the Institute for Ethical AI & Machine Learning as their Chief Scientist. With over 10 years of software development experience Alejandro has held technical leadership positions across hyper-growth scale-ups and tech giants including Eigen Tchnologies, Bloomberg LP and Hack Partners. Alejandro has a strong track record 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, US and Latin America). Alejandro has given multiple talks at international scientific, technical and business conferences, and has chaired panels & events with government ministers, senior executives and domain experts.

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Institute / Company – The Institute for Ethical AI & Machine Learning Twitter handle – @Axsaucedo Homepage – Git*hub|lab –


A practical guide towards algorithmic bias and explainability in machine learning

Undesired bias in machine learning has become a worrying topic due to the numerous high profile incidents. In this talk we demystify machine learning bias through a hands-on example. We'll be tasked to automate the loan approval process for a company