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Tuesday, June 25 • 17:00 - 17:30
Panel: Diversity in ML

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ML models are known to learn from the data they are submitted. However, some problems in the models can only be accounted for when they fail to express the "impartial" perspective they were supposed to have. In this sense, to get the most benefit from advances in AI and machine learning, culture, and diversity in the teams is a critical aspect to avoid data bias in many senses. Without diverse teams, the data and the learned models may drive automation to a bias that only deepens the gap.

Speakers
avatar for Esther Colombini

Esther Colombini

AI Researcher, Advanced Institute for Artificial Intelligence
Professor of Robotics and Artificial Intelligence @ University of Campinas (Unicamp). Ph.D. and an MSc degree in Computer Engineering @ Technological Institute of Aeronautics (ITA).Bachelor on Computer Science @ Universidade Federal da Paraíba (UFPB), partially executed at Unive... Read More →
avatar for Larissa Lautert

Larissa Lautert

Data Scientist, Linx Impulse
Computer scientist working on data science. Experience in predictive models, recommender systems, ETL, A/B test evaluation and data analysis. Passionated by translating large data sets into business insights and answering questions with data. Analytical and thorough profile.
avatar for Ana Paula Appel

Ana Paula Appel

Researcher and Data Scientist, IBM Research
Ana Paula is a Research Staff Member in IBM Research - Brazil, currently work with large amount of data to do Science WITH Data and Science OF Data at IBM Research Brazil. My technical interesting are in data mining and machine learning area specially in graph mining techniques for... Read More →
avatar for Ricardo Herrmann

Ricardo Herrmann

Artificial Intelligence Engineer, Olivia AI
Ricardo Herrmann is a Computer Scientist working as an Artificial Intelligence Engineer at Olivia AI. He has 20 years of experience in the industry, having previously worked as Data Scientist at Dell EMC Consulting and as a Research Software Engineer at IBM Research Brazil, among... Read More →

Tuesday June 25, 2019 17:00 - 17:30 GMT-03
Room 8 Av. Rebouças, 3970 - Pinheiros, São Paulo - SP, 05402-600, Brazil
  Panel

Attendees (208)