TWIMLcon 2019


Operationalizing Responsible AI

Panel Discussion

This panel explores how organizations can go beyond a general desire to be ethical in their use of ML/AI to building transparency, accountability, fairness, anti-bias, etc. into their ML pipelines and practices in a systematic and sustainable way.

Session Speakers

Center for Applied Data Ethics, USF Data Institute
Head of Machine Learning and Applied Research
Georgian Partners
Senior AI Staff Writer
Research Scientist & Sr. Software Engineer

Oops, please Login or Create Account to view On Demand

The good news is that it's both easy and free to register and get access.

Account Login

Create Account

Newsletter Consent(Required)
Terms and Privacy Consent
This field is for validation purposes and should be left unchanged.