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Thursday, December 10 • 09:00 - 10:30
Debiasing Artificial Intelligence and Machine Learning

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Artificial intelligence is often billed as the answer to debiasing decision making. Human biases are deeply anchored, most often unnoticed, and reflected in the behaviour that generates data. AI can amplify these biases and patterns, and in some cases even expand the problems in new ways. At best, AI might be able to introduce some degree of objectivity; but to do so, the people writing the code must be aware of and wrestle with biases. This panel discusses strategies and methodologies for navigating these challenges.

avatar for Janine Khuc

Janine Khuc

Data Scientist | Co-Founder R-Ladies Amsterdam
Janine is Data Scientist with expertise within the healthcare domain. Having a background in Psychology and a devote interest in machine learning applications, she is interested in understanding the human reflection in the data and how these biases can be mitigated to leverage the... Read More →

avatar for Maria Axente

Maria Axente

Responsible AI & AI for Good Lead, PwC
In her role as Responsible AI and AI for Good Lead at PwC, Maria advises partners across industry, academia, governments, and internal teams, on how to harness the power of AI and data in an ethical and responsible manner. She has played a crucial part in the development and set-up of PwC’s UK AI Center of Excellence, the firm... Read More →
avatar for Tobias Baer

Tobias Baer

Senior Advisor • Coach • Scholar, Psychology • Risk Management • Data Science
Tobias is a consultant and scholar focusing on the intersections of data science, risk management, and psychology. As an ex McKinsey Partner with over 25 years of global experience, he has been a pioneer in data science (having built McKinsey’s credit risk analytics capabilities... Read More →
avatar for Samantha Van Der Merwe

Samantha Van Der Merwe

Data Science Tech Lead, Kantar
Samantha van der Merwe is a platform owner and the Data Science Tech Lead at Kantar. She has a strong technical background having a Bachelor's Degree in Industrial Engineering and a Masters in Statistics. Her expertise lies in helping Data Science and Analytics teams build and deploy... Read More →

Thursday December 10, 2020 09:00 - 10:30 CET