The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Fairness in Machine Learning with Hanna Wallach - TWiML Talk #232
Feb 18, 2019
Hanna Wallach, Principal Researcher at Microsoft Research, discusses the impact of bias in machine learning, the challenges of deploying fair ML models, and the importance of transparency and interpretability. She highlights the need for diverse stakeholders and fair metrics in model training to address fairness challenges.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Intro
00:00 • 3min
Exploring the Intersection of Machine Learning and Social Processes
02:53 • 3min
Exploring Computational Social Science and its Interdisciplinary Nature
06:20 • 3min
Importance of Fairness in Machine Learning
08:59 • 30min
Navigating the Balance Between Machine Learning Practices and Legal Regulations
39:07 • 2min
Exploring the Mismatch between Industry Practitioners and Academic Literature in Machine Learning Lifecycle
41:21 • 6min