Why Synthetic Data is Needed for AI Fairness and Explainability

Why Synthetic Data is Needed for AI Fairness and Explainability

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore machine learning techniques for audio data modeling in this 47-minute conference talk from Data Science Conference Europe 2022, where speakers Paul Tiwald and Alin Kalam delve into audio source separation applications. Gain insights into the importance of synthetic data for achieving AI fairness and explainability through detailed technical discussions presented at the in-person event in Belgrade.