Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Responsible AI in Practice - Building Ethical Machine Learning Systems

Open Data Science via YouTube

Overview

Discover best practices and cutting-edge open-source tools for implementing Responsible AI in this 38-minute talk by Minsoo Thigpen and Dr. Mehrnoosh Sameki. Delve into the ethical challenges arising as AI and machine learning technologies move from research to real-world applications. Gain valuable insights on incorporating responsible practices into your machine learning lifecycle, ensuring AI benefits people and aligns with ethical standards across industries. Learn about Responsible AI principles, explore open-source tools, and watch a practical demonstration. Perfect for machine learning enthusiasts, AI developers, data scientists, and anyone interested in the ethical implications of AI technology.

Syllabus

- Introduction
- Why Responsible AI?
- Introduction to our Responsible AI Principles
- Introduction to Open Source Tools
- Demo
- Q&A

Taught by

Open Data Science

Reviews

Start your review of Responsible AI in Practice - Building Ethical Machine Learning Systems

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.