The Data Exchange Podcast: Ram Shankar on tools and best practices for building secure and trustworthy ML systems.
Tag: risk
What is AI Assurance?
The Data Exchange Podcast: Ofer Razon on building machine learning tools to scale AI operations.
Viewing machine learning and data science applications as sociotechnical systems
The Data Exchange Podcast: Chris Wiggins on training the next-generation of data scientists on ethics and fairness in ML.
Identifying and mitigating liabilities and risks associated with AI
The Data Exchange Podcast: Andrew Burt on the need for a law firm focused on AI compliance, governance, and incident … More
The responsible development, deployment and operation of machine learning systems
The Data Exchange Podcast: Alejandro Saucedo on explainability, MLOps, adversarial robustness, and privacy.
What businesses need to know about model explainability
The Data Exchange Podcast: Krishna Gade on transparency and explainability in machine learning.
The state of privacy-preserving machine learning
The Data Exchange Podcast: Morten Dahl on TF Encrypted, federated learning, coopetitive learning, and other privacy tools for ML.
Key AI and Data Trends for 2020
The Data Exchange Podcast: Mikio Braun and Ben Lorica on tools, models, applications, and risks to look out for in … More
Building large-scale, real-time computer vision applications
The Data Exchange Podcast: Reza Zadeh on use cases, adversarial attacks, deepfakes, fairness, privacy, and security.