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YouTube

AI-Generated Code and Legal Liability - Conditional Intent and Copyright Infringement Risks

Eclipse Foundation via YouTube

Overview

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Explore the legal risks and liabilities associated with using AI-generated code in software development through this comprehensive conference talk. Examine how AI tools like GitHub Copilot frequently copy existing code, creating potential copyright infringement issues and exposing developers to legal consequences including damages, injunctions, and criminal liability. Discover current developments in AI code plagiarism through real-world case studies, live demonstrations of AI code generation tools, and analysis of how AI systems copy from open source repositories and technical books. Learn about the concept of "conditional intent" in legal contexts and understand why incorporating AI-generated code without proper safeguards constitutes a significant liability risk. Investigate specific problems including hallucinated licenses and GPL compliance issues that arise when AI tools generate code with incorrect or fabricated licensing information. Gain practical insights into technical and legal measures that software manufacturers and purchasers can implement to protect themselves from these emerging risks, including strategies for safe AI code usage and compliance frameworks that prevent legal complications before they occur.

Syllabus

– Welcome & Session Context
– What Is “Conditional Intent”
– Why AI Code Is a Legal Risk
– Audience Poll: How Is Code Written Today?
– AI in Software Development: Reality Check
– Live Demo: AI Code Generation Copilot / OpenAI
– Case Study: AI Copying Open Source Code
– Second Example: Bad AI Code from Books
– Hallucinated Licenses & the GPL Problem
– How Companies Can Protect Themselves

Taught by

Eclipse Foundation

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