"As machine learning programs become more sophisticated, they (the programs) will need to be held responsible for their decisions."
Not sure that suggesting "just hold the algorithm itself responsible" is a good lesson to learn from "Responsible AI Algorithm Design."
Introduction to Responsible AI Algorithm Design
With Martin Kemka
Liked by 416 users
Duration: 38m
Skill level: Beginner + Intermediate
Released: 10/28/2020
Course details
What does it mean to design responsible AI algorithms? Instructor Martin Kemka introduces important basics, like defining AI and knowing what it means to be responsible in developing them. Learn how algorithms are deployed and how you can track their use and abuse. Martin also explains the risks of being irresponsible with AI. Find out how an algorithm is created and how you can monitor it. Examine the decision side of the system. Hear about global policies and best practices. Learn how policies differ from one country to another, explore open-source software solutions, and more.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
LinkedIn Learning
Certificate of Completion
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Kennedy Wells
Kennedy Wells
Senior Associate @ KPMG US | Data Analysis, Process Improvement
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Karen Sekunda
Karen Sekunda
SENIOR HUMAN RESOURCES (HR) LEADER l BUSINESS PARTNER l HR TECHNOLOGY SPECIALIST
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Narendra Vartak
Narendra Vartak
Lead Engineer I, Development at KPMG US
Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 4 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units