Press Alt+1 for screen-reader mode, Alt+0 to cancelAccessibility Screen-Reader Guide, Feedback, and Issue Reporting

Understanding Open Source Software: Risks and Rewards

Presented by Michael R. Overly

(4,472 Ratings)
LexVid

Watch This Course for Free!

New LexVid members can watch their 1st course for free. No credit card needed, just create an account and you'll receive your certificate immediately after watching your free course.

Already a member? Sign in
Video Player is loading.
Slides
move
Loaded: 0%
Current Time 0:00
Reverse 15 SecondsForward 30 SecondsFull Screen

Course Description

Length: 1h 1min    Published: 7/31/2023    
Open source software is a critical component of nearly all businesses that rely on technology. The legal issues surrounding open source software are quickly evolving. This program will serve as an overview to the key issues in the use of open source software. The speaker will cover the types of licenses involved in open source software, the various risks and challenges in using open source software, documentation issues, vendor engagements, nomenclature, derivative use issues, and more.
Learning Objectives
* Understand the what open source software is and how clients use it in their businesses
* Learn how to spot common legal issues with open source software
* Know how to evaluate the benefits and legal risks of open source software use
Read the course transcript.

Speaker Q&A

Question
Excellent presentation. How do you think or has open source software licensing enforceability been impacted by the rise of AI, much of which is built on open source but has a very black box model?
- MichaelD
Answer
Great question and the subject of one of the few major lawsuits involving AI/Open Source. It really depends on the use case. If a developer is using open source to train AI or to incorporate open source directly into the AI engine, then it is very clear compliance with the relevant licenses must be achieved. If, in contrast, the open source is being used to merely generate output from, say, generative AI, then it seems much cleaner (provided the output contains no element of the open source, itself).
- Michael R. Overly

Presented By:

Michael R. Overly

Los Angeles, CA

213.972.4533

moverly@foley.com

Featured Reviews

"One of the best overviews of Open Source that I've seen. Well done."

   Bradley B