Conf42 Machine Learning 2025 - Online

- premiere 5PM GMT

Ethical Data Engineering: Addressing Privacy, Bias, and Fairness in AI Systems

Abstract

In the age of AI, data engineers hold the key to building fair, private, and transparent systems. Discover how to tackle privacy risks and algorithmic bias through cutting-edge techniques like differential privacy. Learn how ethical data practices can shape AI’s future and build societal trust.

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Arun Vivek Supramanian

Senior Data Engineer @ Amazon



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