Intellectual Property Issues of AIGC: Algorithms, Training Data, and Prompts

• The Definition of AIGC Content as “Works”
• The Definition of AIGC Content “Authors” – Mainstream AIGC User Agreements
• The Definition of AIGC Content “Authors” – Judicial and Other Realistic Attitudes
• Should the “Ideas” of Computer Programs Be Protected?
• Protection Against Unfair Competition for Algorithms
• Designing Protection Paths for AIGC Algorithms
• Legitimate Authorization of Training Data
• Three-Step Test for Reasonable Use of Training Data
• Reference Standards for Legitimacy in Public Data Mining
• Can User Input Data Be Used as Training Data?
• The First Case of Infringement Compensation by AIGC Service Providers
• How AIGC Service Providers Can Avoid Infringement Liability for Training Data
• Exceptions of Training Data and “Fair Use” and Risk Control of Training Data
• Unauthorized Use of Training Data (Stability AI Class Action Case)
• Mass Copyright Infringement (Three Major U.S. Record Companies Suing Two Music AI Models)

Preview of Some Course Materials